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CN104158575A - Method of user scheduling of multi-cell MIMO (Multiple Input Multiple Output) system under ZF (Zero Frequency) pre-coding strategy - Google Patents

Method of user scheduling of multi-cell MIMO (Multiple Input Multiple Output) system under ZF (Zero Frequency) pre-coding strategy Download PDF

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CN104158575A
CN104158575A CN201410409272.7A CN201410409272A CN104158575A CN 104158575 A CN104158575 A CN 104158575A CN 201410409272 A CN201410409272 A CN 201410409272A CN 104158575 A CN104158575 A CN 104158575A
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user
base station
cell
precoding
scale channel
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金石
李峥
王晓钰
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Southeast University
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Southeast University
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Abstract

本发明公开了一种ZF预编码策略下基于大尺度信道衰落的多小区大规模MIMO系统用户调度方法,该系统中有多个小区,每个小区的中心基站均配置有大规模均匀线型天线阵列,各小区在时间上交错地传输反向链路导频进行信道估计;对于同一个小区,若干单天线用户在同一时频资源上接受基站服务;基站采用ZF预编码策略,基于大尺度信道衰落的相似性对用户进行分组。本发明同时适用于基站天线数有限、无限两种参数部署下的无协作大规模MIMO多小区TDD系统,突破了对大规模MIMO系统用户调度均在基站天线数无穷多这一假设下研究的瓶颈,便于在实际可部署系统中进行用户调度操作,同时该发明利用简单有限的反馈量实现出可观的系统和速率性能。

The invention discloses a multi-cell massive MIMO system user scheduling method based on large-scale channel fading under the ZF precoding strategy. There are multiple cells in the system, and the central base station of each cell is equipped with a large-scale uniform linear antenna. Array, each cell transmits reverse link pilots staggered in time for channel estimation; for the same cell, several single-antenna users receive the service of the base station on the same time-frequency resource; the base station adopts the ZF precoding strategy, based on large-scale channel The similarity of fading groups users. The present invention is applicable to the non-cooperative large-scale MIMO multi-cell TDD system under the deployment of both limited and unlimited number of base station antennas, and breaks through the bottleneck of research on the assumption that the user scheduling of the large-scale MIMO system is based on the assumption that the number of base station antennas is infinite , it is convenient to perform user scheduling operation in an actual deployable system, and at the same time, the invention realizes considerable system and rate performance by using a simple and limited feedback amount.

Description

Many cell mimos system user dispatching method under ZF precoding strategy
Technical field
The present invention relates under a kind of ZF precoding strategy based on the extensive mimo system user scheduling method in large scale channel fading Duo community.
Background technology
In order to meet the demand of LTE communication system high data rate and high power system capacity aspect, LTE system is supported many antennas MIMO technology, comprises transmission diversity, spatial reuse, wave beam forming.In multi-user MIMO system down link, owing to disperseing on geographical position between each travelling carriage, between travelling carriage, cannot realize mutual cooperation, therefore can not utilize the receiving algorithm joint-detection in up link to go out to transmit.Now can to channel condition information CSI, be used at transmitting terminal, adopt multi-user MIMO system precoding technology to carry out preliminary treatment to transmitting, the signal that each user is received not disturbed by other users.Along with the huge increase of smart mobile phone and all kinds of mobile terminal quantity, at Future Ten, in year, the expectation of data traffic demand is by the growth that occurs 1,000 times, and how meeting power system capacity lifting demand becomes problem demanding prompt solution.As a kind of disruptive technology that can effectively resist in theory serious presence of intercell interference in global frequencies multiplex system, promote user's service speed, extensive MIMO TDD system is receiving increasing concern and further investigation.In extensive mimo system, a large amount of antennas cheaply of end, base station administration are the relatively less user's service of quantity on same running time-frequency resource, and the spectrum efficiency that only adopts simple precoding and random user scheduling strategy to obtain to attract people's attention promotes.
At present, industry is launched extensive discussions and further investigation to extensive mimo system, the dimensional energy that has scholar to utilize extensive mimo system to have correlation properties channel is concentrated characteristic, proposed multi-subscriber dispatching scheme, by the nonoverlapping user in selective channel covariance matrix subspace, reached and eliminate the object of disturbing.The extensive MIMO user's dispatching algorithm in existing many communities utilizes dimensional energy to concentrate characteristic to design, in algorithm, need to obtain user's scheduling scheme by the processes such as coding in user grouping, descending training, uplink feedback and more complicated two stages, too complicated in practical operation.And user need to carry out information feedback in this algorithm to base station, be not suitable for extensive MIMO TDD system.In addition, although extensive mimo wireless communication technology has caused international extensive concern, but correlative study work is still in the starting stage, the various researchs of extensive mimo system are all launched around infinite many these hypothesis of antenna for base station number, and this hypothesis often can not be built middle establishment at real system, closer to actual, more generally under system model, how to carry out simply and effectively the focus that user's selection and scheduling become research.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the invention provides under a kind of ZF precoding strategy based on the extensive mimo system user scheduling method in large scale channel fading Duo community: according to user's large scale channel fading, user complete or collected works are divided into different treating in scheduling set, and each treats that the user in scheduling set has close large scale channel fading; Within each dispatching cycle, based on poll criterion, dispatch successively all users in scheduling set that treat; The method is applicable to limited, the unlimited two kinds of parameters of antenna for base station number simultaneously and disposes lower to many communities of extensive MIMO TDD system that cooperates, can break through extensive mimo system user is dispatched to the bottleneck of all studying under infinite many these hypothesis of antenna for base station number, be convenient to can in deployment system, carry out user's scheduling operation in reality, overcome a computation complexity difficult problem simultaneously, utilize simple limited feedback quantity to realize out considerable system and rate capability.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
Under a kind of ZF precoding strategy based on the extensive mimo system user scheduling method in large scale channel fading Duo community, in this mimo system, there are a plurality of communities, the center base station of each community all disposes extensive evenly line style aerial array, and each community is transmitted alternately in time reverse-link pilot frequency and carried out channel estimating; For same community, some single antenna users accept base station service on same running time-frequency resource, and by user, according to certain rule grouping, different user groups is called within different dispatching cycles; Base station adopts ZF precoding strategy, and the similitude based on large scale channel fading is divided into groups to user, and concrete dispatching method comprises the steps:
(1), to a plurality of communities, obtain the local large scale channel fading factor of all users in each community;
(2) each community independently, each community side by side carries out user grouping according to following process: in Jiang Zhe community, the most close user of the local large scale channel fading factor assigns in same user organizes, number of users in each user's group is identical, and grouping information and each user's the local out to out channel fading factor is fed back to base station;
(3) each community independently, each community side by side carries out poll according to following process: based on polling dispatching criterion, within a dispatching cycle, in all user's groups in Zhe community, base station, user's group of random selection communicates, and the user that base station notice is scheduled organizes and prepares to receive data; In each polling cycle, all user's groups in this community have and are only once scheduled;
(4) base station carries out being transferred to the user who is scheduled after ZF precoding to data.
In described step (2), divide into groups according to local large scale channel fading factor pair user independently in each community, and each user's group has identical number of users; For j community, all user's set expressions are , number of users is expressed as will according to rule of classification be divided into individual user organizes set κ jn, each user organizes set κ jnin have K user; When the user in j community divides into groups, first right in all users' local large scale channel fading factor-beta jkjsort, by minimum or the maximum local large scale channel fading factor, start continuous grouping, by the most close K of the local large scale channel fading factor individual user assigns in same user organizes, and finally obtains individually treat scheduling set; β wherein jkjrepresent k user in j community and the large scale channel fading factor between this cell-site antenna.
In described step (3), in order to embody better fairness between user, base station adopts polling dispatching criterion, and each polling cycle comprises individual dispatching cycle; Within any one dispatching cycle, all users that have and only have a user to organize in set are dispatched simultaneously, and in other dispatching cycles in this polling cycle, this user organizes set and will can again not be scheduled; In a polling cycle, owning in this community individual use has completed once scheduling per family; In the dispatching cycle of a polling cycle, the dispatching sequence that user organizes set is arbitrarily, and base station is organized set to user and selected at random.
Each community is transmitted alternately in time reverse-link pilot frequency and is carried out channel estimating, be specially: pilot frequency sequence is all known signals of base station and user, receive after the pilot signal that user sends base station, estimate the channel coefficients between current time base station and user, answer transmission coefficient, base station utilizes the multiple transmission coefficient estimating to carry out ZF precoding to improve systematic function to forward link data; The set L={1 that time-interleaved transmission plan forms all communities in mimo system, 2 ..., L} is divided into Γ mutually disjoint set A 1, A 2..., A Γ, then removing in each relevant cycle of reverse link data transmission, have and only have one set Zhong community carry out reverse link pilot transmission, and all the other set in all communities all in the forward link data transmission stage.
The form that be expressed as multiple transmission coefficient between user and the base station multiple rapid fading factor and the large scale channel fading factor multiply each other, wherein k user in l community and the large scale channel fading factor representation between j cell-site antenna are β jkl; β jklthe slow fading coefficient that represents geonetrical attenuation and shadow fading, because frequency, antenna for base station are all constants, so β jklwithin each coherence time, remain unchanged, without renewal; And the multiple rapid fading factor to be standard circulate again Gaussian random variable, even be also change at random within the relevant cycle.
The large scale channel fading factor r wherein jklrepresent that k user in l community is to the distance of j cell base station, γ is damped expoential, z jkllognormal stochastic variable, i.e. a 10log 10(z jkl) obey zero-mean, standard deviation is σ shadowgaussian Profile, according to the poor σ of the various criterion of system scene shadowspan also different.
β jkland r jklindex be inverse ratio, because each user is less than this user to the distance of other cell base stations to the distance of home base stations, so β jkj>> β jkl, i.e. local large scale fading factor β jkjtherefore in performance, play major decision effect, so in the methods of the invention, as long as obtain each all user's in community the local large scale channel fading factor, can carry out user grouping, also each community independently, each community side by side carries out user grouping.
ZF precoding refers to ZF precoding, the object of zero forcing algorithm is to eliminate interchannel interference, precoding algorithm based on Zero Forcing is mostly the characteristic of utilizing channel matrix or channel correlation matrix itself, thereby channel matrix is done and decomposed the impact that channel is eliminated in distortion completely.The process of described ZF precoding is: before formal transmission data, each user in each user's group can be to home base stations pilot signal transmitted, and pilot frequency sequence is all known signals of base station and user, when receive after pilot signal base station, utilize the pilot signal receiving to do ZF precoding, concrete way is: suppose that the pilot signal that receive l base station is this base station is by inciting somebody to action be multiplied by pilot frequency sequence conjugate transpose obtain the channel estimation value between k user of community, Yu Qi place, l base station by a treated K user's channel estimating vector representation, be Y l=[y 1l, y 2l..., y kl], the ZF precoding way of base station l is to make pre-coding matrix W lfor following form: base station carries out sending to user after ZF precoding to data.
Beneficial effect: based on the extensive mimo system user scheduling method in large scale channel fading Duo community, with respect to prior art, there is following advantage under ZF precoding strategy provided by the invention:
1, the large scale channel fading coefficient based on user is dispatched, only utilize the feedback information of large scale channel fading coefficient and minute quantity just can complete whole scheduling step, effectively reduce computation complexity, and solved the loss that extensive mimo system information feedback is brought;
2, can in the TDD system of arranging limited foundation station antenna, improve effectively simply fairness between user rate and user, it is all based on infinite many these restrictions of antenna for base station number to the research of extensive MIMO that algorithm has been broken through existing, the limited system of antenna for base station number can be built middle establishment actual, be more rational system model, the algorithm therefore obtaining has more theoretical significance and actual application value;
3, not only can in the limited extensive MIMO TDD system of antenna for base station number, set up, also be applicable to the infinite scene of antenna for base station number; In addition, if do not adopt, alternately do not transmit pilot schemes in system, during each community associated transmission pilot tone, can apply above-mentioned simple algorithm yet and obtain good systematic function, so this algorithm has general applicability to corresponding precoding policy system.
Accompanying drawing explanation
Fig. 1 is application scenarios schematic diagram of the present invention; 1-st cell represents the 1st community, and l-th cell represents l community, and j-th cell represents j community, and L-th cell represents L community;
Fig. 2 is the inventive method flow chart.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
As shown in Figure 1, in the extensive mimo system in Duo community, each center of housing estate has an even aerial array of line style, in j community, has individual single antenna user is evenly randomly dispersed in community, and each community is transmitted alternately in time reverse-link pilot frequency and carried out channel estimating; Under TDD transmission mode, for same community, some single antenna users accept base station service on same running time-frequency resource, and by user, according to certain rule grouping, different user groups is called within different dispatching cycles; Base station adopts ZF precoding strategy, and the similitude based on large scale channel fading is divided into groups to user, and concrete dispatching method comprises the steps:
(1), to a plurality of communities, obtain the local large scale channel fading factor of all users in each community;
(2) each community independently, each community side by side carries out user grouping according to following process: in Jiang Zhe community, the most close user of the local large scale channel fading factor assigns in same user organizes, number of users in each user's group is identical, and grouping information and each user's the local out to out channel fading factor is fed back to base station;
(3) each community independently, each community side by side carries out poll according to following process: based on polling dispatching criterion, within a dispatching cycle, in all user's groups in Zhe community, base station, user's group of random selection communicates, and the user that base station notice is scheduled organizes and prepares to receive data; In each polling cycle, all user's groups in this community have and are only once scheduled;
(4) base station carries out being transferred to the user who is scheduled after ZF precoding to data.
In described step (2), divide into groups according to local large scale channel fading factor pair user independently in each community, and each user's group has identical number of users; For j community, all user's set expressions are , number of users is expressed as will according to rule of classification be divided into individual user organizes set κ jn, each user organizes set κ jnin have K user; When the user in j community divides into groups, first right in all users' local large scale channel fading factor-beta jkjsort, by minimum or the maximum local large scale channel fading factor, start continuous grouping, by the most close K of the local large scale channel fading factor individual user assigns in same user organizes, and finally obtains individually treat scheduling set; β wherein jkjrepresent k user in j community and the large scale channel fading factor between this cell-site antenna.
In described step (3), in order to embody better fairness between user, base station adopts polling dispatching criterion, and each polling cycle comprises individual dispatching cycle; Within any one dispatching cycle, all users that have and only have a user to organize in set are dispatched simultaneously, and in other dispatching cycles in this polling cycle, this user organizes set and will can again not be scheduled; In a polling cycle, owning in this community individual use has completed once scheduling per family; In the dispatching cycle of a polling cycle, the dispatching sequence that user organizes set is arbitrarily, and base station is organized set to user and selected at random.
Each community is transmitted alternately in time reverse-link pilot frequency and is carried out channel estimating, be specially: pilot frequency sequence is all known signals of base station and user, receive after the pilot signal that user sends base station, estimate the channel coefficients between current time base station and user, answer transmission coefficient, base station utilizes the multiple transmission coefficient estimating to carry out ZF precoding to improve systematic function to forward link data; The set L={1 that time-interleaved transmission plan forms all communities in mimo system, 2 ..., L} is divided into Γ mutually disjoint set A 1, A 2..., A Γ, then removing in each relevant cycle of reverse link data transmission, have and only have one set Zhong community carry out reverse link pilot transmission, and all the other set in all communities all in the forward link data transmission stage.
The form that be expressed as multiple transmission coefficient between user and the base station multiple rapid fading factor and the large scale channel fading factor multiply each other, wherein k user in l community and the large scale channel fading factor representation between j cell-site antenna are β jkl; β jklthe slow fading coefficient that represents geonetrical attenuation and shadow fading, because frequency, antenna for base station are all constants, so β jklwithin each coherence time, remain unchanged, without renewal; And the multiple rapid fading factor to be standard circulate again Gaussian random variable, even be also change at random within the relevant cycle.
The large scale channel fading factor r wherein jklrepresent that k user in l community is to the distance of j cell base station, γ is damped expoential, z jkllognormal stochastic variable, i.e. a 10log 10(z jkl) obey zero-mean, standard deviation is σ shadowgaussian Profile, according to the poor σ of the various criterion of system scene shadowspan also different.
β jkland r jklindex be inverse ratio, because each user is less than this user to the distance of other cell base stations to the distance of home base stations, so β jkj>> β jkl, i.e. local large scale fading factor β jkjtherefore in performance, play major decision effect, so in the methods of the invention, as long as obtain each all user's in community the local large scale channel fading factor, can carry out user grouping, also each community independently, each community side by side carries out user grouping.
ZF precoding refers to ZF precoding, the object of zero forcing algorithm is to eliminate interchannel interference, precoding algorithm based on Zero Forcing is mostly the characteristic of utilizing channel matrix or channel correlation matrix itself, thereby channel matrix is done and decomposed the impact that channel is eliminated in distortion completely.The process of described ZF precoding is: before formal transmission data, each user in each user's group can be to home base stations pilot signal transmitted, and pilot frequency sequence is all known signals of base station and user, when receive after pilot signal base station, utilize the pilot signal receiving to do ZF precoding, concrete way is: suppose that the pilot signal that receive l base station is this base station is by inciting somebody to action be multiplied by pilot frequency sequence conjugate transpose obtain the channel estimation value between k user of community, Yu Qi place, l base station by a treated K user's channel estimating vector representation, be Y l=[y 1l, y 2l..., y kl], the ZF precoding way of base station l is to make pre-coding matrix W lfor following form: base station carries out sending to user after ZF precoding to data.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (5)

1.ZF预编码策略下基于大尺度信道衰落的多小区大规模MIMO系统用户调度方法,该MIMO系统中有多个小区,每个小区的中心基站均配置有大规模均匀线型天线阵列,各个小区在时间上交错地传输反向链路导频进行信道估计;对于同一个小区,若干单天线用户在同一时频资源上接受基站服务,将用户按照一定规则分组,不同用户组在不同的调度周期内被调用;其特征在于:基站采用ZF预编码策略,基于大尺度信道衰落的相似性对用户进行分组,具体的调度方法包括如下步骤:1. A multi-cell massive MIMO system user scheduling method based on large-scale channel fading under the ZF precoding strategy. There are multiple cells in the MIMO system, and the central base station of each cell is equipped with a large-scale uniform linear antenna array. The cell transmits reverse link pilots staggered in time for channel estimation; for the same cell, several single-antenna users receive the service of the base station on the same time-frequency resource, and the users are grouped according to certain rules, and different user groups are scheduled in different It is called within a period; it is characterized in that: the base station adopts a ZF precoding strategy to group users based on the similarity of large-scale channel fading, and the specific scheduling method includes the following steps: (1)对多个小区,获取每个小区中所有用户的本地大尺度信道衰落因子;(1) For multiple cells, obtain the local large-scale channel fading factors of all users in each cell; (2)每个小区独立地、各个小区同时地按照如下过程进行用户分组:将本小区内本地大尺度信道衰落因子最相近的用户分到同一个用户组内,每个用户组内的用户数量相同,将分组信息和每个用户的本地最大尺度信道衰落因子反馈给基站;(2) Each cell performs user grouping independently and simultaneously in each cell according to the following process: divide the users with the closest local large-scale channel fading factors in the cell into the same user group, and the number of users in each user group Same, feed back the grouping information and the local maximum scale channel fading factor of each user to the base station; (3)每个小区独立地、各个小区同时地按照如下过程进行轮询:基于轮询调度准则,在一个调度周期内,基站在本小区内的所有用户组中随机选择一个用户组进行通信,基站通知被调度的用户组准备接收数据;在每个轮询周期内,本小区内的所有用户组有且仅有一次被调度;(3) Each cell performs polling independently and simultaneously according to the following process: based on the polling scheduling criterion, within a scheduling period, the base station randomly selects a user group from all user groups in the cell to communicate, The base station notifies the scheduled user group to prepare to receive data; in each polling cycle, all user groups in the cell are scheduled once and only once; (4)基站对数据进行ZF预编码后传输给被调度的用户。(4) The base station performs ZF precoding on the data and then transmits it to the scheduled user. 2.根据权利要求1所述的ZF预编码策略下基于大尺度信道衰落的多小区大规模MIMO系统用户调度方法,其特征在于:各个小区在时间上交错地传输反向链路导频进行信道估计,具体为:导频序列为基站和用户都已知的信号,基站收到用户发送的导频信号后,估计出当前时刻基站与用户之间的信道系数,即复传输系数,基站利用估计出的复传输系数对前向链路数据进行ZF预编码以提高系统性能;时间交替传输方案将MIMO系统中所有小区组成的集合L={1,2,…,L}划分为Γ个互不相交的集合A1,A2,…,AΓ,然后在除去反向链路数据传输的每个相干周期内,有且仅有一个集合中的小区进行反向链路导频传输,而其余集合中的所有小区均处于前向链路数据传输阶段。2. the user scheduling method based on the large-scale channel fading of many cells under the ZF precoding strategy according to claim 1, is characterized in that: each sub-district transmits the reverse link pilot frequency interleavedly in time and carries out channel Estimation, specifically: the pilot sequence is a signal known to both the base station and the user. After the base station receives the pilot signal sent by the user, it estimates the channel coefficient between the base station and the user at the current moment, that is, the complex transmission coefficient. The base station uses the estimated ZF precoding is performed on the forward link data to improve system performance; the time-alternating transmission scheme divides the set L={1,2,...,L} of all cells in the MIMO system into Γ mutually different Intersecting sets A 1 , A 2 ,...,A Γ , then in each coherent period except the reverse link data transmission, there is and only one cell in the set performs reverse link pilot transmission, and the rest All cells in the set are in the forward link data transmission phase. 3.根据权利要求2所述的ZF预编码策略下基于大尺度信道衰落的多小区大规模MIMO系统用户调度方法,其特征在于:用户与基站之间的复传输系数表示为复快衰落因子和大尺度信道衰落因子相乘的形式,其中第l个小区中的第k个用户与第j个小区基站天线之间的大尺度信道衰落因子表示为βjkl;βjkl表示几何衰减和阴影衰落的慢衰落系数,由于频率、基站天线都是常数,因此βjkl在每个相干时间内都保持不变,无需更新;而复快衰落因子是标准复循环高斯随机变量,即使在相干周期内也是随机变化的。3. the user scheduling method based on large-scale channel fading of multi-cell massive MIMO system under the ZF precoding strategy according to claim 2, is characterized in that: the complex transmission coefficient between the user and the base station is expressed as complex fast fading factor and The form of multiplication of large-scale channel fading factors, where the large-scale channel fading factor between the kth user in the lth cell and the jth cell base station antenna is expressed as β jkl ; β jkl represents the geometric attenuation and shadow fading The slow fading coefficient, since the frequency and the base station antenna are constant, so β jkl remains unchanged in each coherent time, no need to update; and the complex fast fading factor is a standard complex cycle Gaussian random variable, even in the coherent cycle is also random change. 4.根据权利要求3所述的ZF预编码策略下基于大尺度信道衰落的多小区大规模MIMO系统用户调度方法,其特征在于:大尺度信道衰落因子其中rjkl表示第l个小区中的第k个用户到第j个小区基站的距离,γ为衰减指数,zjkl是一个对数正态随机变量,即10log10(zjkl)服从零均值、标准差为σshadow的高斯分布,根据系统场景的不同标准差σshadow的取值范围也不一样。4. the method for scheduling users in a massive MIMO system based on large-scale channel fading under the ZF precoding strategy according to claim 3, characterized in that: large-scale channel fading factor Where r jkl represents the distance from the kth user in the lth cell to the jth cell base station, γ is the attenuation index, z jkl is a logarithmic normal random variable, that is, 10log 10 (z jkl ) obeys zero mean, The standard deviation is the Gaussian distribution of σ shadow , and the value range of the standard deviation σ shadow is different according to different system scenarios. 5.根据权利要求4所述的ZF预编码策略下基于大尺度信道衰落的多小区大规模MIMO系统用户调度方法,其特征在于:所述ZF预编码的过程为:在正式传输数据前,每个用户组内的每个用户都会向本地基站发送导频信号,而导频序列为基站和用户都已知的信号,当基站收到导频信号后,利用接收的导频信号做ZF预编码,具体的做法是:假设第l个基站收到的导频信号是则该基站通过将乘以导频序列的共轭转置得到第l个基站与其所在小区的第k个用户间的信道估计值将经过处理的K个用户的信道估计向量表示为Yl=[y1l,y2l,...,yKl],则基站l的ZF预编码做法是令预编码矩阵Wl为下列形式:基站对数据进行ZF预编码后发送给用户。5. the user scheduling method based on the large-scale channel fading of multi-cell massive MIMO system under the ZF precoding strategy according to claim 4, it is characterized in that: the process of described ZF precoding is: before formally transmitting data, every Each user in a user group will send a pilot signal to the local base station, and the pilot sequence is a signal known to both the base station and the user. When the base station receives the pilot signal, it uses the received pilot signal for ZF precoding , the specific method is: Assume that the pilot signal received by the lth base station is Then the base station passes the multiplied by the pilot sequence The conjugate transpose of obtains the channel estimation value between the lth base station and the kth user of the cell where it is located Expressing the processed channel estimation vectors of K users as Y l =[y 1l ,y 2l ,...,y Kl ], then the ZF precoding method of base station l is to make the precoding matrix W l have the following form: The base station performs ZF precoding on the data and sends it to the user.
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