CN110401475A

CN110401475A - Downlink wave beam training method, the network equipment and terminal device

Info

Publication number: CN110401475A
Application number: CN201810381634.4A
Authority: CN
Inventors: 丁钰; 苏厉; 王昭诚; 庄宏成; 徐凯; 孙彦良
Original assignee: Tsinghua University; Huawei Technologies Co Ltd
Current assignee: Tsinghua University; Huawei Technologies Co Ltd
Priority date: 2018-04-25
Filing date: 2018-04-25
Publication date: 2019-11-01
Anticipated expiration: 2038-04-25
Also published as: CN110401475B; WO2019206157A1

Abstract

This application discloses a kind of downlink wave beam training method, the network equipment and terminal devices, are related to the communications field, for reducing the expense of wave beam training.A kind of downlink wave beam training method includes: that terminal device receives the detection wave beam from the network equipment, and the detection wave beam is modulated by antenna weight vector, and the antenna weight vector includes the random code book vector that fixed codebook vector sum generates at random；The terminal device constructs observing matrix according to the antenna weight vector；The terminal device carries out signal reconstruction by sparse vector of the observing matrix to beam search energy space, and solves wave beam to information according to the sparse vector, wherein the wave beam includes transmitting terminal beam information to information；The terminal device sends the transmitting terminal beam information to the network equipment.The embodiment of the present application is applied to wave beam training.

Description

Downlink wave beam training method, the network equipment and terminal device

Technical field

This application involves the communications field more particularly to a kind of downlink wave beam training methods, the network equipment and terminal device.

Background technique

5th generation newly eat dishes without rice or wine (5th generation new radio, 5G NR) technical support millimeter wave high band communication, Millimetre-wave attenuator such as has high transfer rate, high security, is easy to large-scale integrated, exempts to authorize frequency spectrum resource abundant excellent at the protrusion Point.But high band communication also brings high path loss, and in order to make up the high frequency points communication high path loss of bring, millimeter wave is logical Letter is oriented communication using aerial array and beamforming technique to improve channel gain.Due to receiving and dispatching the orientation of end equipment not Know, needs to complete directional beam alignment by wave beam training before communication.Wave beam training purpose be, give antenna weight to In the case of measuring (antenna weight vector, AWV), optimal beam pair is told from all wave beams pair, and it is logical to form orientation Believe link.

5G NR initial access phase will carry out wave beam management simultaneously to multiple users, and wave beam training expense is excessive, when scanning Between it is long, be initially accessed speed it is slow.Training in existing wave beam training technique, between the wave beam training user based on exhaustive search Process is mutually indepedent, can implement to synchronize training to multi-user, but the training expense of single user is excessive；Based on hierarchical feedback Search can reduce the training expense of single user, but the training between user is not independent, and under multi-user scene, training is opened Pin can increased dramatically with the growth of number of users.

Summary of the invention

The embodiment of the present application provides a kind of downlink wave beam training method, the network equipment and terminal device, for reducing wave beam Trained expense.

In a first aspect, providing a kind of downlink wave beam training method, set this method comprises: terminal device reception carrys out automatic network Standby detection wave beam, detection wave beam are modulated by antenna weight vector, and antenna weight vector includes that fixed codebook vector sum is given birth at random At random code book vector；Terminal device constructs observing matrix according to antenna weight vector；Terminal device passes through observing matrix pair The sparse vector of beam search energy space carries out signal reconstruction, and solves wave beam to information according to sparse vector, wherein wave beam It include transmitting terminal beam information to information；Terminal device sends above-mentioned transmitting terminal beam information to the network equipment.The application is implemented The downlink wave beam training method that example provides, the network equipment is sent to be weighed by the antenna for including fixed codebook vector sum random code book vector The detection wave beam of weight Vector Modulation, terminal device is according to antenna weight vector and multipath channel response model structure with randomness Observing matrix is built, the sparse restructing algorithm in compressive sensing theory is utilized, by observing matrix, the biggish wave beam of quantity is searched The problem that rope energy space carries out exhaustion becomes the Solve problems of the sparse vector of the energy space, therefore can reduce wave beam instruction Experienced expense.And transmission gain is improved compared with completely random codebook vectors by the introducing of fixed codebook vector, is mentioned The performance of high algorithm in low snr environments, enhances noise resisting ability.

In a kind of possible embodiment, observing matrix are as follows:Wherein, b_r,i=W_r(W_rW_r ^H)^- ¹u_r,i, b_t,i=W_t(W_tW_t ^H)^-1u_t,i, vec () indicates matrix becoming vector, W_rThe antenna of receiving end wave beam when for actual transmissions Weight vectors, W_tThe antenna weight vector of transmitting terminal wave beam when for actual transmissions,For i-th of receiving antenna weight vectors, u_t,i For i-th of transmitting antenna weight vectors, ()^HIndicate conjugate transposition, ()^-1Representing matrix is inverse.This embodiment offers observation squares A kind of solution mode of battle array.

In a kind of possible embodiment, wave beam includes optimal beam to information to information, and terminal device passes through observation square Battle array carries out signal reconstruction to the sparse vector of beam search energy space, and solves wave beam to information according to sparse vector, comprising: presses Accurate estimation is made to maximum value position χ in each component of the sparse vector q of observing matrix θ according to any one of following formula:Alternatively,Alternatively,Its In, θ_χIndicate the χ column of observing matrix θ, q=(θ^Hθ)^-1θ^HH,It indicates to take so that the calculated result of back formula is most Corresponding χ when small value,It indicates to take so that corresponding χ when the calculated result of back formula is maximum value, | | | |₂It indicates 2- norm, | | | | indicate modulus, | | | |²Indicate modulus square, h is that the multipath channel after vectorization responds element；Under It states formula and obtains optimal beam to information (k_opt,l_opt) are as follows: l_opt=χ/K_r, k_opt=χ-K_rl_opt, wherein K_rFor receiving end wave beam Number, l_optFor optimal transmitting terminal wave beam serial number, k_optFor optimal receiving end wave beam serial number.This embodiment offers optimal waves A kind of solution mode of beam pair.

In a kind of possible embodiment, wave beam further includes alternative wave beam to information, this method to information further include: eventually End equipment successively makes accurate estimation to maximum value position χ in nonzero value component remaining in q according to formula, obtains alternative wave Beam is to information (k_oth,l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othFor alternative receiving end wave beam serial number.The implementation Mode provides a kind of solution mode of alternative wave beam pair.

In a kind of possible embodiment, transmitting terminal beam information include the corresponding codebook vectors of transmitting terminal wave beam or Transmitting terminal wave beam serial number.This embodiment offers a kind of possible implementations of transmitting terminal beam information.

In a kind of possible embodiment, transmitting terminal beam information includes optimal transmitting terminal beam information and alternative transmission Hold beam information.This embodiment offers a kind of possible implementations of transmitting terminal beam information.

In a kind of possible embodiment, wave beam further includes receiving end beam information, this method to information further include: eventually End equipment is to network equipment transmitting and receiving terminal beam information.This embodiment offers the one kind of wave beam to information can the side of being able to achieve Formula.

Second aspect provides a kind of downlink wave beam training method, comprising: the network equipment sends detection wave beam, probing wave Beam is modulated by antenna weight vector, and antenna weight vector includes the random code book vector that fixed codebook vector sum generates at random, day Line weight vectors are used to carry out signal weight to the sparse vector of beam search energy space for constructing observing matrix, observing matrix Structure, for sparse vector for solving wave beam to information, wave beam includes transmitting terminal beam information to information；The network equipment is from terminal device Receive transmitting terminal beam information.Downlink wave beam training method provided by the embodiments of the present application, the network equipment are sent by including fixing The detection wave beam of the antenna weight vector of codebook vectors and random code book vector modulation, terminal device is according to the day with randomness Line weight vectors and multipath channel response model construct observing matrix, and the sparse restructing algorithm in compressive sensing theory is utilized, By observing matrix, by the problem that the biggish beam search energy space of quantity carries out exhaustion become the energy space it is sparse to The Solve problems of amount, therefore the expense of wave beam training can be reduced.And the introducing for passing through fixed codebook vector, with completely random Codebook vectors are compared, and transmission gain is improved, and are improved the performance of algorithm in low snr environments, are enhanced noise resisting ability.

In a kind of possible embodiment, observing matrix are as follows:Wherein, b_r,i=W_r(W_rW_r ^H)^- ¹u_r,i, b_t,_i=W_t(W_tW_t ^H)^-1u_t,i, vec () indicates matrix becoming vector, W_rThe antenna of receiving end wave beam when for actual transmissions Weight vectors, W_tThe antenna weight vector of transmitting terminal wave beam when for actual transmissions,For i-th of receiving antenna weight vectors, u_t,iFor i-th of transmitting antenna weight vectors, ()^HIndicate conjugate transposition, ()^-1Representing matrix is inverse.This embodiment offers sights Survey a kind of solution mode of matrix.

In a kind of possible embodiment, wave beam includes optimal beam to information (k to information_opt,l_opt): l_opt=χ/ K_r, k_opt=χ-K_rl_opt, wherein K_rFor the number of receiving end wave beam, l_optFor optimal transmitting terminal wave beam serial number, k_optIt is connect to be optimal Receiving end wave beam serial number, χ are maximum value position in each component of the sparse vector q of observing matrix θ；χ is according to the following equation Any one of make accurate estimation and obtain:Alternatively, Alternatively,Wherein, θ_χIndicate the χ column of observing matrix θ, q=(θ^Hθ)^-1θ^HH,Expression, which takes, to be made The calculated result for obtaining formula below corresponding χ when being minimum value,It indicates to take so that the calculated result of back formula is most Corresponding χ when big value, | | | |₂Indicate 2- norm, | | | | indicate modulus, | | | |²Indicate modulus square, h is after vectorization Multipath channel responds element.This embodiment offers a kind of solution modes of optimal beam pair.

In a kind of possible embodiment, wave beam further includes alternative wave beam to information (k to information_oth,l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othFor alternative receiving end wave beam serial number, alternative wave beam is to information (k_oth,l_oth) be according to Above-mentioned formula is successively made accurate estimation to maximum value position χ in nonzero value component remaining in q and is obtained.The embodiment mentions A kind of solution mode of alternative wave beam pair is supplied.

In a kind of possible embodiment, wave beam further includes receiving end beam information, method to information further include: network Equipment receives above-mentioned receiving end beam information from terminal device.This embodiment offers the one kind of wave beam to information to be able to achieve Mode.

The third aspect provides a kind of terminal device, comprising: receiving unit, for receiving the detection from the network equipment Wave beam, detection wave beam modulated by antenna weight vector, antenna weight vector include fixed codebook vector sum generate at random it is random Codebook vectors；Construction unit constructs observing matrix for the received antenna weight vector of receiving unit；Unit is solved, structure is used for The observing matrix for building building unit carries out signal reconstruction to the sparse vector of beam search energy space, and is asked according to sparse vector Wave beam is solved to information, wherein wave beam includes transmitting terminal beam information to information；Transmission unit, for being asked to network equipment transmission Solve the transmitting terminal beam information that unit solves.Based on the same inventive concept, the principle that is solved the problems, such as due to the terminal device and Beneficial effect may refer to beneficial effect brought by the various possible embodiments of above-mentioned first aspect and first aspect, therefore The implementation of the terminal device may refer to the various possible embodiments of above-mentioned first aspect and first aspect, repeat place no longer It repeats.

Fourth aspect provides a kind of network equipment, comprising: the network equipment sends detection wave beam, detects wave beam by antenna Weight vectors modulation, antenna weight vector includes the random code book vector that fixed codebook vector sum generates at random, antenna weight to For constructing observing matrix, observing matrix is used to carry out signal reconstruction to the sparse vector of beam search energy space amount, sparse For vector for solving wave beam to information, wave beam includes transmitting terminal beam information to information；The network equipment is received from terminal device and is sent out Sending end beam information.Based on the same inventive concept, the principle and beneficial effect solved the problems, such as due to the network equipment can join See beneficial effect brought by the various possible embodiments of above-mentioned second aspect and second aspect, therefore the reality of the network equipment The various possible embodiments that may refer to above-mentioned second aspect and second aspect are applied, overlaps will not be repeated.

5th aspect, provides a kind of communication system, including the terminal device as described in the third aspect and such as four directions The network equipment described in face.

6th aspect, the embodiment of the present application provide a kind of terminal device, comprising: processor and memory, memory are used for Program is stored, processor calls the program of memory storage, to execute the described in any item methods of above-mentioned first aspect.

7th aspect, the embodiment of the present application provide a kind of storage medium, are stored thereon with computer program, computer program Above-mentioned first aspect described in any item methods are realized when being executed by processor.

Eighth aspect, the embodiment of the present application provide a kind of chip system, comprising: processor, for supporting that terminal device is real The existing above-mentioned described in any item methods of first aspect.

9th aspect, the embodiment of the present application provide a kind of network equipment, comprising: processor and memory, memory are used for Program is stored, processor calls the program of memory storage, to execute the described in any item methods of above-mentioned second aspect.

Tenth aspect, the embodiment of the present application provide a kind of storage medium, are stored thereon with computer program, computer program Above-mentioned second aspect described in any item methods are realized when being executed by processor.

Tenth on the one hand, and the embodiment of the present application provides a kind of chip system, comprising: processor, for supporting the network equipment Realize the described in any item methods of above-mentioned second aspect.

The technical effect of 5th aspect to the tenth one side is referred to content described in first aspect and second aspect.

Detailed description of the invention

Fig. 1 is a kind of configuration diagram of communication system provided by the embodiments of the present application；

Fig. 2 is a kind of structural schematic diagram one of terminal device provided by the embodiments of the present application；

Fig. 3 is a kind of structural schematic diagram one of the network equipment provided by the embodiments of the present application；

Fig. 4 is a kind of flow diagram of downlink wave beam training method provided by the embodiments of the present application；

Fig. 5 is the corresponding detection of random code book vector that 3 kinds of Bernoulli Jacob's random sequences provided by the embodiments of the present application generate The schematic diagram of wave beam；

Fig. 6 is the Energy distribution schematic diagram of search space E provided by the embodiments of the present application；

Fig. 7 is the emulation schematic diagram of the ratio of different schemes lower channel capacity provided by the embodiments of the present application and ideal value；

Fig. 8 is the emulation schematic diagram of cell scenario provided by the embodiments of the present application；

Fig. 9 is a kind of structural schematic diagram two of terminal device provided by the embodiments of the present application；

Figure 10 is a kind of structural schematic diagram three of terminal device provided by the embodiments of the present application；

Figure 11 is a kind of structural schematic diagram four of terminal device provided by the embodiments of the present application；

Figure 12 is a kind of structural schematic diagram two of the network equipment provided by the embodiments of the present application；

Figure 13 is a kind of structural schematic diagram three of the network equipment provided by the embodiments of the present application；

Figure 14 is a kind of structural schematic diagram four of the network equipment provided by the embodiments of the present application.

Specific embodiment

The network architecture and business scenario of the embodiment of the present application description are to more clearly illustrate that the application is implemented The technical solution of example, does not constitute the restriction for technical solution provided by the embodiments of the present application, those of ordinary skill in the art It is found that technical solution provided by the embodiments of the present application is for similar with the differentiation of the network architecture and the appearance of new business scene The technical issues of, it is equally applicable.

The embodiment of the present application both can be applied to the scene of time division duplex (time division duplexing, TDD), It is readily applicable to the scene of frequency division duplex (frequency division duplexing, FDD).Technology provided by the present application Scheme can be adapted in 5G NR system.

It should be noted that although the embodiment of the present application relies on the scene of 5G NR network in cordless communication network to be said It is bright, it is noted that the scheme in the embodiment of the present application can also be applied in other cordless communication networks, corresponding title It can also be substituted with the title of the corresponding function in other cordless communication networks.

The embodiment of the present application provides a kind of communication system, referring to fig. 1, including at least one terminal (terminal) equipment 11 and the network equipment 12.

Optionally, terminal device 11 involved in the embodiment of the present application may include various with wireless communication function Handheld device, mobile unit, wearable device, calculate equipment or be connected to other processing equipments of radio modem； It can also include subscriber unit (subscriber unit), cellular phone (cellular phone), smart phone (smart Phone), wireless data card, personal digital assistant (personal digital assistant, PDA) computer, plate electricity It is brain, radio modem (modem), handheld device (handheld), laptop computer (laptop computer), wireless Phone (cordless phone) or wireless local loop (wireless local loop, WLL) platform, machine type communication (machine type communication, MTC) terminal, user equipment (user equipment, UE), mobile station (mobile station, MS), terminal device (terminal device) or trunk subscriber equipment etc..Wherein, trunk subscriber Equipment for example can be 5G home gateway (residential gateway, RG).It is mentioned above in the application for convenience of description Equipment be referred to as terminal device.

By taking terminal device 11 is mobile phone as an example, the common hardware framework of mobile phone is illustrated.As shown in Fig. 2, mobile phone can To include: radio frequency (radio frequency, RF) circuit 110, memory 120, other input equipments 130, display screen 140, pass The components such as sensor 150, voicefrequency circuit 160, I/O subsystem 170, processor 180 and power supply 190.Those skilled in the art can To understand, the structure of mobile phone shown in figure does not constitute the restriction to mobile phone, may include more or less than illustrating Component perhaps combines certain components and perhaps splits certain components or different component layouts.Those skilled in the art can be with Understand that display screen 140 belongs to user interface (user interface, UI), display screen 140 may include display panel 141 and touching Touch panel 142.Although being not shown, mobile phone can also include functional modules or the devices such as camera, bluetooth module, no longer go to live in the household of one's in-laws on getting married herein It states.

Further, processor 180 respectively with RF circuit 110, memory 120, voicefrequency circuit 160, I/O subsystem 170, And power supply 190 connects.I/O subsystem 170 is connect with other input equipments 130, display screen 140, sensor 150 respectively.Its In, RF circuit 110 can be used for receive and send messages or communication process in signal is sended and received, particularly, receive come from base After the downlink information stood, it is sent to the processing of processor 180.Memory 120 can be used for storing software program and module.Processor 180 are stored in the software program and module of memory 120 by operation, thereby executing the various function application and number of mobile phone According to processing, such as execute the method and function of terminal device in the embodiment of the present application.Other input equipments 130 can be used for receiving defeated The number or character information entered, and generate keyboard signal input related with the user setting of mobile phone and function control.It is aobvious Display screen 140 can be used for showing information input by user or is supplied to the information of user and the various menus of mobile phone, can be with Receive user's input.Sensor 150 can be optical sensor, motion sensor or other sensors.Voicefrequency circuit 160 can mention For the audio interface between user and mobile phone.I/O subsystem 170 is used to control the external equipment of input and output, and external equipment can To include other equipment input controller, sensor controller, display controller.Processor 180 is in the control of mobile phone 200 The heart is stored in memory 120 using the various pieces of various interfaces and connection whole mobile phone by running or executing Software program and/or module, and the data being stored in memory 120 are called, execute the various functions and processing of mobile phone 200 Data, to carry out integral monitoring to mobile phone.Power supply 190 (such as battery) is used to power to above-mentioned all parts, it is preferred that electricity Source can be logically contiguous by power-supply management system and processor 180, to realize management charging by power-supply management system, put The functions such as electricity and power consumption.

Optionally, the network equipment 12 involved in the embodiment of the present application can be base station, to the common hardware of base station Framework is illustrated.As shown in figure 3, base station 12 may include indoor baseband processing unit (building baseband unit, BBU) 1201 and far-end RF module (remote radio unit, RRU) 1202, RRU 1202 and antenna-feeder system (i.e. antenna) 1203 connections, BBU 1201 and RRU 1202 can according to need and dismantle use.Antenna 1203 can be aerial array, including more The signal processing in antenna domain can be converted to Beam Domain signal by code book by a sub-antenna, that is, array element, base station, and to these The deflection of array element is controlled, and base station can control a part of array element and be modulated using fixed codebook in the application, another part It is modulated using random code book.Base station may include various forms of base stations, such as: macro base station, micro-base station (also referred to as small station), in After station, access point etc..Base station can execute the method and function of the network equipment in the embodiment of the present application.

After the embodiment of the present application can be applied to the training of wave beam when 5G NR network initially quickly accesses and beam failure Fast quick-recovery.When initial access, quickly accessing for equipment is realized in the fast beam training of the embodiment of the present application；When due to antenna position Set, the movement of angle, barrier block etc. when reasons cause link down beam failure, can also be using the fast of the embodiment of the present application The fast quick-recovery of wave beam is realized in fast wave beam training.Meanwhile the embodiment of the present application can obtain simultaneously including the more of optimal beam pair Group wave beam pair can be used as transmission beam pair according to maximum one group of base station policy selection SNR, other alternately wave beams pair.

The embodiment of the present application provides a kind of wave beam training method, is applied to above system, referring to fig. 4, the party Method includes:

S101, the network equipment send detection wave beam.

Detection wave beam modulated by antenna weight vector, in antenna weight vector include fixed codebook vector sum random code book to Amount.

For example, it is assumed that an antenna weight vector of detection wave beam isWherein s1 is fixed codebook vector, r1 For random code book vector, the antenna domain signal to send detection wave beam is X=[x1 x2], then the network equipment is finally to eating dishes without rice or wine Send the Beam Domain signal of detection wave beam are as follows:That is Y is to pass through Transmission signal after wave beam forming (antenna modulation).

It is directive excipient wave beam by the modulated radiofrequency signal of code book.The number and array element number of codebook vectors It is identical, for example, if there is 4 fixed codebook vectors then need 4 array elements to send fixed codebook vector, if there is 8 random codes This vector then needs 8 array elements to send random code book vector.

For the ratio of fixed codebook vector and random code book number of vectors, if finding the number of fixed codebook too in emulation Few, then antenna weight vector can not show directionality；If the number of fixed codebook is too many, the randomness of code book is affected, is led Cause last signal reconstruction ineffective.Therefore the number of fixed codebook vector is adjusted by specific communication environment.For example, if Sending and receiving end number of antennas is 16, and selecting in random code book vector and fixed codebook vector codebook number purpose ratio is 1:1, and preceding 8 Root antenna send be directed toward 90 ° of directions fixed codebook vector detection wave beam, fixed codebook vector be [1, -1,1, -1,1, -1, 1, -1], rear 8 antennas send the detection wave beam of random code book vector, and random code book vector is generated by Bernoulli Jacob's random sequence.

Fixed codebook vector sum random code book vector is described in detail below:

For fixed codebook vector:

The main lobe direction of fixed codebook vector chooses the center position of the network equipment (such as base station) coverage area as far as possible； If being not enough to cover the entire coverage area of whole network equipment, multiple fixations with different coverage directions can be designed Codebook vectors, timesharing divides direction to carry out wave beam training by the way of scanning.

Optionally, the array element for emitting fixed codebook can choose continuous N number of array element, and the position in entire antenna can To be the continuous N number of array element for starting or ending up, it is also possible to continuous N number of array element of intermediate any position.

Fixed codebook vector can using such as Discrete Fourier Transform (discrete fourier transform, DFT), the fixed codebooks design method such as Floor, Beam, can also be using other design methods.With the design of DFT fixed codebook It is illustrated for method:

Wherein, M is the array element number using fixed codebook, u_m-1For U m arrange fixed codebook vector, m=0, 1 ..., M-1,

For random code book vector:

In aerial array other than a part of array element can be using fixed codebook vector, remaining array element can be using random Codebook vectors.Random code book vector can be there are many mode when generating, such as Bernoulli Jacob's random code book, [1, -1,0] multivalue are random Code book etc..The corresponding detection wave beam of random code book vector generated shown in Fig. 5 for 3 kinds of Bernoulli Jacob's random sequences.In Fig. 5 (a) corresponding random code book vector is [1,1,1, -1, -1,1, -1,1], in Fig. 5 (b) corresponding random code book vector be [- 1, 1, -1,1, -1,1, -1, -1], (c) corresponding random code book vector is [1, -1,1,1, -1, -1, -1,1] in Fig. 5.

S102, terminal device receive the detection wave beam from the network equipment, construct observing matrix according to antenna weight vector θ。

Assuming that φ_tlFor the transmission angle of used physical transmission channel, φ_rlFor the angle of arrival of used physical transmission channel, M is transmitting terminal day Line number mesh, N are receiving end number of antennas, and L is the number of multipath channel, λ_lFor channel coefficients, ()^HFor conjugate transposition symbol, g_l To receive position vector, p_lTo send position vector.The then multipath channel propagation model of millimeter wave are as follows:

Wherein,It is the simplification to H, g_lAnd p_lIt is respectively as follows:

During training detects wave beam, the transmitting terminal transmission antenna domain signal of the network equipment is as training pilot tone to auxiliary Training is helped, training pilot tone forms x=[x by the sequence of energy normalized₁,x₂,...,x_M]^T, M is transmitting terminal number of antennas.According to Multipath channel response model, i-th of pilot frequency sequence x_iReception symbol y_iIt can indicate are as follows:

Wherein, u_t,iFor i-th of pilot frequency sequence x_iTransmission antenna weight vectors, u_r,iFor i-th of pilot frequency sequence x_iReception Antenna weight vector, M are transmitting terminal number of antennas, and γ is transmission signal SNR, n_iFor additive white Gaussian noise.It needs to illustrate It is that power consumption is excessive if being received using omnidirectional antenna and effect is poor for terminal device, therefore the reception of terminal device Antenna also has directionality, and receiving direction is by receiving antenna weight vectors u_r,iIt determines.

The multipath channel of the l paths of i-th of pilot tone responds element h in multipath channel response model_i(l) (i.e. formula (4) x in_iPreceding coefficient) it can be described as:

If emitting i-th of pilot frequency sequence x_iWhen, the receiving antenna weight vectors of k-th of reception wave beam are u_r,i, first of hair The transmission antenna weight vectors for sending wave beam are u_t,i, receiving end number of antennas is N, then the SNR of the receiving end of terminal device can be with table It is shown as formula (6):

The target of wave beam training is from all possible wave beam to finding out the channel SNR highest for meeting formula (6) in information Wave beam to information (k_opt,l_opt), wherein k_optMost for terminal equipment side in beam search space E (such as shown in Fig. 6) Excellent receiving end wave beam serial number, l_optFor the optimal transmitting terminal wave beam serial number of network equipment side in beam search space E.That is:

(k_opt,l_opt)=argmaxSNR (k, l) (7)

Find out from formula (6), SNR h_i(l) mean value of square, the bigger reality of SNR are h bigger.

If being M to transmitting terminal number of antennas, receiving end number of antennas is that the beam search space of N takes exhaustive mode to search Rope optimal beam pair, then its expense is ξ=MN.According to compressive sensing theory core concept, there can be randomness by above-mentioned Antenna weight vector construct observing matrix, exhaustive search problem in beam search space E is become dilute by the observing matrix Dredge the Solve problems of vector q.Specifically, observing matrix θ can be constructed by formula (8)-(10).

Firstly, beam search space E is found for convenience, definition vector e_rAnd e_t:

Wherein, W_rThe antenna weight vector of receiving end wave beam, W when for actual transmissions_tTransmitting terminal wave beam when for actual transmissions Antenna weight vector,For channel gain coefficient, γ is transmission signal SNR, and N is receiving end number of antennas, λ_lIt is The channel coefficients of l transmission wave beam.W_rAnd W_tThe network equipment and terminal device are had been stored in front of carrying out wave beam training.Then basis Least-squares estimation (least square, LS), can obtain:

()^-1Representing matrix is inverse.Then formula (9) is brought into formula (5), can obtains in multipath channel response model and leads for i-th The multipath channel in all paths (unrelated with l) of frequency responds element are as follows:

Formula (10) is indicated to obtain with vectorization:

Then θ is the observing matrix of constructionIts i-th behaviorWherein, g is to receive orientation Vector, p are to send position vector,For i-th of receiving antenna weight vectors, u_tiFor i-th of transmitting antenna weight vectors, b_r,i =W_r(W_rW_r ^H)^-1u_r,i, b_t,i=W_t(W_tW_t ^H)^-1u_t,i, E is the beam search energy space of exhaustion, and vec () expression becomes matrix At vector, q=vec (E).

In expression formula, q is the vector that millimeter wave beam search energy space E is constituted and has significant sparsity.Q's is every A nonzero element represents one group of available wave beam pair, is linear relationship according to formula (11) q and h, and according to formula (6) SNR Bigger h is bigger, so q value size represents, SNR channel gain of the wave beam under is strong and weak, and the maximum position of value is pair in q Answer optimal beam to information (k_opt,l_opt), the position of other nonzero values corresponds to other available alternative wave beams to information in q (k_oth,l_oth)。

S103, terminal device carry out signal reconstruction by sparse vector q of the observing matrix to beam search energy space E, And wave beam is solved to information according to sparse vector q.

After terminal device obtains observing matrix, the sparse restructing algorithm such as match tracing of compressed sensing principle can use (matching pursuit, MP), orthogonal matching pursuit (orthogonal matching pursuit, OMP), base tracking (basis pursuit, BP), noise reduction base track (basis pursuit de-noising, BPD) etc., solve the most sparse of q Solution, such as follows to information approach using matching pursuit algorithm solution optimal beam:

Formula (11) is estimated according to least-squares estimation, the sparse vector q of observing matrix θ can be obtained:

Q=(θ^Hθ)^-1θ^Hh (12)

Wherein, h is that multipath channel responds element.

Since vector q is a sparse vector, matrix θ has significant randomness again, according to compressive sensing theory, Wo Menke To be made any one of according to the following equation with least squares error to maximum value position χ in each component of sparse vector q Accurate estimation:

Alternatively,

Wherein, θ_χIndicate the χ column of observing matrix θ, q=(θ^Hθ)^-1θ^HH,Expression takes the meter so that back formula Corresponding χ when result is minimum value is calculated,It indicates to take so that corresponding χ when the calculated result of back formula is maximum value, || ||₂Indicate 2- norm, | | | | indicate modulus, | | | |²Indicate modulus square, h is the multipath channel response element after vectorization Element.

Therefore optimal beam is obtained to information (k_opt,l_opt):

Wherein, K_rFor the number of receiving end wave beam, l_optFor optimal transmitting terminal wave beam serial number, k_optFor optimal receiving end wave beam Serial number.

Optimal beam is being obtained to information (k_opt,l_opt) after, terminal device can according to formula (13) to formula (16), according to It is secondary that accurate estimation is made to maximum value position χ in nonzero value component remaining in q, alternative wave beam is obtained to information (k_oth, l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othFor alternative receiving end wave beam serial number.

S104, terminal device send above-mentioned transmitting terminal beam information to the network equipment.

The network equipment as transmitting terminal, can be only concerned local terminal by which transmitting terminal wave beam come with terminal equipment in communication, So terminal device only can feed back transmitting terminal beam information to the network equipment.Optionally, transmitting terminal beam information may include The corresponding codebook vectors of transmitting terminal wave beam or transmitting terminal wave beam serial number.Transmitting terminal beam information can also include transmitting terminal wave beam Link channel amplitude information.

Optionally, transmitting terminal beam information may include optimal transmitting terminal beam information, therefore optimal transmitting terminal wave beam is believed Breath may include the corresponding codebook vectors of optimal transmitting terminal wave beam or optimal transmitting terminal wave beam serial number l_opt.Transmitting terminal wave beam letter Breath can also include alternative transmitting terminal beam information, therefore alternative transmitting terminal beam information may include alternative transmitting terminal wave beam pair The codebook vectors answered or alternative transmitting terminal wave beam serial number l_oth。

Optionally, terminal device can also be to network equipment transmitting and receiving terminal beam information, and receiving end beam information can be with Including the corresponding codebook vectors of receiving end wave beam or receiving end wave beam serial number.Receiving end beam information and transmitting terminal beam information Wave beam can be collectively referred to as to information.

Optionally, receiving end beam information may include optimal receiving end beam information, therefore optimal receiving end wave beam is believed Breath may include the corresponding codebook vectors of optimal receiving end wave beam or optimal receiving end wave beam serial number k_opt.Receiving end wave beam letter Breath can also include alternative receiving end beam information, therefore alternative receiving end beam information may include alternative receiving end wave beam pair The codebook vectors answered or alternative receiving end wave beam serial number l_oth。

That is, terminal device can also send optimal beam to information to the network equipment.Optimal beam can to information To include serial number (k of the optimal beam to corresponding codebook vectors or optimal beam pair_opt,l_opt).Terminal device can also be to The network equipment sends alternative wave beam to information, alternative wave beam may include alternative wave beam to corresponding codebook vectors to information or Serial number (the k of alternative wave beam pair_oth,l_oth).So that terminal device and the network equipment by optimal beam in communication process due to When the factors such as blocking causes signal to be deteriorated, alternative wave beam pair can be switched to.

S105, the network equipment and terminal device are using wave beam to communicating.

Both sides can choose optimal beam to (k according to strategy_opt,l_opt) it is used as actual transmission beam pair, it can also select Alternative wave beam is selected to as actual transmission beam pair.

Downlink wave beam training method provided by the embodiments of the present application, the network equipment send by include fixed codebook vector sum with Machine codebook vectors antenna weight vector modulation detection wave beam, terminal device according to have randomness antenna weight vector with Multipath channel response model constructs observing matrix, and the sparse restructing algorithm in compressive sensing theory is utilized, by observing matrix, The problem that the biggish beam search energy space of quantity carries out exhaustion is become to the Solve problems of the sparse vector of the energy space, Therefore the expense of wave beam training can be reduced.And the introducing for passing through fixed codebook vector, compared with completely random codebook vectors, Transmission gain is improved, the performance of algorithm in low snr environments is improved, enhances noise resisting ability.

Simulation result

Shown in Fig. 6, if using regular linear array (uniform linear array, ULA) antenna, sending and receiving end day Line array element number is 16, and sending and receiving end wave beam number is 32, and when fixed codebook is DFT code book, each wave beam is to receiving end SNR feelings Condition distribution map is equivalent to the energy profile of the search space E in formula (11).It can be seen that the energy of search space more collects In, there is very strong sparsity.The target of wave beam training is to find out each wave beam situation optimal to SNR in the channel of formation, Optimal beam under this figure field scape is to for (23,3).

If using ULA antenna array, array element spacing λ/2, radio-frequency carrier 28GHz, receiving end antenna N=8, transmitting terminal antenna M=64.The DFT code book that the fixed codebook of the directional transmissions of sending and receiving end is 90 ° of main lobe direction, such as [1, -1,1, -1 ...], with Machine code book is generated by Bernoulli Jacob's random sequence.Multipath channel includes 1 direct projection diameter and 4 reflection diameters.Sparse restructing algorithm uses Orthogonal matching pursuit.Emulation has chosen fixed codebook number and is emulated for the case where main aerial number 1/2 and 1/4, fixed code This position selects preceding 1/2 or 1/4 antenna, believes with channel noiseless, using the communication of optimal beam pair when exhaustive search Road capacity is the theoretical upper limit.Simulation result is as shown in Figure 7: it can be seen that the compressed sensing of the application in high snr cases Scheme can the basic approximation capability upper limit, only about 2-3% performance loss.The performance of the scheme of the application is in low transmission signal There is great promotion compared with using the compressed sensing scheme of completely random under SNR, enhances the noise resisting ability of wave beam training.

As shown in figure 8, setting the transmission SNR=10dB at the 100m of base station, abscissa is cell for the emulation of cell scenario The maximum distance of user distance base station.It can be seen that coverage area is in 800m or so, the property of compressed sensing training program The 90% of exhaustive search can be reached.

The training expense of exhaustive search are as follows: ξ=MN, the expense of application scheme are as follows: ξ=α (log₂(MN)), α is experience Coefficient, simulation result show generally desirable 2.5-3.The comparison of both expense is as shown in table 1, empirical coefficient α=3 in this table, Therefrom find out, application scheme can greatly reduce the expense of wave beam training, and with the increase of sending and receiving end number of antennas, expense Advantage is just more obvious.

Table 1

MN	64*8	128*8	128*16	128*32	256*32
						This programme	27	30	33	36	39
Exhaustive search	512	1024	2048	4096	8192
						Ratio	5.2%	2.9%	1.6%	0.88%	0.11%

The application provides a kind of terminal device, for executing the above method.The embodiment of the present application can be according to the above method Example carries out the division of functional module to terminal device, can also be with for example, each functional module of each function division can be corresponded to Two or more functions are integrated in a processing module.Above-mentioned integrated module both can take the form of hardware It realizes, can also be realized in the form of software function module.It should be noted that being signal to the division of module in the application Property, only a kind of logical function partition, there may be another division manner in actual implementation.

In the case where each function division of use correspondence each functional module, Fig. 9 shows involved in above-described embodiment And terminal device a kind of possible structural schematic diagram, terminal device 11 include: receiving unit 1111, construction unit 1112, Solve unit 1113, transmission unit 1114.Above-mentioned each unit is for supporting terminal device to execute the correlation in Fig. 4 in either figure Method.Terminal device provided by the present application is for executing corresponding method presented above, therefore, corresponding feature and institute Attainable beneficial effect can refer to the beneficial effect in corresponding method presented above, and details are not described herein again.

Illustratively, the process S102 that receiving unit 1111 is used to that terminal device 11 to be supported to execute in Fig. 4；Construction unit 1112 for supporting terminal device 11 to execute the process S102 in Fig. 4；Unit 1113 is solved for supporting terminal device 11 to execute Process S103 in Fig. 4；The process S104 that transmission unit 1114 is used to that terminal device 11 to be supported to execute in Fig. 4.Wherein, above-mentioned side All related contents for each step that method embodiment is related to can quote the function description of corresponding function module, herein no longer It repeats.

Using integrated unit, Figure 10 shows one kind of terminal device involved in above-described embodiment Possible structural schematic diagram.Terminal device 11 includes: memory module 1121, processing module 1122, communication module 1123.It is above-mentioned each Module is for supporting terminal device to execute the correlation technique in Fig. 4 in either figure.Terminal device provided by the present application is for holding Row corresponding method presented above, therefore, the attainable beneficial effect of corresponding feature and institute can refer to be mentioned above The beneficial effect in corresponding method supplied, details are not described herein again.

Specifically, processing module 1122 is for carrying out control management to the movement of terminal device 11.Communication module 1123 is used The function of above-mentioned receiving unit 1111, transmission unit 1112 is executed in support terminal device 11.Memory module 1121 is for storing The program code and data of terminal device.

Wherein, processing module 1122 can be processor or controller, such as can be central processing unit (central Processing unit, CPU), general processor, digital signal processor (digital signal processor, DSP), Specific integrated circuit (application-specific integrated circuit, ASIC), field programmable gate array It is (field programmable gate array, FPGA) or other programmable logic device, transistor logic, hard Part component or any combination thereof.It may be implemented or execute to combine and various illustratively patrol described in present disclosure Collect box, module and circuit.The processor is also possible to realize the combination of computing function, such as includes one or more micro- places Manage device combination, DSP and the combination of microprocessor etc..Communication module 1123 can be transceiver, transmission circuit, bluetooth, network Interface or communication interface etc..Memory module 1121 can be memory.

Specifically, processing module 1122 can be the processor 180 in Fig. 2, communication module 1123 can be the RF in Fig. 2 Circuit 110, memory module 1121 can be the memory 120 in Fig. 2.

When processing module 1122 is processor, communication module 1123 is RF circuit, when memory module 1121 is memory, this Terminal device involved in applying can be terminal device 11 shown in Figure 11.

Refering to fig. 1 shown in 1, which includes: one or more processors 1132, RF circuit 1133, memory 1131, bus system 1134, and one or more programs.Wherein, RF circuit 1133, processor 1132, memory 1131 are logical Cross the interconnection of bus system 1134；Bus system 1134 can be Peripheral Component Interconnect STD bus or extension industrial standard knot Structure bus etc..The bus can be divided into address bus, data/address bus, control bus etc..For convenient for indicating, only with one in figure Thick line indicates, it is not intended that an only bus or a type of bus.Wherein one or more of programs are stored In memory 1131, one or more programs include instruction, and instruction makes terminal device execute Fig. 4 when being executed by terminal device Correlation technique in middle either figure.

The application also provides a kind of computer storage medium for storing one or more programs, and one or more programs include Instruction, the instruction make terminal device execute the correlation technique in Fig. 4 in either figure when being executed by terminal device.

Present invention also provides a kind of computer program products comprising instruction, when the computer program product is set in terminal When standby upper operation, so that terminal device executes the correlation technique in Fig. 4 in either figure.

The embodiment of the present application provides a kind of chip system, which includes processor, for supporting terminal device It realizes the above method, such as receives the detection wave beam from the network equipment.In a kind of possible design, which is also wrapped Include memory.The memory, for saving the necessary program instruction of terminal device and data.Certainly, memory can not also be In chip system.The chip system may include chip, and integrated circuit also may include chip and other discrete devices, this Shen Please embodiment this is not especially limited.

Wherein, terminal device provided by the present application, computer storage medium, computer program product or chip system are equal For executing corresponding method presented above, therefore, attainable beneficial effect can refer to pair presented above The beneficial effect in method answered, details are not described herein again.

The application provides a kind of network equipment, for executing the above method.The embodiment of the present application can be according to the above method Example carries out the division of functional module to the network equipment, can also be with for example, each functional module of each function division can be corresponded to Two or more functions are integrated in a processing module.Above-mentioned integrated module both can take the form of hardware It realizes, can also be realized in the form of software function module.It should be noted that being signal to the division of module in the application Property, only a kind of logical function partition, there may be another division manner in actual implementation.

In the case where each function division of use correspondence each functional module, Figure 12 shows involved in above-described embodiment And the network equipment a kind of possible structural schematic diagram, the network equipment 12 includes: transmission unit 1211, receiving unit 1212. Above-mentioned each unit is for supporting the network equipment to execute the correlation technique in Fig. 4 in either figure.The network equipment provided by the present application For executing corresponding method presented above, therefore, corresponding feature and an attainable beneficial effect be can refer to Beneficial effect in corresponding method provided by text, details are not described herein again.

Illustratively, process S101, S105 that transmission unit 1211 is used to that the network equipment 12 to be supported to execute in Fig. 4；It receives Process S104, S105 that unit 1212 is used to that the network equipment 12 to be supported to execute in Fig. 4.Wherein, above method embodiment is related to All related contents of each step can quote the function description of corresponding function module, and details are not described herein.

Using integrated unit, Figure 13 shows one kind of the network equipment involved in above-described embodiment Possible structural schematic diagram.The network equipment 12 includes: memory module 1221, processing module 1222, communication module 1223.It is above-mentioned each Module is for supporting the network equipment to execute the correlation technique in Fig. 4 in either figure.The network equipment provided by the present application is for holding Row corresponding method presented above, therefore, the attainable beneficial effect of corresponding feature and institute can refer to be mentioned above The beneficial effect in corresponding method supplied, details are not described herein again.

Specifically, processing module 1222 is for carrying out control management to the movement of the network equipment 12.Communication module 1223 is used The function of above-mentioned transmission unit 1211, receiving unit 1212 is executed in the support network equipment 12.Memory module 1221 is for storing The program code and data of the network equipment.

Wherein, processing module 1222 can be processor or controller, such as can be central processing unit (central Processing unit, CPU), general processor, digital signal processor (digital signal processor, DSP), Specific integrated circuit (application-specific integrated circuit, ASIC), field programmable gate array It is (Field programmable gate array, FPGA) or other programmable logic device, transistor logic, hard Part component or any combination thereof.It may be implemented or execute to combine and various illustratively patrol described in present disclosure Collect box, module and circuit.The processor is also possible to realize the combination of computing function, such as includes one or more micro- places Manage device combination, DSP and the combination of microprocessor etc..Communication module 1223 can be transceiver, transmission circuit, bluetooth, network Interface or communication interface etc..Memory module 1221 can be memory.

Specifically, processing module 1222 can be able to be for the processor in the BBU 1201 in Fig. 3, communication module 1223 The RF circuit in RRU 1202 in Fig. 3, memory module 1221 can be the memory in the BBU 1201 in Fig. 3.

When processing module 1222 is processor, communication module 1123 is RF circuit, when memory module 1221 is memory, this The network equipment involved in applying can be the network equipment 12 shown in Figure 14.

Refering to fig. 1 shown in 4, which includes: processor 1231, memory 1232, bus system 1233, RF electricity Road 1234, optical fiber 1235, coaxial cable 1236, antenna 1237, and one or more programs.Wherein, the processing of BBU 1201 Device 1231, memory 1232 are connected with each other by bus system 1233.RF circuit 1234 in RRU 1202 and BBU 1201 it Between be connected with each other by optical fiber 1235.Pass through 1236 phase of coaxial cable between RF circuit 1234 and antenna 1237 in RRU 1202 It connects.Above-mentioned bus system can be Peripheral Component Interconnect STD bus or expanding the industrial standard structure bus etc..It is described total Line can be divided into address bus, data/address bus, control bus etc..Only to be indicated with a thick line in figure, but not convenient for indicating Indicate only have a bus or a type of bus.Wherein one or more of programs are stored in memory, and one Or multiple programs include instruction, instruction makes the network equipment execute the correlation in Fig. 4 in either figure when being executed by the network equipment Method.

The application also provides a kind of computer storage medium for storing one or more programs, and one or more programs include Instruction, the instruction make the network equipment execute the correlation technique in Fig. 4 in either figure when being executed by the network equipment.

Present invention also provides a kind of computer program products comprising instruction, when the computer program product is set in network When standby upper operation, so that the network equipment executes the correlation technique in Fig. 4 in either figure.

The embodiment of the present application provides a kind of chip system, which includes processor, for supporting the network equipment It realizes above- mentioned information indicating means, such as sends the first instruction information to terminal device, which is instruction first The instruction information of time resource.In a kind of possible design, which further includes memory.The memory, for protecting Deposit the necessary program instruction of the network equipment and data.Certainly, memory can not also be in chip system.The chip system, can To include chip, integrated circuit also may include chip and other discrete devices, and the embodiment of the present application does not limit this specifically It is fixed.

Wherein, the network equipment provided by the present application, computer storage medium, computer program product or chip system are equal For executing corresponding method presented above, therefore, attainable beneficial effect can refer to pair presented above The beneficial effect in method answered, details are not described herein again.

It should be understood that magnitude of the sequence numbers of the above procedures are not meant to execute suitable in the various embodiments of the application Sequence it is successive, the execution of each process sequence should be determined by its function and internal logic, the implementation without coping with the embodiment of the present application Process constitutes any restriction.

Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed Scope of the present application.

It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.

In several embodiments provided herein, it should be understood that disclosed system, apparatus and method, it can be with It realizes by another way.For example, apparatus embodiments described above are merely indicative, for example, the unit It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of equipment or unit It closes or communicates to connect, can be electrical property, mechanical or other forms.

The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.

It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.

In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real It is existing.When being realized using software program, can entirely or partly realize in the form of a computer program product.The computer Program product includes one or more computer instructions.On computers load and execute computer program instructions when, all or It partly generates according to process or function described in the embodiment of the present application.The computer can be general purpose computer, dedicated meter Calculation machine, computer network or other programmable devices.The computer instruction can store in computer readable storage medium In, or from a computer readable storage medium to the transmission of another computer readable storage medium, for example, the computer Instruction can pass through wired (such as coaxial cable, optical fiber, number from a web-site, computer, server or data center Word user line (digital subscriber line, DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another A web-site, computer, server or data center are transmitted.The computer readable storage medium can be computer Any usable medium that can be accessed either includes the numbers such as one or more server, data centers that medium can be used to integrate According to storage equipment.The usable medium can be magnetic medium (for example, floppy disk, hard disk, tape), optical medium (for example, DVD), Or semiconductor medium (such as solid state hard disk (solid state disk, SSD)) etc..

The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any Those familiar with the art within the technical scope of the present application, can easily think of the change or the replacement, and should all contain Lid is within the scope of protection of this application.Therefore, the protection scope of the application should be based on the protection scope of the described claims.

Claims

1. a kind of downlink wave beam training method characterized by comprising

Terminal device receives the detection wave beam from the network equipment, and the detection wave beam is modulated by antenna weight vector, the day Line weight vectors include the random code book vector that fixed codebook vector sum generates at random；

The terminal device constructs observing matrix according to the antenna weight vector；

The terminal device carries out signal reconstruction, and root by sparse vector of the observing matrix to beam search energy space Wave beam is solved to information according to the sparse vector, wherein the wave beam includes transmitting terminal beam information to information；

The terminal device sends the transmitting terminal beam information to the network equipment.

2. the method according to claim 1, wherein the observing matrix are as follows:

Wherein, b_r,i=W_r(W_rW_r ^H)^-1u_r,i, b_t,i=W_t(W_tW_t ^H)^-1u_t,i, vec () indicates matrix becoming vector, W_rFor reality The antenna weight vector of receiving end wave beam, W when transmission_tThe antenna weight vector of transmitting terminal wave beam when for actual transmissions,It is i-th A receiving antenna weight vectors, u_t,iFor i-th of transmitting antenna weight vectors, ()^HIndicate conjugate transposition, ()^-1Representing matrix is inverse.

3. according to the method described in claim 2, it is characterized in that, the wave beam includes optimal beam to information, institute to information It states terminal device and signal reconstruction is carried out by sparse vector of the observing matrix to beam search energy space, and according to described Sparse vector solves wave beam to information, comprising:

Maximum value position χ in each component of the sparse vector q of the observing matrix θ is done any one of according to the following equation Accurate estimation out:

OrOr

Wherein, θ_χIndicate the χ column of observing matrix θ, q=(θ^Hθ)^-1θ^HH,Expression takes the calculating knot so that back formula Fruit corresponding χ when being minimum value,It indicates to take so that corresponding χ when the calculated result of back formula is maximum value, | | | |₂Indicate 2- norm, | | | | indicate modulus, | | | |²Indicate modulus square, h is that the multipath channel after vectorization responds element；

Optimal beam is obtained according to the following equation to information (k_opt,l_opt) are as follows:

l_opt=χ/K_r, k_opt=χ-K_rl_opt,

4. according to the method described in claim 3, it is characterized in that, the wave beam further includes alternative wave beam to information to information, The method also includes:

The terminal device successively makes accurately maximum value position χ in nonzero value component remaining in q according to the formula Estimation, obtains the alternative wave beam to information (k_oth,l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othAlternatively to connect Receiving end wave beam serial number.

5. method according to claim 1-4, which is characterized in that the transmitting terminal beam information includes transmitting terminal The corresponding codebook vectors of wave beam or transmitting terminal wave beam serial number.

6. method according to claim 1-4, which is characterized in that the transmitting terminal beam information includes optimal hair Sending end beam information and alternative transmitting terminal beam information.

7. method according to claim 1-4, which is characterized in that the wave beam further includes receiving end wave to information Beam information, the method also includes:

The terminal device sends the receiving end beam information to the network equipment.

8. a kind of downlink wave beam training method characterized by comprising

The network equipment sends detection wave beam, and the detection wave beam is modulated by antenna weight vector, and the antenna weight vector includes The random code book vector that fixed codebook vector sum generates at random, the antenna weight vector is for constructing observing matrix, the sight It surveys matrix to be used to carry out signal reconstruction to the sparse vector of beam search energy space, the sparse vector is for solving wave beam pair Information, the wave beam include transmitting terminal beam information to information；

The network equipment receives the transmitting terminal beam information from terminal device.

9. according to the method described in claim 8, it is characterized in that, the observing matrix are as follows:

10. according to the method described in claim 9, it is characterized in that, the wave beam includes that optimal beam believes information to information Cease (k_opt,l_opt):

l_opt=χ/K_r, k_opt=χ-K_rl_opt,

Wherein, K_rFor the number of receiving end wave beam, l_optFor optimal transmitting terminal wave beam serial number, k_optFor optimal receiving end wave beam serial number, χ is maximum value position in each component of the sparse vector q of the observing matrix θ；

χ is to make accurate estimation any one of according to the following equation to obtain:

OrOr

Wherein, θ_χIndicate the χ column of observing matrix θ, q=(θ^Hθ)^-1θ^HH,Expression takes the calculated result so that back formula Corresponding χ when for minimum value,It indicates to take so that corresponding χ when the calculated result of back formula is maximum value, | | | |₂ Indicate 2- norm, | | | | indicate modulus, | | | |²Indicate modulus square, h is that the multipath channel after vectorization responds element.

11. according to the method described in claim 10, it is characterized in that, the wave beam further includes alternative wave beam to information to information (k_oth,l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othFor alternative receiving end wave beam serial number, the alternative wave beam pair Information (k_oth,l_oth) it is successively to make accurately estimating to maximum value position χ in nonzero value component remaining in q according to the formula Meter obtains.

12. according to the described in any item methods of claim 8-11, which is characterized in that the transmitting terminal beam information includes sending Hold the corresponding codebook vectors of wave beam or transmitting terminal wave beam serial number.

13. according to the described in any item methods of claim 8-11, which is characterized in that the transmitting terminal beam information includes optimal Transmitting terminal beam information and alternative transmitting terminal beam information.

14. according to the described in any item methods of claim 8-11, which is characterized in that the wave beam further includes receiving end to information Beam information, the method also includes:

The network equipment receives the receiving end beam information from the terminal device.

15. a kind of terminal device characterized by comprising

Receiving unit, for receiving the detection wave beam from the network equipment, the detection wave beam is modulated by antenna weight vector, institute Stating antenna weight vector includes the random code book vector that fixed codebook vector sum generates at random；

Construction unit constructs observing matrix for the received antenna weight vector of the receiving unit；

Unit is solved, the observing matrix for construction unit building carries out letter to the sparse vector of beam search energy space Number reconstruct, and according to the sparse vector solve wave beam to information, wherein the wave beam to information include transmitting terminal wave beam letter Breath；

Transmission unit, for sending the transmitting terminal beam information that the solution unit solves to the network equipment.

16. terminal device according to claim 15, which is characterized in that the observing matrix are as follows:

17. terminal device according to claim 16, which is characterized in that the solution unit is specifically used for:

Alternatively,Alternatively,

l_opt=χ/K_r, k_opt=χ-K_rl_opt,

18. terminal device according to claim 17, which is characterized in that the wave beam further includes alternative wave beam pair to information Information, the solution unit are also used to:

Accurate estimation successively is made to maximum value position χ in nonzero value component remaining in q according to the formula, is obtained described Alternative wave beam is to information (k_oth,l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othFor alternative receiving end wave beam serial number.

19. the described in any item terminal devices of 5-18 according to claim 1, which is characterized in that the transmitting terminal beam information packet Include the corresponding codebook vectors of transmitting terminal wave beam or transmitting terminal wave beam serial number.

20. the described in any item terminal devices of 5-18 according to claim 1, which is characterized in that the transmitting terminal beam information packet Include optimal transmitting terminal beam information and alternative transmitting terminal beam information.

21. the described in any item terminal devices of 5-18 according to claim 1, which is characterized in that the wave beam further includes to information Receiving end beam information, the transmission unit are also used to:

The receiving end beam information is sent to the network equipment.

22. a kind of network equipment characterized by comprising

23. the network equipment according to claim 22, which is characterized in that the observing matrix are as follows:

24. the network equipment according to claim 23, which is characterized in that the wave beam includes optimal beam to letter to information Cease information (k_opt,l_opt):

l_opt=χ/K_r, k_opt=χ-K_rl_opt,

Alternatively,Alternatively,

Wherein, θ_χIndicate the χ column of observing matrix θ, q=(θ^Hθ)^-1θ^HH,Expression takes the calculating knot so that back formula Fruit corresponding χ when being minimum value,It indicates to take so that corresponding χ when the calculated result of back formula is maximum value, | | | |₂Indicate 2- norm, | | | | indicate modulus, | | | |²Indicate modulus square, h is that the multipath channel after vectorization responds element.

25. the network equipment according to claim 24, which is characterized in that the wave beam further includes alternative wave beam pair to information Information (k_oth,l_oth), wherein l_othFor alternative transmitting terminal wave beam serial number, k_othFor alternative receiving end wave beam serial number, the alternative wave Beam is to information (k_oth,l_oth) it is that essence successively is made to maximum value position χ in nonzero value component remaining in q according to the formula Really estimation obtains.

26. the described in any item network equipments of 6-25 according to claim 1, which is characterized in that the transmitting terminal beam information packet Include the corresponding codebook vectors of transmitting terminal wave beam or transmitting terminal wave beam serial number.

27. the described in any item network equipments of 6-25 according to claim 1, which is characterized in that the transmitting terminal beam information packet Include optimal transmitting terminal beam information and alternative transmitting terminal beam information.

28. the described in any item network equipments of 6-25 according to claim 1, which is characterized in that the wave beam further includes to information Receiving end beam information, the receiving unit are also used to:

The receiving end beam information is received from the terminal device.

29. a kind of storage medium, is stored thereon with computer program, which is characterized in that the computer program is held by processor Claim 1-7 described in any item methods are realized when row, alternatively, realizing the described in any item methods of claim 8-14.