WO2018126776A1

WO2018126776A1 - User terminal scheduling method and device, and communication system

Info

Publication number: WO2018126776A1
Application number: PCT/CN2017/108430
Authority: WO
Inventors: 韩亚洁; 秦洪峰; 李朝勇
Original assignee: 中兴通讯股份有限公司
Priority date: 2017-01-05
Filing date: 2017-10-30
Publication date: 2018-07-12
Also published as: CN108282201A; CN108282201B

Abstract

Embodiments of the present application provide a user terminal scheduling method and device, and a communication system. The method comprises: obtaining downlink channel estimation information of a user terminal to be scheduled; mapping the user terminal to be scheduled to beam domain spaces according to the downlink channel estimation information and spatial attributes of the beam domain spaces of a current base station, and obtaining a capacity performance estimation result of the user terminal to be scheduled in the beam domain spaces; scheduling the user terminal to be scheduled in the beam domain spaces according to the capacity performance estimation result of the user terminal to be scheduled in the beam domain spaces; and obtaining weight information of the user terminal to be scheduled in the beam domain spaces, and performing downlink data transmission according to the weight information. According to the present application, the downlink channel of a user is mapped to different beam domain spaces using the sparsity of a three-dimensional channel, the spatial degree of freedom of the three-dimensional channel can be fully utilized, so that the accurate separation of the user on a spatial domain is implemented, and system throughput is significantly improved.

Description

User terminal scheduling method and device, communication system

Technical field

The present application relates to the field of communications, for example, to a user terminal scheduling method and apparatus, and a communication system.

Background technique

The 3D MIMO (Multiple-Input Multiple-Output) technology uses the method of configuring the active array antenna at the base station to introduce vertical dimension information based on the relevant two-dimensional channel model, which breaks through the conventional MIMO fixed. The limitation of the dip angle, based on the traditional MIMO horizontal dimension, introduces additional vertical dimension degrees of freedom, which improves the utilization of airspace resources and provides the possibility of increasing system capacity. Therefore, multi-user scheduling and precoding methods for 3D MIMO systems are the focus of 3D MIMO research.

Summary of the invention

The embodiments of the present disclosure provide a user terminal scheduling method and apparatus, and a communication system, to provide a multi-user scheduling method suitable for a 3D MIMO system.

In one aspect, a user terminal scheduling method is provided, including:

Obtaining downlink channel estimation information of the user terminal to be scheduled;

The user terminal to be scheduled is mapped to each beam domain space according to the downlink channel estimation information and the spatial attributes of the current beam space of the base station, and the capacity performance estimation result of the user terminal to be scheduled in each beam domain space is obtained;

According to the capacity performance estimation result of the user terminal to be scheduled in each beam domain space, the user terminal to be scheduled is scheduled in each beam domain space;

Obtaining weight information of the user terminal to be scheduled in each beam domain space, and performing downlink data transmission according to the weight information.

In one aspect, a user terminal scheduling apparatus is provided, including: a computing module and a scheduling module, where

The calculation module is configured to obtain downlink channel estimation information of the user terminal to be scheduled; and to map the user terminal to be scheduled to each beam domain space according to the downlink channel estimation information and the spatial attributes of each beam domain space of the current base station, and obtain the user terminal to be scheduled Capacity performance estimation results for each beam domain space;

The scheduling module is configured to: according to the capacity performance estimation result of the user terminal to be scheduled in each beam domain space, the user terminal to be scheduled is scheduled in each beam domain space; and the weight information of the user terminal to be scheduled in each beam domain space is obtained, according to the right The value information is used for downlink data transmission.

In one aspect, a communication system is provided, including a base station, the base station is provided with an active antenna plane array, and the base station further includes a user terminal scheduling apparatus provided by an embodiment of the present disclosure.

In another aspect, a computer storage medium is provided, the computer storage medium storing computer executable instructions for executing the aforementioned user terminal scheduling method.

An embodiment of the present disclosure further provides an electronic device, including:

At least one processor;

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processor to perform the method described above.

The embodiment of the present disclosure provides a user terminal scheduling method, which is based on the three-dimensional channel characteristics, uses the spatial sparsity of the three-dimensional channel, and maps the user downlink channel into different beam domain spaces, and determines the beam domain direction based on the threshold. The spatial freedom of the three-dimensional channel is utilized to achieve a more accurate separation of the user in the spatial domain. Then, the base station uses the beam domain information fed back by the user for a long time to schedule users whose beams are orthogonal to each other, and determines a set of scheduling users. The present disclosure can fully utilize the present disclosure. The spatial freedom of the three-dimensional channel and the scheduling algorithm with low complexity and low feedback overhead significantly improve system throughput.

BRIEF abstract

FIG. 1 is a flowchart of a method for scheduling a user terminal according to a first embodiment of the present disclosure;

2 is a schematic structural diagram of a user terminal scheduling apparatus according to a second embodiment of the present disclosure;

3 is a schematic diagram of networking of a communication system according to a third embodiment of the present disclosure;

4 is a schematic flowchart of a terminal scheduling process according to a third embodiment of the present disclosure;

FIG. 5 is a schematic diagram of throughput simulation when different threshold values are involved in the third embodiment of the present disclosure; FIG.

6 is a schematic diagram of throughput simulation of different algorithms involved in the third embodiment of the present disclosure;

FIG. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

detailed description

The technical solutions in the embodiments of the present disclosure are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present disclosure, which are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present disclosure without departing from the inventive scope are the scope of the disclosure.

The present disclosure will now be explained by way of embodiments with reference to the accompanying drawings.

First embodiment:

1 is a flowchart of a user terminal scheduling method according to a first embodiment of the present disclosure. As shown in FIG. 1, the user terminal scheduling method provided in this embodiment includes:

S101: Acquire downlink channel estimation information of the user terminal to be scheduled.

S102: Mapping the to-be-scheduled user terminal to each beam domain space according to the downlink channel estimation information and the spatial attributes of the current beam space of the base station, and obtaining a capacity performance estimation result of the user terminal to be scheduled in each beam domain space;

S103: According to the capacity performance estimation result of the user terminal to be scheduled in each beam domain space, the user terminal to be scheduled is scheduled in each beam domain space;

S104: Acquire weight information of the user terminal to be scheduled in each beam domain space, and perform downlink data transmission according to the weight information.

In some embodiments, the user terminal scheduling method in the foregoing embodiment, before acquiring the downlink channel estimation information of the user terminal to be scheduled, further includes:

Get the current base station of the system model, the system model comprising a number of antenna elements of the base station active antenna array plane in the horizontal and vertical directions, respectively, and N _h N _v a number, there are K user terminals to be scheduled in the cell, wherein each The user terminal has N _r antennas, and the downlink channel matrix of each user terminal k (1≤k≤K) is

The emission correlation matrix is

According to the system model, the beam domain mapping matrix is constructed. The current base station includes N=N _az ×N _el beam domain mapping matrices, where N _az and N _el are the number of horizontal and vertical beam domain mapping matrices, respectively.

In some embodiments, the estimation results of the capacity performance of the user terminal to be scheduled in each beam domain space in the foregoing embodiment include:

Calculating the weight vector of the user terminal k on the nth beam domain mapping matrix

Where a _i is

The i-th element in ;

Calculation

The sum of the elements in the middle is not less than the minimum number of elements of η (0 < η ≤ 1)

,among them,

Indicates that the selected element is

The set of locations in, M is the number of selected elements;

Selecting user terminal k in the nth beam domain space

After the indicated beam, estimate its signal to interference ratio;

Estimate its capacity when there is no noise

Calculate the average capacity of the user terminal k in each selected beam direction

Build collection

The average beam capacity of the nth beam domain space is selected for all users, and the set C={C ₁ C ₂ ... C _N } is established as the average beam capacity of all users in all beam directions.

In some embodiments, scheduling the user terminals to be scheduled in the beam space in the foregoing embodiment includes:

Search for the largest element in collection C

That is, the average beam capacity of the user p in the mth beam domain space;

Adding the user terminal p to the scheduling user set of the mth beam domain space K _m =K _m ∪{p};

Deleting all the elements in the set C about the user terminal p, searching for the same user in the mth beam domain space and the selected beam of the user terminal p, and deleting the related components from the subset _Cm in the set C element.

In some embodiments, performing downlink data transmission according to the weight information in the foregoing embodiment includes:

For the user terminals in the same beam domain space, the same time-frequency resources are used for transmission;

For scheduled users in different beam domain spaces, time-frequency resources without overlapping are used for transmission.

Second embodiment:

2 is a schematic structural diagram of a user terminal scheduling apparatus according to a second embodiment of the present disclosure. As shown in FIG. 2, the user terminal scheduling apparatus provided in this embodiment includes: a calculation module 21 and a scheduling module 22, where

The calculation module 21 is configured to acquire downlink channel estimation information of the user terminal to be scheduled, and map the user terminal to be scheduled to each beam domain space according to the downlink channel estimation information and the spatial attributes of each beam domain space of the current base station to obtain a user terminal to be scheduled. Capacity performance estimation results in each beam domain space;

The scheduling module 22 is configured to: according to the capacity performance estimation result of the user terminal to be scheduled in each beam domain space, the user terminal to be scheduled is scheduled in each beam domain space; and the weight information of the user terminal to be scheduled in each beam domain space is obtained, according to The weight information is used for downlink data transmission.

As shown in FIG. 2, in some embodiments, the user equipment scheduling apparatus in the foregoing embodiment further includes a modeling module 23 configured to acquire a system model of the current base station before acquiring downlink channel estimation information of the user terminal to be scheduled. The system model includes the active antenna plane array of the base station, and the number of antenna elements in the horizontal and vertical directions is N _h and N _v respectively, and there are K user terminals to be scheduled in the cell, wherein each user terminal has N _r roots Antenna, the downlink channel matrix of each user terminal k (1 ≤ k ≤ K) is

The emission correlation matrix is

In some embodiments, the computing module 21 in the above embodiment is configured to:

Where a _i is

The i-th element in ;

Calculation

,among them,

Indicates that the selected element is

The set of locations in, M is the number of selected elements;

Selecting user terminal k in the nth beam domain space

After the indicated beam, estimate its signal to interference ratio;

Estimate its capacity when there is no noise

Build collection

In some embodiments, the scheduling module 22 in the above embodiment is configured to:

Search for the largest element in collection C

That is, the average beam capacity of the user p in the mth beam domain space; the set of scheduling users K _m = K _m ∪ {p} that adds the user terminal p to the mth beam domain space;

In some embodiments, the scheduling module 22 in the foregoing embodiment is configured to use the same time-frequency resource for the user terminal in the same beam domain space, and for the scheduled users in different beam domain spaces, when there is no overlap. Frequency resources are transmitted.

The embodiment of the present disclosure further provides a communication system including a base station, the base station is provided with an active antenna plane array, and the base station further includes a user terminal scheduling device as shown in FIG. 2.

In practical applications, all the functional modules in the embodiment shown in FIG. 2 can be implemented by using a processor, an editing logic device, or the like.

Third embodiment:

The present disclosure will now be explained in conjunction with an application scenario.

This embodiment is described by taking a simple FDD (Frequency Division Duplexing) communication system as an example.

3 is a simplified schematic diagram of an FDD communication system. The 3D MIMO system configures an active antenna plane array through a base station, which can fully utilize the horizontal and vertical spatial degrees of freedom provided by multiple antennas, thereby accurately directing the beam to the service user, thereby reducing multi-user downlink. Inter-user interference during transmission. However, the multi-user downlink transmission requires the base station to obtain the channel information of all the users to be served. In the FDD system, especially when the base station is configured with a large number of antennas, the feedback overhead of the user is greatly increased. Therefore, the three-dimensional multi-user downlink transmission under FDD is 3D. An important research direction in MIMO.

This embodiment discloses a three-dimensional multi-user scheduling and transmission method in an FDD system. By using the spatial sparsity of a three-dimensional channel, the downlink channel of the user is mapped into different beam domain spaces, and the base station uses the feedback beam domain information to schedule. The users whose beams are orthogonal to each other and the downlink precoding design realize multi-user downlink transmission. Compared with the related three-dimensional multi-user transmission scheme, the scheme significantly improves the system throughput performance.

In this embodiment, based on the three-dimensional channel characteristics, the three-dimensional channel spatial domain information is finely divided by the configuration of multiple beam domain spaces, and the beams in each beam domain space are orthogonal to each other, and can be used as a transmission direction for downlink precoding. Secondly, by using the spatial sparsity of the three-dimensional channel, the user's downlink channel is mapped into different beam domain spaces, and the beam domain direction is determined based on the threshold, and the spatial freedom of the three-dimensional channel can be fully utilized to realize the user's spatial domain. Precisely separating, and then the base station uses the beam domain information fed back by the user for a long time to schedule users whose beams are orthogonal to each other to determine a set of scheduling users; again, based on the current channel matrix, the selected beam is obtained by instantaneously feedback beam domain weight information Real-time linear merging of the domain direction allows the signal to be more concentrated to the user. In this embodiment, a feedback strategy combining long-term feedback and instantaneous feedback is adopted, which can fully utilize the spatial freedom of the three-dimensional channel, and significantly improve the system throughput by using a low complexity and low feedback overhead scheduling and precoding algorithm.

As shown in FIG. 4, the technical solution adopted in this embodiment includes the following steps:

(1) System Model: The present disclosure contemplates a single-cell multi-user communication system. Assuming that the base station is an active antenna plane array, the number of antenna elements in the horizontal and vertical directions is N _h and N _v respectively, then the total number of base station antennas is N _t =N _h ×N _v , and there are K in the cell. Service users, each of which has N _r antennas. Each user to be served obtains its downlink channel state information through channel estimation, wherein the downlink channel matrix of user k (1≤k≤K) is

The emission correlation matrix is

(2) Constructing the beam domain mapping matrix: It is assumed that a total of N=N _az ×N _el beam domain mapping matrices are designed in the system, where N _az and N _el are the number of horizontal and vertical beam domain mapping matrices, respectively. The process is as follows:

2a) Using the orthogonal DFT matrix of size N _h ×N _h to obtain the N _az horizontal beam domain mapping matrix after angular rotation:

among them,

For the i-th horizontal beam domain mapping matrix, V _{i is} its rotation matrix as follows:

Where diag(·) is a vector formed by taking diagonal elements of the matrix,

For the original DFT matrix, the mth column of the matrix is:

2b) Similar to the horizontal direction, the orthogonal DFT matrix of size N _v × N _v is used in the vertical direction to obtain N _el vertical beam domain mapping matrices by angular rotation

2c) Construct a N=N _az ×N _el beam domain mapping matrix by direct product

among them,

Representing the direct product of the matrix, B _n is the nth beam domain mapping matrix, corresponding to the beam domain space in which the nth included beam directions are orthogonal to each other, and each column corresponds to one beam direction.

(3) Beam domain mapping of three-dimensional channel information: taking the operation of user k on the nth beam domain space as an example.

3a) The weight vector of user k on the nth beam domain mapping matrix is

Where a _i is

The ith element in .

3b) Using η(0<η≤1) as a threshold, calculate the beam direction selected by the user k in the nth beam domain space, that is, calculate

The sum of the elements in the middle is not less than the minimum number of elements of η:

among them,

Indicates that the selected element is

The collection of locations, M is the number of selected elements, the user will

Feedback to the base station as a long-term PMI.

3c) User k is selected on the nth beam domain space

After the indicated beam, estimate its signal as follows:

Further estimating its capacity when there is no noise

The average beam capacity in the beam space, the set C = {C ₁ C ₂ ... C _N } is the average beam capacity of all users in all beam directions.

(4) User scheduling: user scheduling method based on greedy algorithm design to maximize beam average capacity, hypothesis

For the initial scheduled user set on the nth beam domain space, the steps are as follows:

4a) The base station searches for the largest element in set C, assuming

That is, the average beam capacity of the user p in the mth beam domain space;

4b) Add user p to the scheduled user set of the mth beam domain space

K _m =K _m ∪{p} (10)

4c) delete all elements in the set C about the user p, ie

4d) searching for the same user in the mth beam domain space as the user p selected beam, and deleting the associated element from the subset _Cm in the set C, ie

4e) If the collection

Then the scheduling is completed; if the collection is not satisfied

Then return to step 4a).

(5) Downlink transmission:

For the scheduled users in the same beam domain space, the same resource time-frequency resources are used for transmission, and the scheduled users in different beam domain spaces are transmitted by orthogonal resources without overlapping time-frequency resources. Take the transmission in the nth beam domain space as an example:

Assuming the user k∈K _n , the selected beam direction can be expressed as

That is, the _number in B _n

Column, calculate its weight vector in the direction of the selected beam

Where v _k is a right singular vector corresponding to the largest singular value after the singular value decomposition of the channel matrix H _k . User will

As the instantaneous PMI feedback to the base station, the downlink precoding vector of user k

for

Where ||·|| ₂ represents the vector to find the two norm. Then the signal received by user k is

Where P is the total transmit power of the base station in the beam space, L is the number of users scheduled, x _i is the modulation signal sent by the base station to the ith user, and n _k is the noise vector.

The beneficial effects of this embodiment can be explained by the following simulation and analysis. The system simulation parameters set according to Table 1 are as follows:

Table 1 Basic simulation parameter settings

Figure 5 is a graph showing the throughput performance under different thresholds when the base station is an 8*4 (horizontal*vertical) antenna. The throughput performance at SNR=10dB is taken as an example. When the number is 50, 100, and 200, the optimal threshold is between 0.6 and 0.7. If the threshold is too small, the beam direction selected by each user is reduced, resulting in a large interference. The beam direction is multiplexed by other users, and the signal to interference and noise ratio is also reduced. Although the number of users that can be scheduled increases each time, the spectral efficiency of each user decreases as the signal to interference and noise ratio decreases, resulting in throughput. If the threshold is too large, the beam direction selected by each user becomes larger, and the total number of orthogonal beam directions that the system can schedule is fixed (the same number as the number of base station antennas), so that each time The number of users scheduled is reduced, resulting in a decrease in total throughput. In addition, it can be seen that as the number of schedulable users increases, the system performance will be greatly improved. This is because the increase in the number of schedulable users enables the base station to select users with better spatial sparsity and larger beam average capacity for scheduling. , thereby improving the performance of the scheduling algorithm.

Figure 6 shows an 8*4 (horizontal*vertical) antenna for a base station. When the number of cell users is 100, different algorithms are used. A performance graph of throughput as a function of signal to noise ratio. It can be seen that the algorithm proposed by the present disclosure has a certain performance compared to the performance of the zero-forcing algorithm under ideal feedback, but this is at the cost of great feedback overhead, and the zero-forcing algorithm compared to the limited feedback (here) The direct product of two 8-bit DFT codebooks is used to form a 16-bit direct product DFT codebook as a feedback codebook. The performance is improved because the proposed scheme can better utilize the space of the three-dimensional channel. Sparseness, feedback more accurate channel information for scheduling. The solution proposed in the patent No. 201410531274.3 is applicable to the line-of-sight environment or when the beam direction selected by the user is 1, and when the selected beam direction is greater than 1, the multiple beams are caused by the feedback of the instantaneous channel information. The weight between the two cannot be accurately known, which makes the performance degraded. Although the feedback overhead is minimal, the scheme is only applicable to the line-of-sight environment or an environment requiring extremely low feedback overhead. In the solution proposed by the disclosure, the long-term CQI feedback is performed according to the LTE standard, and the feedback overhead is 4 bits, and the long-term PMI feedback overhead is the number of beam domain spaces * the number of beams selected by the user * log 2 (Nt), wherein the number of beam domain spaces is increased. It only affects the probability that the user is scheduled, and can not improve the system performance, so it can be set to 1, and the feedback overhead of the instantaneous PMI is related to the number of beams selected by the user. When the number of beams selected by the user is 1, the instantaneous PMI is not needed. Feedback, when it is greater than 1, the feedback overhead increases accordingly, where the number of feedback bits is set to be the same as the number of beams selected by the user.

Combined with the above simulation results and analysis, it can be seen that the channel sparsity-based three-dimensional multi-user scheduling and transmission method under the FDD system of the present disclosure can significantly improve the system throughput performance.

Embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

For example, an embodiment of the present disclosure provides a computer readable storage medium storing computer executable instructions arranged to perform the method of any of the above embodiments.

The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

The embodiment of the present disclosure further provides a schematic structural diagram of an electronic device. Referring to FIG. 7, the electronic device includes:

At least one processor 70, which is exemplified by a processor 70 in FIG. 7; and a memory 71, may further include a communication interface 72 and a bus 73. The processor 70, the communication interface 72, and the memory 71 can complete communication with each other through the bus 73. Communication interface 72 can be used for information transfer. Processor 70 can invoke logic instructions in memory 71 to perform the methods of the above-described embodiments.

In addition, the logic instructions in the memory 71 described above may be implemented in the form of a software functional unit and sold or used as a stand-alone product, and may be stored in a computer readable storage medium.

The memory 71 is a computer readable storage medium, and can be used to store a software program, a computer executable program, a program instruction/module corresponding to the method in the embodiment of the present disclosure. The processor 70 executes the function application and the data processing by running the software program, the instruction and the module stored in the memory 71, that is, the user terminal scheduling method in the above method embodiment.

The memory 71 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to usage of the terminal device, and the like. Further, the memory 71 may include a high speed random access memory, and may also include a nonvolatile memory.

The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product stored in a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network) The device or the like) performs all or part of the steps of the method described in the embodiments of the present disclosure. The foregoing storage medium may be a non-transitory storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM, Random). A variety of media that can store program code, such as Access Memory, disk, or optical disk, or a transient storage medium.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. Each of the processes and/or blocks in the flowcharts and/or block diagrams, and combinations of the flows and/or blocks in the flowcharts and/or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

The above is only the embodiment of the present disclosure, and is not intended to limit the present disclosure in any way. Any simple modification, equivalent change, combination or modification of the above embodiment according to the technical essence of the present disclosure still belongs to the present disclosure. The scope of protection of the technical solution.

Industrial applicability

The user terminal scheduling method and device and the communication system provided by the embodiments of the present application can fully utilize the spatial freedom of the three-dimensional channel, thereby achieving a more accurate separation of the user in the spatial domain, and significantly improving the system throughput.

Claims

A user terminal scheduling method includes:

Obtaining downlink channel estimation information of the user terminal to be scheduled;

And mapping the to-be-scheduled user terminal to the beam space according to the downlink channel estimation information and the spatial attributes of the current beam space of the base station, and obtaining the capacity performance estimation of the to-be-scheduled user terminal in each beam domain space. result;

And scheduling the to-be-scheduled user terminal in each beam domain space according to the capacity performance estimation result of the to-be-scheduled user terminal in each beam domain space;

Obtaining weight information of the user terminal to be scheduled in each beam domain space, and performing downlink data transmission according to the weight information.
The method of claim 1, wherein before acquiring the downlink channel estimation information of the user terminal to be scheduled, the method further includes:

Get the current base station of the system model, the system model number of antenna elements comprises a planar array of the base station active antenna in the horizontal and vertical directions, respectively, and N h N v a number, there are K user terminals to be scheduled in the cell, wherein Each user terminal has N r antennas, and the downlink channel matrix of each user terminal k (1 ≤ k ≤ K) is
The emission correlation matrix is

And constructing, according to the system model, a beam domain mapping matrix, where the current base station includes N=N az ×N el beam domain mapping matrices, where N az and Neel are the number of horizontal and vertical beam domain mapping matrices, respectively.
The method according to claim 1 or 2, wherein the obtaining the capacity performance estimation result of the to-be-scheduled user terminal in each beam domain space comprises:

Calculating the weight vector of the user terminal k on the nth beam domain mapping matrix

Where a i is
The i-th element in ;

Calculation
The sum of the elements in the middle is not less than the minimum number of elements of η (0 < η ≤ 1)

among them,
Indicates that the selected element is
The set of locations in, M is the number of selected elements;

Selecting user terminal k in the nth beam domain space
After the indicated beam, estimate its signal to interference ratio

Estimate its capacity when there is no noise

Calculate the average capacity of the user terminal k in each selected beam direction
Build collection
The average beam capacity of the nth beam domain space is selected for all users, and the set C={C 1 C 2 ... C N } is established as the average beam capacity of all users in all beam directions.
The method of claim 3, wherein the scheduling of the to-be-scheduled user terminal in each beam domain space comprises:

Search for the largest element in collection C
That is, the average beam capacity of the user p in the mth beam domain space;

Adding the user terminal p to the scheduling user set of the mth beam domain space K m =K m ∪{p};

Deleting all the elements in the set C about the user terminal p, searching for the same user in the mth beam domain space and the selected beam of the user terminal p, and deleting the related components from the subset Cm in the set C element.
The method of claim 4, wherein the performing downlink data transmission according to the weight information comprises:

For the user terminals in the same beam domain space, the same time-frequency resources are used for transmission;

For scheduled users in different beam domain spaces, time-frequency resources without overlapping are used for transmission.
A user terminal scheduling device includes: a calculation module and a scheduling module, wherein

The calculating module is configured to acquire downlink channel estimation information of the user terminal to be scheduled, and map the to-be-scheduled user terminal to the beam domain according to the downlink channel estimation information and spatial attributes of each beam domain space of the current base station. Space, obtaining a capacity performance estimation result of the user terminal to be scheduled in each beam domain space;

The scheduling module is configured to perform scheduling on the to-be-scheduled user terminal in each beam domain space according to the capacity performance estimation result of the to-be-scheduled user terminal in each beam domain space; and acquire the to-be-scheduled user terminal in each beam The weight information of the domain space is downlink data transmission according to the weight information.
The apparatus of claim 6, further comprising a modeling module configured to acquire a system model of the current base station before acquiring downlink channel estimation information of the user terminal to be scheduled, the system model comprising an active antenna plane array of the base station The number of antenna elements in the horizontal and vertical directions is N h and N v respectively, and there are K user terminals to be scheduled in the cell, wherein each user terminal has N r antennas, and each user terminal k (1 ≤ k ≤ The downlink channel matrix of K) is
The emission correlation matrix is
And constructing, according to the system model, a beam domain mapping matrix, where the current base station includes N=N az ×N el beam domain mapping matrices, where N az and Neel are the number of horizontal and vertical beam domain mapping matrices, respectively.
The apparatus of claim 6 or 7, wherein the computing module is configured to:

Calculating the weight vector of the user terminal k on the nth beam domain mapping matrix

Where a i is
The i-th element in ;

Calculation
The sum of the elements in the middle is not less than the minimum number of elements of η (0 < η ≤ 1)

among them,
Indicates that the selected element is
The set of locations in, M is the number of selected elements;

Selecting user terminal k in the nth beam domain space After the indicated beam, estimate its signal to interference ratio

Estimate its capacity when there is no noise

Calculate the average capacity of the user terminal k in each selected beam direction
Build collection
The average beam capacity of the nth beam domain space is selected for all users, and the set C={C 1 C 2 ... C N } is established as the average beam capacity of all users in all beam directions.
The apparatus of claim 8, wherein the scheduling module is configured to search for a largest element in set C
That is, the average beam capacity of the user p in the mth beam domain space; the user terminal p is added to the scheduling user set of the mth beam domain space K m =K m ∪{p}; all the users C in the set C are related to the user terminal p The element is deleted, searching for the same user in the mth beam field space as the selected beam of the user terminal p, and deleting the element associated with it from the subset C m in the set C.
The apparatus according to claim 9, wherein the scheduling module is configured to transmit by using the same time-frequency resource for user terminals in the same beam domain space; and for overlapping users in different beam domain spaces, using no overlapping Time-frequency resources are transmitted.
A communication system comprising a base station, the base station providing an active antenna plane array; the base station further comprising the user terminal scheduling apparatus according to any one of claims 6 to 10.
A computer readable storage medium storing computer executable instructions arranged to perform the method of any of claims 1-5.