CN102752777B - The acquisition methods of wireless network utilization and device - Google Patents

Abstract

The invention provides a method and a device for acquiring wireless network utilization. Obtain the number of cells in the entire network, the full-rate and half-rate traffic volume of voice services when the entire network system is busy and each cell is busy, the number of channels of the base station channel processing module, and the average traffic capacity per channel of voice services; The number of cells, the full-rate and half-rate traffic volume of the voice service during the busy hours of the whole network system to obtain the average voice traffic volume of each cell system during busy hours; The half-rate traffic volume obtains the unbalanced coefficient of the voice service when the cell is busy; according to the average voice traffic volume of the system in each cell when the system is busy, the unbalanced coefficient of the voice service when the cell is busy, the number of channels of the base station channel processing module, and the number of voice services The average traffic capacity per channel captures the wireless network utilization. By adopting the above-mentioned method and device provided by the present invention, the optimal wireless network utilization rate can be obtained under the condition that the traffic demand of the voice service is known.

Description

Method and device for obtaining wireless network utilization rate

technical field

The present invention relates to mobile communication technology, in particular to a method and device for acquiring wireless network utilization.

Background technique

In the Global System for Mobile Communications (GSM for short), in order to evaluate the busyness of the wireless network, the current actual wireless network utilization rate is calculated in real time.

When only voice services are considered, the actual wireless network utilization in the network is defined as:

$\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; total</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; N</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}$

Among them: α represents the utilization rate of the wireless network; A _total represents the total traffic volume of the voice service when the entire network system of a city is busy, and the system busy time refers to the busy time of the voice service system; N represents the total number of cells in the entire network of a city C _i represents the actual available voice service traffic capacity of the i-th cell, which is the number of traffic channels (TrafficChannel, TCH for short) that each cell can actually use, check the Irish B table (ERL-B table for short) calculated.

The value of the actual wireless network utilization rate in the above prior art may reflect the current actual busyness of the network. When optimizing the network, it is necessary to know what value should be used for the wireless network utilization when the voice service traffic demand of the network is a known quantity, so as to optimize the network to the best performance. However, the wireless network utilization obtained by using the prior art cannot reflect the optimal wireless network utilization under the condition that the traffic demand of the voice service is known.

Contents of the invention

The first aspect of the present invention is to provide a method for obtaining the utilization rate of the wireless network, which is used to solve the defects in the prior art, and obtain the optimal utilization rate of the wireless network under the condition that the traffic demand of the voice service is known.

Another aspect of the present invention is to provide a device for obtaining wireless network utilization, which is used to solve the defects in the prior art, and obtain the best wireless network utilization under the condition that the traffic demand of the voice service is known.

The first aspect of the present invention is to provide a method for obtaining wireless network utilization, including:

Obtain the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, the half-rate traffic volume of voice services when the entire network system is busy, the full-rate traffic volume of voice services when each cell is busy, and each The half-rate traffic volume of the voice service when the cell is busy, the number of channels of the base station channel processing module and the preset average traffic capacity per channel of the voice service;

According to the number of cells in the whole network, the full-rate traffic volume of the voice service when the system-wide system is busy, and the half-rate traffic volume of the voice service when the system-wide system is busy, the average voice traffic volume of the system in each cell is obtained when the system is busy. business volume

According to the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, the full-rate traffic volume of the voice service when the entire network system is busy, and the Describe the half-rate traffic volume of the voice service when the whole network system is busy, and obtain the unbalance coefficient of the voice service when the cell is busy;

According to the average traffic volume of the voice service when the system is busy per cell, the unbalance coefficient of the voice service when the cell is busy, the number of channels of the channel processing module of the base station, and the average traffic capacity per channel of the voice service, obtain Wireless network utilization.

The method as described above, wherein, according to the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, and the half-rate traffic volume of voice services when the entire network system is busy, Obtaining the average traffic volume of the voice service when the system is busy in each cell includes:

according to Obtain the total traffic volume of the voice service when the entire network system is busy, wherein _A represents the total traffic volume of the voice service when the entire network system is busy, and A1 represents the full rate of the voice service when the entire network system is busy Traffic, A ₂ represents the half-rate traffic of voice service when the whole network system is busy;

Divide the total traffic volume of voice services during busy hours of the entire network system by the number of cells in the entire network to obtain an average voice traffic volume of each cell during system busy hours.

The above method, wherein, according to the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, and the busy time of the entire network system The full-rate traffic volume of the voice service and the half-rate traffic volume of the voice service when the whole network system is busy, and the unbalance coefficient of the voice service when the cell is busy includes:

according to Obtaining the total traffic volume of the voice service when the cell is busy, wherein _{Ac represents the total traffic volume of the voice service when the cell is busy, and A c1 represents} the full-rate traffic volume of the voice service when each cell is busy The sum of A _c2 represents the sum of the half-rate traffic of the voice service when each cell is busy;

Dividing the total traffic volume of the voice service when the cell is busy by the total traffic volume of the voice service when the whole network system is busy, to obtain the unbalance coefficient of the voice service when the cell is busy.

The method as described above, wherein, before obtaining the preset average traffic capacity per channel of the voice service, it also includes:

Obtain the voice service traffic capacity of the entire network and the number of TCH available service channels of the entire network;

The voice service traffic capacity of the entire network is divided by the number of available TCHs in the entire network to obtain the preset average traffic capacity of each channel of the voice service.

The method as described above, wherein, according to the average traffic volume of the voice service in each cell when the system is busy, the unbalance coefficient of the voice service in the busy time of the cell, the number of channels of the channel processing module of the base station, and the voice traffic The average traffic capacity per channel of the service, and the obtained wireless network utilization includes:

according to Obtain the utilization rate of the wireless network, where A _ave represents the average traffic volume of the voice service in each cell when the system is busy, β represents the unbalance coefficient of the voice service when the cell is busy, M represents the channel number of the channel processing module of the base station, and K _v represents the voice service The average traffic capacity per channel.

Another aspect of the present invention is to provide a device for obtaining wireless network utilization, including:

The first acquisition unit is used to acquire the number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and the full-rate traffic volume of the voice service when each cell is busy. Rate traffic, half-rate traffic of voice services when each cell is busy, channel number of base station channel processing module and preset average traffic capacity per channel of voice services;

The first calculation unit is configured to obtain the average traffic volume of voice services per hour according to the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, and the half-rate traffic volume of voice services when the entire network system is busy. Voice service traffic when the community system is busy;

The second calculation unit is configured to calculate the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, and the voice traffic volume of the entire network system when the system is busy. The full-rate traffic and the half-rate traffic of the voice service when the entire network system is busy, obtain the unbalance coefficient of the voice service when the cell is busy;

The third calculation unit is used to calculate the average traffic volume of the voice service when the system is busy in each cell, the unbalance coefficient of the voice service when the cell is busy, the number of channels of the channel processing module of the base station, and the average of the voice service The traffic capacity of each channel to obtain the utilization rate of the wireless network.

The device as described above, wherein the first computing unit is specifically configured to Obtain the total traffic volume of the voice service when the entire network system is busy, wherein _A represents the total traffic volume of the voice service when the entire network system is busy, and A1 represents the full rate of the voice service when the entire network system is busy Traffic, A2 represents the half _- rate traffic of the voice service when the entire network system is busy, divide the total traffic of the voice service when the entire network system is busy by the number of cells in the entire network to obtain the average The traffic volume of the voice service when the cell system is busy.

The device as described above, wherein the second calculation unit is specifically configured to Obtaining the total traffic volume of the voice service when the cell is busy, wherein _{Ac represents the total traffic volume of the voice service when the cell is busy, and A c1 represents} the full-rate traffic volume of the voice service when each cell is busy A _c2 represents the sum of the half-rate traffic of the voice service when each cell is busy, and divides the total traffic of the voice service when the cell is busy by the total of the voice traffic of the entire network system when it is busy. Traffic volume, to obtain the unbalanced coefficient of the voice service when the cell is busy.

The above-mentioned device, which also includes:

The second obtaining unit is used to obtain the voice service traffic capacity of the entire network and the number of TCH available traffic channels of the entire network;

The fourth calculation unit is configured to divide the voice service traffic capacity of the entire network by the number of available TCHs in the entire network to obtain the preset average traffic capacity per channel of the voice service.

The device as described above, wherein the third computing unit is specifically configured to Obtain the utilization rate of the wireless network, where A _ave represents the average traffic volume of the voice service in each cell when the system is busy, β represents the unbalance coefficient of the voice service when the cell is busy, M represents the channel number of the channel processing module of the base station, and K _v represents the voice service The average traffic capacity per channel.

It can be seen from the content of the above invention that according to the acquired number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and the traffic volume of the voice service when each cell is busy Full-rate traffic volume, half-rate traffic volume of voice services when each cell is busy, the number of channels of the base station channel processing module, and the preset average traffic capacity per channel of voice services, etc., to calculate the average system busy time of each cell The traffic volume of the voice service and the unbalanced coefficient of the voice service when the cell is busy, so that according to the average traffic volume of the voice service when the system is busy in each cell, the unbalanced coefficient of the voice service when the cell is busy, the number of channels of the base station channel processing module, and the voice service The average traffic capacity per channel is obtained to obtain the best wireless network utilization under the condition that the traffic demand of the voice service is known.

Description of drawings

FIG. 1 is a flowchart of a method for obtaining wireless network utilization in Embodiment 1 of the present invention;

FIG. 2 is a flowchart of a method for obtaining wireless network utilization in Embodiment 2 of the present invention;

FIG. 3 is a schematic structural diagram of an apparatus for obtaining a wireless network utilization rate according to Embodiment 3 of the present invention.

detailed description

When the voice traffic demand is known, the most reasonable wireless network capacity should just meet the traffic demand for a period of time, that is to say, the wireless network capacity can meet the traffic demand of each cell without any redundant Reduce carrier frequency. Therefore, the optimal wireless network utilization under the condition of known voice traffic demand can be defined as:

${\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; total</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; N</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}$

Among them, α' represents the utilization rate of the wireless network, A _total represents the total traffic volume of the voice service when the system of the entire network voice service in a city is busy, N represents the total number of cells in the city, and C _i represents that the i-th cell needs to be configured traffic capacity of voice services. The traffic capacity that needs to be configured in the cell is based on the traffic load of each cell, check the Irish B table (ERL-B table for short) to get the number of service channels that need to be configured, and round up according to the channel number of the base station channel processing module , get the number of channels that need to be configured, and then check the ERL-B table to get the traffic capacity that needs to be configured. Specifically, it can be expressed by the following formula:

${\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; GETA</span>}<span\; class="notranslate">\; \{</span>\mathrm{<span\; class="notranslate">\; ROUNDUP</span>}<span\; class="notranslate">\; [</span>\frac{\mathrm{<span\; class="notranslate">\; GETN</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; \}</span>$

Among them, A _i represents the voice traffic volume of the i-th cell when it is the busiest; E represents the call loss rate, which is the operator’s requirement for network indicators, and the general value is 1% to 5%; M represents the channel processing module of the base station The number of channels, for the GSM network, the value of M is usually 8; GETN means the function of calculating the number of channels required by linear interpolation according to the traffic volume, call loss rate and ERL-B table; GETA means according to the number of channels, call Loss rate and ERL-B table, using linear interpolation to calculate the function of traffic capacity; ROUNDUP means the function of rounding up. In the above formula, the traffic volume in the GETN function and the number of channels in the GETA function are not rounded, and are calculated by linear interpolation according to the ERL-B table.

Since half-rate traffic is enabled in most cities, and half-rate traffic accounts for a relatively large proportion in some cities, in order to more accurately reflect the utilization of network resources, it is necessary to calculate the total voice traffic when the system is busy. The half-rate traffic is halved, that is, the total voice traffic when the system is busy = the total traffic of full-rate service channels when the system is busy + the total traffic of half-rate service channels/2 when the system is busy.

Through the statistical analysis of the traffic capacity in the GSM network, it can be found that: when the carrier frequency of the GSM network is low, that is, when the carrier frequency of the cell configuration in the network is small, it is more accurate to use the ERL-B table to calculate the traffic capacity . Because when the number of carrier frequencies configured in a cell is small, the number of channels in each cell is limited, and the average traffic capacity of each channel varies greatly with the number of channels. And when the carrier frequency of the GSM network is configured with high frequency, that is, when the carrier frequency of the cell configuration in the network is large, the average traffic capacity of each channel does not change much with the number of channels. Table 1 shows the average traffic capacity per channel when different carrier frequencies are configured. It can be seen from Table 1 that when the carrier frequency configuration is small, for example, the number of carrier frequencies configured in the cell in Table 1 is less than three carrier frequencies, the average traffic capacity per channel varies from 0.38erl/tch to 0.67erl/tch, and the change When the carrier frequency configuration is relatively high, for example, the number of carrier frequencies configured in the cell in Table 1 is more than three carrier frequencies, the average traffic capacity of each channel varies from 0.67erl/tch to 0.82erl/tch, and the change is relatively large. Small. Moreover, when the network carrier frequency configuration is high, the operator also requires the network to have a certain overload capacity, so that the load of each channel will not be too high.

Table 1 The average traffic capacity of each channel under different carrier frequency configurations

Carrier frequency Number of TCH channels traffic capacity Average traffic capacity per channel 1 6 2.276 0.38 2 14 8.200 0.59 3 twenty one 14.036 0.67 4 28 20.150 0.72 5 36 27.343 0.76 6 43 33.758 0.79 7 51 41.189 0.81 8 58 47.758 0.82

Therefore, in each embodiment of the present invention, according to the above characteristics of the GSM network when the carrier frequency is high, the traffic capacity of the network can be calculated by multiplying the number of channels by the traffic capacity of each channel. According to the above analysis, when the network carrier frequency is high, the calculation method of the traffic capacity C _i of the voice service that needs to be configured in the optimized i-th cell is:

${\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; ROUNDUP</span>}<span\; class="notranslate">\; [</span>\frac{{\mathrm{<span\; class="notranslate">\; A</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; /</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}}{\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}$

Wherein, A _i represents the voice traffic volume of the ith cell itself when it is the busiest. M represents the channel number of the base station channel processing module. For the GSM network, the value of M is usually 8. If there are many double-density carrier frequencies, the weighted average value can be taken. ROUNDUP is a function that rounds up. K _v represents the average traffic capacity per channel of the voice service.

In each embodiment of the present invention, according to the above-mentioned characteristics of the GSM network when the carrier frequency is high, the above-mentioned optimized method is used to calculate the traffic capacity C _i of the voice service that needs to be configured in the i-th cell, and then according to the calculation C _i The method optimizes the method for obtaining the best wireless network utilization rate when the voice traffic demand is known, and accordingly optimizes the device adopting the method for obtaining the wireless network utilization rate. Specifically, for the method for obtaining the optimized wireless network utilization rate, please refer to the following descriptions of Embodiment 1 and Embodiment 2 of the present invention, and for the device for obtaining the optimized wireless network utilization rate, refer to the following description for details of Embodiment 3 of the present invention. .

FIG. 1 is a flow chart of a method for obtaining a wireless network utilization rate according to Embodiment 1 of the present invention. As shown in Figure 1, the method includes the following processes.

Step 101: Obtain the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, the half-rate traffic volume of voice services when the entire network system is busy, and the full-rate traffic volume of voice services when each cell is busy , the half-rate traffic volume of the voice service when each cell is busy, the channel number of the channel processing module of the base station, and the preset average traffic capacity per channel of the voice service.

Step 102: According to the number of cells in the whole network, the full-rate traffic volume of the voice service when the system is busy in the whole network, and the half-rate traffic volume of the voice service in the busy time of the system in the whole network, obtain the average traffic volume of the voice service in each cell when the system is busy.

Step 103: According to the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, the full-rate traffic volume of the voice service when the entire network system is busy, and the busy time of the entire network system The half-rate traffic of the voice service during the hour, and obtain the unbalance coefficient of the voice service during the busy time of the cell.

Step 104: Obtain the wireless network utilization rate according to the average system busy hour voice traffic volume per cell, the unbalance coefficient of the voice service when the cell is busy, the channel number of the base station channel processing module, and the average voice traffic volume per channel of the voice service.

In Embodiment 1 of the present invention, according to the obtained number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and the voice traffic volume when each cell is busy The full-rate traffic volume of the service, the half-rate traffic volume of the voice service when each cell is busy, the number of channels of the base station channel processing module, and the preset average traffic capacity per channel of the voice service, etc., calculate the average per-cell system The traffic volume of the voice service during busy hours and the unbalance coefficient of the voice service during the busy hours of the cell, so that according to the average traffic volume of the voice service during the busy hour of the system in each cell, the unbalanced coefficient of the voice service during the busy time of the cell, the number of channels of the base station channel processing module and the The average traffic capacity per channel of the voice service, to obtain the best wireless network utilization under the condition that the voice service traffic demand is known.

FIG. 2 is a flow chart of a method for obtaining a wireless network utilization rate according to Embodiment 2 of the present invention. As shown in Figure 2, the method includes the following processes.

First, the average traffic capacity per channel of the voice service is preset. This process may specifically include the following steps 201 and 202.

Step 201: Obtain the voice service traffic capacity of the entire network and the number of available traffic channels (Traffic Channels, TCH for short) of the entire network.

In this step, the voice traffic capacity of the entire network and the number of available TCHs in the entire network can be extracted from the network management system.

Step 202: Divide the voice service traffic capacity of the entire network by the number of available TCHs in the entire network to obtain a preset average traffic capacity per channel of the voice service.

In this step, for a network, divide the voice service traffic capacity of the entire network by the number of available TCHs in the entire network to obtain the average traffic capacity per channel of the voice service corresponding to the network, and use this value as the preset voice service The average traffic capacity per channel, expressed in _Kv . When the network configuration of a local network does not change greatly, the calculated value of _Kv changes very little, so the value of _Kv can be preset as a fixed value. In practical applications, in a local network, According to the actual situation of the network itself, K _v can be uniformly preset as a value, and the preset K _v can be directly obtained in the subsequent process of obtaining the utilization rate of the wireless network. Preferably, the value of K _v may be between 0.6 and 0.8.

Then, get the wireless network utilization. This process may specifically include the following steps 203 to 208.

Step 203: Obtain the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, the half-rate traffic volume of voice services when the entire network system is busy, and the full-rate traffic volume of voice services when each cell is busy , the half-rate traffic volume of the voice service when each cell is busy, the channel number of the channel processing module of the base station, and the preset average traffic capacity per channel of the voice service.

In this step, the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, the half-rate traffic volume of voice services when the entire network system is busy, and the full-rate traffic volume of voice services when each cell is busy The traffic volume, the half-rate traffic volume of the voice service when each cell is busy, and the channel number of the channel processing module of the base station can be extracted from the network management system.

After step 203, according to the number of sub-districts in the whole network, the full-rate traffic volume of the voice service during the busy time of the whole network system, and the half-rate traffic volume of the voice service during the busy time of the whole network system, the average voice service traffic volume during the busy time of the system of each community is obtained and, according to the full-rate traffic volume of voice services when each cell is busy, the half-rate traffic volume of voice services when each cell is busy, the full-rate traffic volume of voice services when the entire network system is busy, and the entire network system The half-rate traffic of the voice service during busy hours, and obtain the unbalance coefficient of the voice service during the busy hours of the cell. Specifically, the process may include the following steps 204 to 207.

Step 204: According to the full-rate traffic volume of the voice service during the busy time of the whole network system and the half-rate traffic volume of the voice service during the busy time of the whole network system, obtain the total traffic volume of the voice service during the busy time of the whole network system.

In this step, specifically, according to Obtain the total traffic volume of the voice service when the entire network system is busy, where A represents the total traffic volume of the voice service when the entire network system is busy, A ₁ represents the full-rate traffic volume of the voice service when the entire network system is busy, and A ₂ Indicates the half-rate traffic volume of the voice service when the entire network system is busy.

Step 205: Divide the total traffic volume of voice services during system-wide busy hours by the number of cells in the entire network to obtain the average traffic volume of voice services per cell during system-busy hours.

In this step, A _ave is used to represent the average voice traffic volume of each cell when the system is busy.

Step 206: Obtain the total traffic volume of the voice service when the cell is busy according to the full-rate traffic volume of the voice service when each cell is busy and the half-rate traffic volume of the voice service when each cell is busy.

In this step, the full-rate traffic of the voice service when each cell is busy is summed to obtain the sum of the full-rate traffic of the voice service when each cell is busy, and the voice traffic of each cell is busy The half-rate traffic is summed to obtain the sum of the half-rate traffic of the voice service when each cell is busy, and then use half of the sum of the half-rate traffic of the voice service when each cell is busy The sum of the full-rate traffic of the voice service is taken as the total traffic of the voice service when the cell is busy. Specifically, according to Acquire the total traffic volume of the voice service when the cell is busy, where A _c represents the total traffic volume of the voice service when the cell is busy, A _c1 represents the sum of the full-rate traffic volume of the voice service when each cell is busy, and A _c2 represents The sum of the half-rate traffic of voice services when each cell is busy.

Step 207: Divide the total traffic volume of voice services during busy hours of the cell by the total traffic volume of voice services during busy hours of the entire network system to obtain an imbalance coefficient of voice services during busy hours of the cell.

In this step, β represents the unbalanced coefficient of the voice service when the cell is busy.

Step 208: Obtain the wireless network utilization rate according to the average system busy hour voice traffic volume per cell, the unbalance coefficient of the voice service when the cell is busy, the channel number of the base station channel processing module, and the average voice traffic volume per channel of the voice service.

In this step, specifically, according to Obtain the utilization rate of the wireless network, where A _ave represents the average traffic volume of the voice service in each cell when the system is busy, β represents the unbalance coefficient of the voice service when the cell is busy, M represents the channel number of the channel processing module of the base station, and K _v represents the voice service The average traffic capacity per channel.

Using the above method, it is possible to easily calculate the optimal wireless network utilization rate in a certain period of time (such as a day, a week or a month) on the live network under the condition that the voice traffic demand is known. In this case, the above process The average traffic volume of the voice service in the system busy hours of each cell adopts the traffic statistics of the live network. Alternatively, the above method can also be used to predict the optimal wireless network utilization rate when the voice service traffic demand is known at a certain time in the future. In this case, the average system busy hour voice service traffic per cell in the above process The traffic volume adopts the traffic prediction value.

In Embodiment 2 of the present invention, according to the obtained number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and the voice traffic volume when each cell is busy The full-rate traffic volume of the service, the half-rate traffic volume of the voice service when each cell is busy, the number of channels of the base station channel processing module, and the preset average traffic capacity per channel of the voice service, etc., calculate the average per-cell system The traffic volume of the voice service during busy hours and the unbalance coefficient of the voice service during the busy hours of the cell, so that according to the average traffic volume of the voice service during the busy hour of the system in each cell, the unbalanced coefficient of the voice service during the busy time of the cell, the number of channels of the base station channel processing module and the The average traffic capacity per channel of the voice service can obtain the best wireless network utilization under the condition that the voice service traffic demand is known. Moreover, the method does not need to extract and analyze cell-level data, so the calculation amount is small, and the acquisition efficiency of the wireless network utilization rate is high.

FIG. 3 is a schematic structural diagram of an apparatus for obtaining a wireless network utilization rate according to Embodiment 3 of the present invention. As shown in FIG. 3 , the device at least includes: a first acquisition unit 31 , a first calculation unit 32 , a second calculation unit 33 and a third calculation unit 34 .

Among them, the first acquiring unit 31 is used to acquire the number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and the voice traffic volume of each cell when the system is busy. The full-rate traffic volume of each cell, the half-rate traffic volume of voice services when each cell is busy, the number of channels of the base station channel processing module, and the preset average traffic capacity per channel of voice services.

The first calculation unit 32 is used to obtain the average voice traffic of each cell when the system is busy according to the number of cells in the whole network, the full-rate traffic volume of the voice service during the busy time of the whole network system, and the half-rate traffic volume of the voice business during the busy time of the whole network system Traffic.

The second calculating unit 33 is used for the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, the full-rate traffic volume and the full-rate traffic volume of the voice service when the whole network system is busy. The half-rate traffic of the voice service when the whole network system is busy, and obtain the unbalance coefficient of the voice service when the cell is busy.

The third calculation unit 34 is used to obtain the wireless communication system according to the average traffic volume of the voice service when the system is busy in each cell, the unbalanced coefficient of the voice service when the cell is busy, the channel number of the base station channel processing module, and the average traffic capacity per channel of the voice service. network utilization.

On the basis of the above technical solution, further, the apparatus for obtaining the utilization rate of the wireless network according to Embodiment 3 of the present invention may further include: a second obtaining unit 35 and a fourth calculating unit 36 . Wherein, the second acquisition unit 35 is configured to acquire the voice service traffic capacity of the entire network and the number of available TCHs of the entire network. The fourth calculation unit 36 is used to divide the voice service traffic capacity of the entire network by the number of available TCHs in the entire network to obtain the preset average traffic capacity per channel of the voice service.

On the basis of the above technical solution, specifically, the first computing unit 32 is specifically configured to Obtain the total traffic volume of the voice service when the entire network system is busy, where A represents the total traffic volume of the voice service when the entire network system is busy, A ₁ represents the full-rate traffic volume of the voice service when the entire network system is busy, and A ₂ Indicates the half-rate traffic volume of the voice service during the busy hours of the entire network system, and divides the total traffic volume of the voice service during the busy time of the entire network system by the number of cells on the entire network to obtain the average voice traffic volume of each cell during the busy hour of the system.

On the basis of the above technical solution, specifically, the second calculation unit 33 is specifically configured to Acquire the total traffic volume of the voice service when the cell is busy, where A _c represents the total traffic volume of the voice service when the cell is busy, A _c1 represents the sum of the full-rate traffic volume of the voice service when each cell is busy, and A _c2 represents The sum of the half-rate traffic of voice services during busy hours of each cell is divided by the total traffic of voice services during busy hours of the entire network system to obtain the total traffic volume of voice services during busy hours of the cell. Equilibrium coefficient.

On the basis of the above technical solution, specifically, the third computing unit 34 is specifically configured to Obtain the utilization rate of the wireless network, where A _ave represents the average traffic volume of the voice service in each cell when the system is busy, β represents the unbalance coefficient of the voice service when the cell is busy, M represents the channel number of the channel processing module of the base station, and K _v represents the voice service The average traffic capacity per channel.

In Embodiment 3 of the present invention, according to the number of cells in the entire network acquired by the first acquisition unit, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and each Parameters such as the full-rate traffic volume of the voice service when the cell is busy, the half-rate traffic volume of the voice service when each cell is busy, the number of channels of the channel processing module of the base station, and the preset average traffic capacity per channel of the voice service. A calculating unit and the second calculating unit respectively calculate the unbalanced coefficient of the voice service traffic volume when the system is busy in each cell and the voice service when the cell is busy, so that the third calculating unit is based on the average traffic volume of the voice service when the system is busy in each cell, The unbalance coefficient of the voice service when the cell is busy, the number of channels of the base station channel processing module, and the average traffic capacity per channel of the voice service can obtain the best wireless network utilization under the condition that the voice service traffic demand is known.

In the first embodiment of the present invention to the third embodiment of the present invention, M/2 in represents the average number of additional channels per cell due to the modular configuration of the carrier frequency; A _ave ×β+M/2×K _v represents the average voice service capacity that each cell needs to configure. For each cell, due to the modular configuration, the number of channels actually configured must be more than the number of channels actually needed. For the GSM network, the minimum number of allocated channels is 0, and the maximum is close to 8, distributed in [0, 8 ) range. Divide this interval into 8 intervals, and count the number of residential areas in 48 prefectures and cities in 6 provinces. Through the analysis of the statistical results, it can be seen that there is little difference in the proportion of the number of residential areas in each interval to the total number, and the multi-channel The number average is around 4, which is half of the 8 channels per carrier frequency. It can be seen that the number of cells in each interval is roughly equal, and the average number of over-allocated channels is 4.

Preferably, the method for obtaining the utilization rate of the wireless network described in Embodiment 1 of the present invention and Embodiment 2 of the present invention and the device for obtaining the utilization rate of the wireless network described in Embodiment 3 of the present invention are applied to GSM under the condition of high carrier frequency configuration. In the network, the optimal wireless network utilization rate is calculated when the traffic demand of the voice service is known, that is, when there are many carrier frequencies applied to the cell configuration in the network, for example, the cells in the network are configured with three carrier frequencies and above as the In the case of high carrier frequency configuration, the optimal wireless network utilization rate is calculated when the voice service traffic demand is known. For example, the method for obtaining the wireless network utilization rate described in the first embodiment of the present invention and the second embodiment of the present invention and the device for obtaining the wireless network utilization rate described in the third embodiment of the present invention are applicable to voice services in high-configuration areas of China Unicom's GSM network. Obtaining the utilization rate of the wireless network when the traffic demand is known, such as some networks in urban areas such as Beijing and Shanghai, is also applicable to the wireless network of China Mobile's local network-level GSM network when the voice service traffic demand is known acquisition of utilization.

The optimal wireless network utilization rate obtained by using the first to third embodiments of the present invention under the condition that the voice traffic demand is known can be applied to the macro planning of the network. In the current macro-planning, the wireless capacity and the required number of carriers to meet the end of the period mainly rely on the experience of engineering designers to estimate, and no quantitative calculation method has been found. Using the first to third embodiments of the present invention to obtain the voice After the optimal wireless network utilization rate is known when the traffic demand is known, it can be quantitatively calculated. First, calculate the average traffic volume per cell that satisfies the end of the period based on the traffic volume at port A obtained from the business forecast, and use the method or device in Embodiment 1 to Embodiment 3 of the present invention to obtain the best voice traffic demand wireless network utilization. Then, by dividing the predicted A port traffic by the best wireless network utilization rate when the voice traffic demand obtained by the method or device of Embodiment 1 to Embodiment 3 of the present invention is known, it can be calculated to meet the end-of-period wireless capacity, and then calculate the required number of carrier frequencies. In particular, it should be noted that many cities have traffic bursts at a certain time, such as traffic bursts during the Spring Festival, and the traffic forecast at the end of the period is also based on the peak traffic at this time. The value must be based on the imbalance coefficient at that time, because the imbalance coefficient varies greatly at different times, for example, the value of the imbalance coefficient during the Spring Festival is much smaller than that of weekdays.

The optimal wireless network utilization rate obtained by using the first to third embodiments of the present invention under the condition that the voice traffic demand is known can also be used to evaluate the network busyness. At present, the actual utilization rate is used to evaluate the busyness of the wireless network. It is related to various factors such as the total traffic volume, traffic density, traffic distribution, population, economy, and geographical environment in various places. Its value can reflect the network at different times. Load changes, but can not be used to make horizontal comparisons between different cities. The actual wireless network utilization rate of city A is higher than that of city B, but it does not necessarily mean that the wireless network of city A is busier than that of city B. With the best wireless network utilization rate obtained under the known situation of the voice traffic demand obtained in the first to third embodiments of the present invention, the actual wireless network utilization and the above-mentioned obtained in the first to third embodiments of the present invention can be used. When the voice traffic demand is known, the difference between the optimal wireless network utilization rate is calculated to calculate the overload rate, and the horizontal comparison between different cities and provinces is carried out according to the overload rate, and the wireless network that needs to be added to the current network can be calculated. capacity. When the overload rate is negative, it means that the current network is relatively idle, and there is still room for improvement in traffic. Traffic volume marketing and other means can be used to promote traffic growth, thereby increasing the utilization rate of the existing network. When the overload rate is zero, it means that the current traffic volume matches the actual network configuration, which is the state where network resources are fully utilized. When the overload rate is positive, it means that the current network is relatively busy, and the wireless network capacity configuration is insufficient, and capacity expansion is needed to meet the current traffic demand. For example, the following formula can be used to calculate the wireless capacity that needs to be added: wireless capacity that needs to be added = traffic volume of the existing network system during busy hours / optimal wireless network utilization when the voice traffic demand is known - existing network wireless capacity.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (8)

1. A method for obtaining wireless network utilization, comprising: Obtain the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, the half-rate traffic volume of voice services when the entire network system is busy, the full-rate traffic volume of voice services when each cell is busy, and each The half-rate traffic volume of the voice service when the cell is busy, the number of channels of the base station channel processing module and the preset average traffic capacity per channel of the voice service; According to the number of cells in the whole network, the full-rate traffic volume of the voice service when the system-wide system is busy, and the half-rate traffic volume of the voice service when the system-wide system is busy, the average voice traffic volume of the system in each cell is obtained when the system is busy. business volume According to the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, the full-rate traffic volume of the voice service when the entire network system is busy, and the Describe the half-rate traffic volume of the voice service when the whole network system is busy, and obtain the unbalance coefficient of the voice service when the cell is busy; According to the average traffic volume of the voice service when the system is busy per cell, the unbalance coefficient of the voice service when the cell is busy, the number of channels of the channel processing module of the base station, and the average traffic capacity per channel of the voice service, obtain Wireless network utilization, including: according to Obtain the utilization rate of the wireless network, where A _ave represents the average traffic volume of the voice service in each cell when the system is busy, β represents the unbalance coefficient of the voice service when the cell is busy, M represents the channel number of the channel processing module of the base station, and K _v represents the voice service The average traffic capacity per channel. 2. The method according to claim 1, characterized in that, according to the number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, and the voice traffic when the entire network system is busy, The half-rate traffic volume, to obtain the average traffic volume of the voice service in each cell when the system is busy includes: according to Obtain the total traffic volume of the voice service when the entire network system is busy, wherein _A represents the total traffic volume of the voice service when the entire network system is busy, and A1 represents the full rate of the voice service when the entire network system is busy Traffic, A ₂ represents the half-rate traffic of voice service when the whole network system is busy; Divide the total traffic volume of voice services during busy hours of the entire network system by the number of cells in the entire network to obtain an average voice traffic volume of each cell during system busy hours. 3. The method according to claim 2, characterized in that, according to the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, The full-rate traffic volume of the voice service when the entire network system is busy and the half-rate traffic volume of the voice service when the entire network system is busy, and the unbalance coefficient of the voice service when the cell is busy is obtained: according to Obtaining the total traffic volume of the voice service when the cell is busy, wherein _{Ac represents the total traffic volume of the voice service when the cell is busy, and A c1 represents} the full-rate traffic volume of the voice service when each cell is busy The sum of A _c2 represents the sum of the half-rate traffic of the voice service when each cell is busy; Dividing the total traffic volume of the voice service when the cell is busy by the total traffic volume of the voice service when the whole network system is busy, to obtain the unbalance coefficient of the voice service when the cell is busy. 4. The method according to claim 1, characterized in that, before obtaining the average traffic capacity per channel of the preset voice service, further comprising: Obtain the voice service traffic capacity of the entire network and the number of TCH available service channels of the entire network; The voice service traffic capacity of the entire network is divided by the number of available TCHs in the entire network to obtain the preset average traffic capacity of each channel of the voice service. 5. A device for acquiring wireless network utilization, comprising: The first acquisition unit is used to acquire the number of cells in the entire network, the full-rate traffic volume of the voice service when the entire network system is busy, the half-rate traffic volume of the voice service when the entire network system is busy, and the full-rate traffic volume of the voice service when each cell is busy. Rate traffic, half-rate traffic of voice services when each cell is busy, channel number of base station channel processing module and preset average traffic capacity per channel of voice services; The first calculation unit is configured to obtain the average traffic volume of voice services per hour according to the number of cells in the entire network, the full-rate traffic volume of voice services when the entire network system is busy, and the half-rate traffic volume of voice services when the entire network system is busy. Voice traffic volume when the community system is busy; The second calculation unit is configured to calculate the full-rate traffic volume of the voice service when each cell is busy, the half-rate traffic volume of the voice service when each cell is busy, and the voice traffic volume of the entire network system when the system is busy. The full-rate traffic and the half-rate traffic of the voice service when the entire network system is busy, obtain the unbalance coefficient of the voice service when the cell is busy; The third calculation unit is used to calculate the average traffic volume of the voice service when the system is busy in each cell, the unbalance coefficient of the voice service when the cell is busy, the number of channels of the channel processing module of the base station, and the average of the voice service The traffic capacity of each channel is used to obtain the utilization rate of the wireless network, and the third calculation unit is specifically used to Obtain the utilization rate of the wireless network, where A _ave represents the average traffic volume of the voice service in each cell when the system is busy, β represents the unbalance coefficient of the voice service when the cell is busy, M represents the channel number of the channel processing module of the base station, and K _v represents the voice service The average traffic capacity per channel. 6. The device according to claim 5, characterized in that, The first computing unit is specifically used to Obtain the total traffic volume of the voice service when the entire network system is busy, wherein _A represents the total traffic volume of the voice service when the entire network system is busy, and A1 represents the full rate of the voice service when the entire network system is busy Traffic, A2 represents the half _- rate traffic of the voice service when the entire network system is busy, divide the total traffic of the voice service when the entire network system is busy by the number of cells in the entire network to obtain the average The traffic volume of the voice service when the cell system is busy. 7. The device of claim 6, wherein: The second computing unit is specifically used to Obtaining the total traffic volume of the voice service when the cell is busy, wherein _{Ac represents the total traffic volume of the voice service when the cell is busy, and A c1 represents} the full-rate traffic volume of the voice service when each cell is busy A _c2 represents the sum of the half-rate traffic of the voice service when each cell is busy, and divides the total traffic of the voice service when the cell is busy by the total of the voice traffic of the entire network system when it is busy. Traffic volume, to obtain the unbalanced coefficient of the voice service when the cell is busy. 8. The device according to claim 5, further comprising: The second obtaining unit is used to obtain the voice service traffic capacity of the entire network and the number of TCH available traffic channels of the entire network; The fourth calculation unit is configured to divide the voice service traffic capacity of the entire network by the number of available TCHs in the entire network to obtain the preset average traffic capacity per channel of the voice service.