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WO2018010778A1 - Dispositif de calcul de faisceau, dispositif de transmission et procédés associés - Google Patents

Dispositif de calcul de faisceau, dispositif de transmission et procédés associés Download PDF

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Publication number
WO2018010778A1
WO2018010778A1 PCT/EP2016/066601 EP2016066601W WO2018010778A1 WO 2018010778 A1 WO2018010778 A1 WO 2018010778A1 EP 2016066601 W EP2016066601 W EP 2016066601W WO 2018010778 A1 WO2018010778 A1 WO 2018010778A1
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WO
WIPO (PCT)
Prior art keywords
transmission
computing device
interval
beams
processor
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Ceased
Application number
PCT/EP2016/066601
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English (en)
Inventor
Majid NASIRI KHORMUJI
Renaud-Alexandre PITAVAL
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to PCT/EP2016/066601 priority Critical patent/WO2018010778A1/fr
Publication of WO2018010778A1 publication Critical patent/WO2018010778A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • H04B7/0421—Feedback systems utilizing implicit feedback, e.g. steered pilot signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0602—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching
    • H04B7/0608—Antenna selection according to transmission parameters
    • H04B7/061—Antenna selection according to transmission parameters using feedback from receiving side
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/063—Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
    • H04B7/06952—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping

Definitions

  • the present invention relates to a beam computing device and to a transmitting device comprising such a beam computing device. Furthermore, the present invention also relates to corresponding methods, a computer program, and a computer program product.
  • Beam scanning is an appealing approach proposed for massive multiple input multiple output (mMIMO) communications.
  • the transmitter With beam scanning, the transmitter creates and radiates multiple beams in different directions to find the best transmission direction through feedback from the receiver side.
  • the transmitter When the number of antennas increases, the transmitter becomes capable of generating narrow beams that enable so-called pencil beamforming.
  • the pencil beamforming provides high signal to noise ratio (SNR) links due to the fact the transmitted energy is concentrated in a desirable direction.
  • SNR signal to noise ratio
  • communication through pencil beamforming creates less interference on unintended neighbouring nodes as the transmitted energy is mostly directed toward the indented receiver.
  • the beam scanning can be used for applications including frequency division duplex (FDD) mMIMO as well as millimetre wave (mmW) communications where the channel is very directional. That is, the channel response contains some main directions, and often a line-of-sight (LoS) component is present.
  • FDD frequency division duplex
  • mmW millimetre wave
  • a common solution for beam scanning is to divide the range of the angles uniformly and to construct beams whose main lobes are located at the uniformly selected angles in the given range. Normally it is also desirable to optimize the width of the main lobe such that the set of beams cover a range of angles to avoid outage. Assuming that the channel response is highly directional with departure angles ranging from ⁇ p min to (p max , i.e., any transmission outside of this range is considered too attenuated to be detectable by the receiver.
  • beams are constructed with fixed width that depends only on the number of transmit antennas and independent of the size of the beam codebook used for generating the beams.
  • the advantage of this conventional solution is to provide the maximum beamforming gain when the angles are estimated exactly.
  • Another advantage is that the beams can be created with a low complexity operation where one phase-shift per antenna is required to create t e beams.
  • This conventional beam scanning method constructs M beams with their main lobes separated by - ⁇ ((p max - ⁇ Pmin) from one another. For the transmission of these M beams, at least M pilot symbols are required and the feedback required for reporting the strongest beam equals to log 2 M bits.
  • step 3 the most common combining strategy is to directly make an arithmetic average, i.e. equal gain combining of the high-resolution beams.
  • An advantage of this method is that this method only requires phase-shift that can be implemented with an analogue circuit with a limited number of radio-frequency chains. The beams generated by this method always satisfy a good angular coverage at the cost of power fluctuation in the assigned sector. It is also possible to employ more sophisticated combining methods to flatten the beam at cost of much higher complexity.
  • An objective of embodiments of the present invention is to provide a solution which mitigates or solves the drawbacks and problems of conventional solutions.
  • the above mentioned and other objectives are achieved with a beam computing device for beam scanning in a wireless communication system, the beam computing device comprising a processor configured to
  • the beam computing device provides a number of advantages over conventional solutions.
  • One such advantage is that the beams for beam scanning according to the first aspect, in contrast to conventional solutions, is adapted to the statistical distribution of the angles. This provides a higher rate link transmission when the emitted angles are concentrated toward main angles considered in the beam scanning design. This can also reduce the feedback overhead for reporting the strongest beam since the size of the beams codebook can be adapted to the statistical properties.
  • the statistical property for the first transmission angle is a cumulative distribution function, and wherein the processor is configured to
  • the first implementation form provides the statistical information necessary to design the codebook by partitioning the cdf into M number of intervals wherein the angles of the beams are adjusted toward the cdf, which provides a better link budget (e.g. SNR) which enables a higher rate transmission.
  • Choice of M also affects the number of feedback overhead necessary to report the beam indices from the receiver which can be decreased by adapting the codebook to the cdf.
  • overhead can be also adapted to the statistical properties.
  • the processor is configured to partition the cumulative distribution function into the M number of intervals so that first transmission angles associated to each interval have the same probability.
  • the statistical property may be any of: an angular range, a mean, a variance, and a probability density function, and a cumulative distribution function.
  • the second implementation form enables the beams constructed for each interval to equally cover the angular range for the beam codebook in order to minimize the outage probability.
  • the processor is configured to
  • the third implementation form enables the selected angles to cover the entire angular range and to minimize the outage probability of the beam scanning.
  • the processor is configured to
  • the fourth implementation form provides a beam computation strategy in which the main lobe of the beams samples the angular range such that with a high probability the beam codebook covers the entire angular range.
  • the processor is configured to
  • the fifth implementation form enables to formation of broad beams for each interval by quantizing each interval into a plurality of sub-intervals.
  • the computed beams comprises main lobes that are spanned over all sub-intervals which broadens the beam.
  • this implementation form can optimize and adapt the width of the beams for beam scanning codebooks. This reduces the outage probability since the computed beams emit the energy in a larger width.
  • the processor is configured to
  • each beam for an interval is a linear combination of the intermediate beams for the quantized sub-intervals of the interval.
  • the sixth implementation form provides a low complexity design for computing the broad beams in which intermediate beams that are potentially narrower are combined to generate a broader beam.
  • the quantization of each interval into a plurality of sub- intervals is a uniform quantization.
  • the seventh implementation form provides a uniform sampling of the cdf to provide a beam codebook that with high probability covers all angles.
  • an eight implementation form of a beam computing device according to any of the preceding implementation forms of the first aspect or to the first aspect as such, wherein the processor is configured to
  • the eight implementation form provides a means to update the beam codebook by acquiring the statistical information from the earlier beam scanning transmission.
  • the beam scanning remains updated based on the collected statistics from earlier beam scanning transmissions which enhances the transmission rates further.
  • the processor is configured to
  • the ninth implementation form by using the feedback from the receiver enables the collection of the statistical properties to update the beam codebook for beam scanning transmission.
  • the first beam scanning transmission is an initial beam scanning transmission, and wherein the transmitted beam in the initial beam scanning transmission is uniformly distributed over a predetermined transmission angular range.
  • the tenth implementation form ensures to minimize the outage probability at the absence of any prior statistical information by starting the beam scanning with a codebook where the initial uniform distribution is used.
  • the processor is configured to obtain the statistical property by
  • the eleventh implementation form ensures the flexibility in the design where the statistical information could be found and informed using another network node in the systems. This is particularly useful to reduce the interference and to increase the link budget.
  • a transmitting device for a Multiple-Input Multiple-Output, MIMO, communication system comprising a beam computing device according to any of the preceding claims.
  • the statistical property for the first transmission angle is a cumulative distribution function
  • the method comprises partitioning the cumulative distribution function into M number of intervals, wherein M is a positive integer larger than or equal to 1 ;
  • the method comprises
  • the statistical property may be any of: an angular range, a mean, a variance, and a probability density function, and a cumulative distribution function.
  • the method comprises
  • the method comprises
  • the method comprises
  • the method comprises
  • each beam for an interval is a linear combination of the intermediate beams for the quantized sub-intervals of the interval.
  • the quantization of each interval into a plurality of sub-intervals is a uniform quantization.
  • the method comprises
  • the method comprises
  • the first beam scanning transmission is an initial beam scanning transmission, and wherein the transmitted beam in the initial beam scanning transmission is uniformly distributed over a predetermined transmission angular range.
  • any method according to the third aspect is the same as those for the corresponding beam computing device according to the first aspect.
  • Embodiments of the invention also relates to a computer program, characterized in code means, which when run by processing means causes said processing means to execute any method according to the present invention. Further, the invention also relates to a computer program product comprising a computer readable medium and said mentioned computer program, wherein said computer program is included in the computer readable medium, and comprises of one or more from the group: ROM (Read-Only Memory), PROM (Programmable ROM), EPROM (Erasable PROM), Flash memory, EEPROM (Electrically EPROM) and hard disk drive.
  • ROM Read-Only Memory
  • PROM PROM
  • EPROM Erasable PROM
  • Flash memory Flash memory
  • EEPROM Electrically EPROM
  • Fig. 1 shows a beam computing device according to an embodiment of the invention.
  • Fig. 2 shows a flow chart of a method according to an embodiment of the invention.
  • Fig. 3 shows a transmitting device according to an embodiment of the invention.
  • Fig. 4 illustrates the interaction between a transmitting device and a receiving device according to an embodiment of the invention.
  • Fig. 5 shows a flow chart of an embodiment of the invention.
  • Fig. 6 illustrates cdf-partitioning
  • Fig. 7 shows a flow chart of an embodiment of the invention.
  • Fig. 8 illustrates signalling aspects according to embodiments of the invention.
  • Figs. 9 and 10 show examples of radiation patterns of the beams in the beam codebook according to embodiments of the invention.
  • Figs. 1 1 and 12 show performance results for embodiments of the invention.
  • Fig. 1 shows a beam computing device 100 according to an embodiment of the invention.
  • the beam computing device 100 comprises a processor 102 configured to obtain at least one statistical property for at least one first transmission angle associated with at least one transmitted beam.
  • the terminology "at least one" in this context has the same meaning as "one or more”.
  • the processor 102 is further configured to determine a second transmission angle based on the statistical property for the first transmission angle.
  • the processor 102 is further configured to compute a second beam for a second beam scanning transmission based on the second transmission angle.
  • Fig. 2 shows a corresponding method 200 which may be executed in a beam computing device 100, such as the one shown in Fig. 1 .
  • the method 200 comprises obtaining 202 a statistical property for a first transmission angle associated with a transmitted beam.
  • the method 200 further comprises determining 204 a second transmission angle based on the statistical property for the first transmission angle.
  • the method 200 further comprises computing 206 a second beam for a second beam scanning transmission based on the second transmission angle.
  • the beam computing device 100 may be a standalone device in an embodiment. However, the beam computing device 100 may in another embodiment be partially or fully integrated in another device.
  • Fig. 3 shows an embodiment in which the computing device 100 is partially or fully integrated in a transmitting device 300.
  • the transmitting device 300 comprises a beam computing device 100 according to embodiments of the invention.
  • the transmitting device 300 further comprises a transceiver 304 communicably coupled with the processor 102 of the beam computing device 100 with communication means 308.
  • the transmitting device 300 further comprises an antenna 306 coupled to the transceiver 304 for transmissions in a wireless communication system 500.
  • the transmitting device 300 may e.g. be or be part of a network node, such as a base station.
  • embodiments of the invention disclose a solution to construct codebooks corresponding to beams (i.e. beam codebooks) to be used for beam scanning in a wireless communication system 500.
  • the beam codebook is computed based on the statistical properties of the transmission angles e.g. used in one or more previous beam scanning transmissions.
  • the statistical properties of the transmission angles include any of mean, variance, pdf and cdf.
  • the mentioned statistical properties are used to find main lobes or the border of the main lobes for beam scanning and then to construct beams for further beam scanning transmissions. Note that for a number of statistical distributions, determining the variance and mean of the random variables (i.e. the beams in this case) gives a closed-form description of the cdf if the type of the cdf is already estimated. Cdf-fitting over the statistical data can used to find an appropriate cdf which to be used to determine the beam codebook.
  • the transmission angles are found using the inverse of the cdf of the angles, wherein the cdf is uniformly partitioned. The statistical properties can be found by operation of the transmitting device 300 with an initial base beam codebook.
  • the transmitted beams may in an embodiment have been transmitted in a first beam scanning transmission preceding the second beam scanning transmission.
  • the processor 102 of the beam computing device 100 is configured to obtain at least one feedback indicating channel state information associated with the transmitted beam in the first beam scanning transmission, and to obtain the statistical property based on the obtained feedback.
  • This embodiment provides an updating mechanism based on feedback received from at least one receiver of beam scanning transmissions.
  • the first beam scanning transmission is an initial beam scanning transmission.
  • the transmitted beam in the initial beam scanning transmission is uniformly distributed over a predetermined transmission angular range ⁇ p max - ⁇ p min .
  • the updating mechanism is based on the insight of using statistical properties of transmitted beams in beam scanning transmission to design and update the beam codebook for further beam scanning transmissions.
  • the statistical properties can be obtained by operation of the radio network during a time interval using an initial base beam codebook.
  • the optimal base beam codebook at the absence of any prior angular information is uniform in the angular domain to cover all angles in order to minimize the outage performance.
  • the network node 300 which comprises the present beam computing device 100 starts beam scanning transmissions 502 and receives feedback 504 from a user device 400 (or any other network node not shown in Fig. 4) to indicate the most suitable beam for data transmission.
  • the most suitable beam is the beam that e.g.
  • the network node 300 may be an access network node, or a base station, or an access point, or a remote radio head node, or a relay, etc.
  • Fig. 5 illustrates the updating mechanism in a flow chart according to an embodiment of the invention.
  • the network node 300 determines an initial beam codebook, e.g. the mentioned uniformly distributed codebook in the interval ( p max - ⁇ Pmin- ln ste P ") tne network node 300 transmits one or more beams from the initial beam codebook in beam scanning transmissions during a time period.
  • the network node 300 receives and records feedback associated with beams transmitted in step II).
  • the network node 300 determines the statistical properties of the beams transmitted in step II) based on the on records of the feedback received in step III).
  • the network node 300 updates the beam codebook based on the determined statistical properties in step IV).
  • the network node 300 transmits beams from the updated beam codebook during a new time period.
  • steps III) to VI) are repeated a number of times until the beam scanning procedure is ended.
  • the statistical property for the first transmission angle is the cdf F in some embodiments of the invention as aforementioned.
  • the processor 102 may be configured to partition the cdf F into M number of intervals, where M is a positive integer larger than or equal to 1 .
  • the processor 102 is further configured determine the second transmission angle based on the partitioned cdf F.
  • a beam codebook could be designed and updated using the cdf F as the statistical property for the transmission angles. Note that for a number of statistical distributions, determining the variance and mean of the random variables (beam angles in this case) gives a closed-form description of the cdf if the type of the cdf F is already estimated.
  • the beam computing device 100 estimates or receives the cdf of the transmission angles, denoted as F(» where ⁇ is transmission angle, at the mMIMO array using the initial beam codebook as explained above.
  • F(» transmission angle
  • ⁇ transmission angle
  • the partitioning of the angular range [(p min , (p max ] is performed in a way that the probability that the transmission angles belongs each sub-range, i.e., is almost the same where S t denotes the sector of the i th beam.
  • S t denotes the sector of the i th beam.
  • each beam is simply determined by a single transmission angle with results in narrow beams. We construct this angle by obtaining the mean angle (i.e. expected angle) of the beam sector given in equation (2).
  • Fig. 6 illustrates an example of cdf-partitioning with 6 intervals, which results in a codebook with 6 beams according to Equations (5).
  • M 6; i.e. six intervals are used to generate a beam codebook with 6 beams.
  • the main lobe of the beams herein is set to
  • Fig. 7 shows a flow chart for the beam construction according to this embodiment.
  • the beam computing device 100 receives statistical properties of the transmission angles and determines the cdf F.
  • the beam computing device 100 partitions the cdf into M intervals with almost equal probabilities, i.e. [d 0 , d 1 , d 2 , - , d M ] . Further, the number of beams may be set in step II) as indicated by step lib).
  • the beam computing device 100 finds the centre for each interval.
  • the beam computing device 100 finds the transmission angel for each interval based on the inverse cdf F _1 of for the centre for each interval.
  • the beam computing device 100 computes the beams for each interval having its main lobe at the found transmission angle.
  • Fig. 8 shows some signalling and processing aspects according to embodiments of the invention.
  • the transmitting device 300 initiates beam scanning by obtaining an initial beam codebook.
  • the transmitting device 300 transmits beams in the initial beam codebook to the receiving device 600 (such as a user device 400) during a time period. The time period may vary depending on communication scenario and the design.
  • the beams may be transmitted in the time, frequency and/or code domain.
  • the transmitting device 300 receives feedback from the receiving device 600.
  • the feedback may indicate the CQI for a subset of beams transmitted in S1.
  • the subset could e.g. comprise the strongest beams; i.e. the beams with highest CQI.
  • the transmitting device 300 derives statistical properties of the transmission angles in P2 using the collected feedback.
  • the transmitting device 300 further computes new beams for beam scanning based on the statistical properties.
  • the transmitting device 300 transmits beams computed in P2 to the receiving device 600 in beam scanning.
  • the transmitting device 300 receives feedback from the receiving device 600.
  • the transmitting device 300 again derives statistical properties of the transmission angles in P3.
  • the transmitting device 300 further computes new beams for beam scanning based on the statistical properties derived in P3.
  • the transmitting device 300 transmits updated beams computed in P3 to the receiving device 600 in beam scanning. This process of computing beams based on received feedback is repeated in the transmitting device 300 as long as the beam scanning process continues.
  • the knowledge of the beam codebook which is updated based on the statistical properties is not required at the receiving device 600, which increases the flexibility of the disclosed invention.
  • the transmitting device 300 may change the size of the beam codebook (i.e. number of beams), it may be beneficial to signal the size of the new beam codebook to the receiving device 600.
  • the beam codebooks [ ⁇ ⁇ ... , ⁇ ⁇ ⁇ is constructed for linear arrays according to
  • the solution can be easily extended to any type of arrays.
  • the statistical information of both azimuth and elevation angles can be used to design beam codebooks according to embodiments of the invention.
  • each beam sector S t is quantized by N q quantization points where N q is a design parameter.
  • N q is a design parameter.
  • the first method for sector quantization comprises of uniformly quantizing the sector S t as
  • the quantized angles in the sector S t are constructed by inverse mapping of the cdf as Hdi-x) , F- 1 (q + d i _ 1 ) , F- 1 (2q + d i _ 1 ) F "1 ⁇ ] (1 1 )
  • This second method allocates more radiation power to angles with higher likelihood inside sector s t . This will increase the average SNR.
  • the proposed solution can be directly generalized to more sophisticated combining methods that consider any combining method including arbitrary weighted average.
  • this embodiment be easily extended to any type of arrays including two-dimensional arrays such as rectangular and cylindrical arrays where the statistical information of both azimuth and elevation angles are used to design the beam codebook.
  • ⁇ p min and ⁇ p max denote the minimum and maximum angle, respectively.
  • k is a normalization factor given as
  • the beam codebook ⁇ i? ! , ⁇ , - , -d M ⁇ for Laplacian distribution is given by
  • Fig. 9 shows the present beam design when the transmission angles are distributed according to Laplacian distribution when there are 16 beams in the beam codebook.
  • Fig. 10 (a) shows the first quantization method with 16 beams.
  • Fig. 10 (b) shows the second quantization method with 16 beams.
  • Fig. 10 (c) shows first quantization method with 32 beams.
  • Fig. 10 (d) shows second quantization method with 32 beams.
  • Fig. 1 1 and 12 show the transmission rate that is achievable using the present solution in which the X-axis shows SNR in dB and the Y-axis shows the rate in bit/s/Hz.
  • the user device 400 is equipped with a single antenna.
  • the following three schemes are considered in Fig. 1 1 and 12:
  • Proposed solution the beams are constructed using the proposed algorithm in Fig. 5 for Laplacian distribution.
  • the closed-from expression for the beams is given in equation (19) for narrow beams and in equation (20) for broad beams.
  • Baseline scheme the beams are constructed by uniform quantization of angles between -60 and 60 degrees for two cases of narrow and broad beams.
  • the upper bound indicates the performance of the hypothetical transmission scheme with infinite number of beams.
  • the number of antennas is set to 64.
  • the upper bound indicates the performance of the hypothetical transmission scheme with infinite number of beams.
  • the number of antennas is set to 64.
  • the proposed beam design according to the actual distribution of transmission angles provides much better performance.
  • a higher transmission rate can be obtained.
  • the beam codebook based on the distribution results to a less number of beams, which reduces the overhead due to pilot and feedback transmission.
  • the gain can be observed for both narrow beams and broad beams. Broad beams in general perform better than narrow beams at the cost of higher complexity in beam generation.
  • a network node 300 described herein may also be denoted as an access node or an access point or a base station, e.g., a Radio Base Station (RBS), which in some networks may be referred to as transmitter, "eNB”, “eNodeB”, “NodeB”, “gNB” or “B node”, depending on the technology and terminology used.
  • the access network nodes may be of different classes such as, e.g., macro eNodeB, home eNodeB or pico base station, based on transmission power and thereby also cell size.
  • the access network node can be a Station (STA), which is any device that contains an IEEE 802.1 1 -conformant Media Access Control (MAC) and Physical Layer (PHY) interface to the Wireless Medium (WM).
  • STA Station
  • MAC Media Access Control
  • PHY Physical Layer
  • the access network node 300a, 300b may also be a network node in a wired communication system. Further, standards promulgated by the IEEE, the Internet Engineering Task Force (IETF), the International Telecommunications Union (ITU), the 3GPP standards, fifth-generation (5G) standards and so forth are supported.
  • the network node 400 may communicate information according to one or more IEEE 802 standards including IEEE 802.1 1 standards (e.g., 802.1 1 a, b, g/h, j, n, and variants) for WLANs and/or 802.16 standards (e.g., 802.16-2004, 802.16.2-2004, 802.16e, 802.16f, and variants) for WMANs, and/or 3GPP LTE standards.
  • the access network node 300a, 300b may communicate information according to one or more of the Digital Video Broadcasting Terrestrial (DVB-T) broadcasting standard and the High performance radio Local Area Network (HiperLAN) standard.
  • DVD-T Digital Video Broadcasting Terrestrial
  • a user device 400 described herein may be any of a User Equipment (UE), mobile station (MS), wireless terminal or mobile terminal which is enabled to communicate wirelessly in a wireless communication system, sometimes also referred to as a cellular radio system.
  • the UE may further be referred to as mobile telephones, cellular telephones, computer tablets or laptops with wireless capability.
  • the UEs in the present context may be, for example, portable, pocket-storable, hand-held, computer-comprised, or vehicle-mounted mobile devices, enabled to communicate voice or data, via the radio access network, with another entity, such as another receiver or a server.
  • the UE can be a Station (STA), which is any device that contains an IEEE 802.1 1 -conformant Media Access Control (MAC) and Physical Layer (PHY) interface to the Wireless Medium (WM).
  • STA Station
  • MAC Media Access Control
  • PHY Physical Layer
  • WM Wireless Medium
  • IETF Internet Engineering Task Force
  • ITU International Telecommunications Union
  • 5G fifth-generation
  • the receiving device 100 may communicate information according to one or more IEEE 802 standards including IEEE 802.1 1 standards (e.g., 802.1 1 a, b, g/h, j, n, and variants) for WLANs and/or 802.16 standards (e.g., 802.16-2004, 802.16.2-2004, 802.16e, 802.16f, and variants) for WMANs, and/or 3GPP LTE standards.
  • the receiving device 100 may communicate information according to one or more of the Digital Video Broadcasting Terrestrial (DVB-T) broadcasting standard and the High performance radio Local Area Network (HiperLAN) standard.
  • DVD-T Digital Video Broadcasting Terrestrial
  • HiperLAN High performance radio Local Area Network
  • any method according to the present invention may be implemented in a computer program, having code means, which when run by processing means causes the processing means to execute the steps of the method.
  • the computer program is included in a computer readable medium of a computer program product.
  • the computer readable medium may comprise of essentially any memory, such as a ROM (Read-Only Memory), a PROM (Programmable Read-Only Memory), an EPROM (Erasable PROM), a Flash memory, an EEPROM (Electrically Erasable PROM), or a hard disk drive.
  • the network node 300 or user device 400 comprises the necessary communication capabilities in the form of e.g., functions, means, units, elements, etc., for performing the present solution.
  • means, units, elements and functions are: processors, memory, buffers, control logic, encoders, decoders, rate matchers, de-rate matchers, mapping units, multipliers, decision units, selecting units, switches, interleavers, de-interleavers, modulators, demodulators, inputs, outputs, antennas, amplifiers, receiver units, transmitter units, DSPs, MSDs, TCM encoder, TCM decoder, power supply units, power feeders, communication interfaces, communication protocols, etc. which are suitably arranged together for performing the present solution.
  • the processor of the beam computing device 100 may comprise, e.g., one or more instances of a Central Processing Unit (CPU), a processing unit, a processing circuit, a processor, an Application Specific Integrated Circuit (ASIC), a microprocessor, or other processing logic that may interpret and execute instructions.
  • CPU Central Processing Unit
  • ASIC Application Specific Integrated Circuit
  • the expression "processor” may thus represent a processing circuitry comprising a plurality of processing circuits, such as, e.g., any, some or all of the ones mentioned above.
  • the processing circuitry may further perform data processing functions for inputting, outputting, and processing of data comprising data buffering and device control functions, such as call processing control, user interface control, or the like.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Radio Transmission System (AREA)

Abstract

La présente invention porte sur un dispositif de calcul de faisceau pour un balayage de faisceau (100) dans un système de communication sans fil (500). Le dispositif de calcul de faisceau (100) comprend un processeur (102) configuré pour : obtenir une propriété statistique pour un premier angle de transmission associé à un faisceau transmis; déterminer un second angle de transmission sur la base de la propriété statistique pour le premier angle de transmission; et calculer un second faisceau pour une seconde transmission de balayage de faisceau sur la base du second angle de transmission. La présente invention concerne également des procédés correspondants, un programme informatique et un produit de programme informatique.
PCT/EP2016/066601 2016-07-13 2016-07-13 Dispositif de calcul de faisceau, dispositif de transmission et procédés associés Ceased WO2018010778A1 (fr)

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CN112166562A (zh) * 2018-06-11 2021-01-01 三星电子株式会社 高级无线系统的终端特定的波束成形自适应的方法
CN114430585A (zh) * 2022-02-09 2022-05-03 维沃移动通信有限公司 一种波束扫描方法、装置和网络侧设备

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US20050287962A1 (en) * 2004-06-25 2005-12-29 Mehta Neelesh B RF-based antenna selection in MIMO systems
US20150326297A1 (en) * 2014-05-08 2015-11-12 Telefonaktiebolaget Lm Ericsson (Publ) Beam forming using an antenna arrangement
US20150333885A1 (en) * 2014-05-08 2015-11-19 Telefonaktiebolaget L M Ericsson (Publ) Beam Forming Using a Dual Polarized Antenna Arrangement

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US20050287962A1 (en) * 2004-06-25 2005-12-29 Mehta Neelesh B RF-based antenna selection in MIMO systems
US20150326297A1 (en) * 2014-05-08 2015-11-12 Telefonaktiebolaget Lm Ericsson (Publ) Beam forming using an antenna arrangement
US20150333885A1 (en) * 2014-05-08 2015-11-19 Telefonaktiebolaget L M Ericsson (Publ) Beam Forming Using a Dual Polarized Antenna Arrangement

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112166562A (zh) * 2018-06-11 2021-01-01 三星电子株式会社 高级无线系统的终端特定的波束成形自适应的方法
CN112166562B (zh) * 2018-06-11 2024-05-28 三星电子株式会社 高级无线系统的终端特定的波束成形自适应的方法
CN114430585A (zh) * 2022-02-09 2022-05-03 维沃移动通信有限公司 一种波束扫描方法、装置和网络侧设备

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