WO2017008257A1

WO2017008257A1 - Wave beam scheduling method and relevant device

Info

Publication number: WO2017008257A1
Application number: PCT/CN2015/084005
Authority: WO
Inventors: 黄磊; 李宏
Original assignee: 华为技术有限公司
Priority date: 2015-07-14
Filing date: 2015-07-14
Publication date: 2017-01-19

Abstract

Provided is a scheduling method for reducing wave beam interference in a station. The method comprises: receiving channel quality information sent by each candidate scheduling user equipment (UE); calculating a proportional fairness factor of each candidate scheduling user equipment (UE); selecting a target scheduling UE according to the proportional fairness factor of each candidate scheduling user equipment (UE); and selecting a scheduling wave beam for the target scheduling UE according to the channel quality information. The wave beam scheduling method provided in the present invention can be applied to a high frequency communication system, and can reduce wave beam interference and improve communication quality.

Description

Beam scheduling method and related equipment

Technical field

Embodiments of the present invention relate to the field of communications technologies, and, more particularly, to a beam scheduling method and related devices.

Background technique

With the ever-increasing demands for data transmission rates, communication qualities, and the like for mobile communications today, existing frequency bands for mobile communications have become very crowded. However, in the millimeter-wave band of 6-300 GHz, a large amount of spectrum resources are still not allocated. Introducing the millimeter wave band into cellular access communication and making full use of the large bandwidth resources of the millimeter wave band is one of the important research directions of the next generation 5G mobile communication technology.

In the existing research, the high frequency band represented by the millimeter wave band is mainly used in indoor short-range communication scenarios. In outdoor scenes, due to its complex terrain, high path loss in high frequency bands, weak ability to penetrate obstacles, and severe rain attenuation at certain frequency points, the application of high frequency bands in outdoor scenes is severely restricted. However, due to its short wavelength, the high frequency band is easy to implement a large-scale array antenna, and can achieve a large antenna gain by beam-forming technology, thereby effectively compensating for its high path loss, which is also a high frequency band in an outdoor scene. The application of medium to long distance transmission offers the possibility.

In order to obtain a high antenna gain, the beam width formed by it is necessarily narrow. For example, at a frequency of 28 GHz, the beam width is about 7 degrees, and at a frequency of 72 GHz, the beam width is about 3 degrees. In order to enable full coverage in a cell, the cell coverage may be pre-divided into N (eg, 64) beam coverage areas, and any beam coverage area corresponds to a fixed beam.

In a high-frequency system, to cover all areas at the same time, the base station needs to simultaneously emit N beams, which is unacceptable in high-frequency system design considering factors such as size, power consumption, complexity, and cost. A feasible design is to fix M (for example: 4) beams at the same time, adjust the beam pointing by time division, and achieve full coverage of the equivalent area. Based on the foregoing implementation scheme, there is a problem in which M (M is a positive integer smaller than N, for example, 4) beams are scheduled at a certain time to achieve optimal system capacity. The most intuitive scheduling mode is the Round-Robin mode, that is, N beams are scheduled to be rotated in time according to a certain logical sequence. Through system simulation, it can be found that the polling method is used to schedule the beam, and the interference problem is very large. For 28 GHz systems, the interference caused the system performance to fall back by nearly 20 dB, and the 72 GHz system is slightly better, but its interference also leads to the system. The system performance has been backed out by 10dB.

Further, through analysis, it is found that the interference suffered by the user equipment is mainly from the same service high-frequency small station, 84% of the interference for the 28 GHz system is the intra-station interference, and 98% of the interference for the 72 GHz system is the intra-station interference. The intra-station interference includes the interference caused by the simultaneously scheduled beams in the same cell, and also includes the interference caused by the beams scheduled by different cells in the same small station.

Summary of the invention

Embodiments of the present invention provide a beam scheduling method and related equipment, which can reduce beam interference of a high frequency communication system.

A beam scheduling method, comprising: receiving channel quality information sent by each candidate scheduling user equipment UE; calculating a proportional fairness factor of each candidate scheduling user equipment UE; and selecting a target according to a proportional fairness factor of each candidate scheduling UE Scheduling the UE; and selecting a scheduling beam for the target scheduling UE according to the channel quality information.

Further, the calculating a fairness factor of each candidate user equipment UE specifically includes:

According to the formula

Calculating a proportional fairness factor of the user equipment k;

Where R _k (t) is the throughput at which the user equipment k can be scheduled at the current time t,

The average throughput obtained by the user equipment k for a predetermined period of time before the time t.

Further, the selecting the target scheduling UE according to the proportional fairness factor of each candidate scheduling UE specifically includes:

The user equipment with the largest proportional fairness factor f _k (t) is selected as the target scheduling user equipment.

Further, the channel quality information includes at least one of the following information: a useful signal strength received by the candidate scheduling user equipment, an interference signal strength of the scheduled beam to the schedulable user equipment corresponding to the schedulable beam, and a signal to interference and noise ratio.

Further, the step of selecting the scheduling target scheduling beam according to the channel quality information specifically includes:

According to the formula

Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b _i to its corresponding schedulable user equipment u _i is expressed as

The interference signal strength of the schedulable user equipment u _i corresponding to the schedulable beam b _i of the beam b _k in the scheduled beam set B is expressed as

b _k ∈B; N ₀ is the noise value received by the schedulable user equipment u _i .

Further, the channel quality information includes at least one of the following information: a useful signal strength received by the candidate scheduling user equipment, an interference signal strength of the schedulable beam to the scheduled user equipment corresponding to the scheduled beam, and a signal to noise ratio.

According to the formula

Selecting a beam for scheduling;

The schedulable beam b _i represents the interference signal strength of the user equipment u _k corresponding to the scheduled beam b _k as

A network side device, comprising: a receiving unit, configured to receive channel quality information sent by each candidate scheduling user equipment UE; a calculating unit, configured to calculate a proportional fairness factor of each candidate scheduling user equipment UE; and a selecting unit, configured to use each The proportional fairness factor of the candidate scheduling UE selects the target scheduling UE; and the scheduling unit schedules the UE scheduling beam for the target according to the channel quality information.

Further, the calculation unit is based on a formula

Calculating a proportional fairness factor of the user equipment k;

Further, the selecting unit is specifically configured to: select a user equipment with a maximum proportional fairness factor f _k (t) as a target scheduling user equipment.

Further, the channel quality information includes at least one of the following information: candidate scheduling user setting The useful signal strength of the standby, the interference signal strength of the schedulable user equipment corresponding to the schedulable beam of the scheduled beam pair, and the signal to interference and noise ratio.

Further, the scheduling unit is specifically configured to:

According to the formula

Selecting a beam for scheduling;

Further, the scheduling unit is specifically configured to:

According to the formula

Selecting a beam for scheduling;

A beam scheduling method includes: calculating, by a cell, a proportional fairness factor for a schedulable user equipment; feeding back a user equipment ID having a maximum proportional fairness factor in each beam and a proportional fairness factor value thereof to a beam scheduling function entity; and performing cell beam scheduling function The entity feeds back the received signal measurement information of the user equipment; the beam scheduling function entity performs beam scheduling according to the measurement information.

Further, the calculating, by the cell, a proportional fairness factor for the schedulable user equipment includes:

According to the formula

Calculating a proportional fairness factor of the user equipment k;

Further, the signal measurement information includes at least one of the following information: a useful signal strength received by the candidate scheduling user equipment, an interference signal strength of the scheduled beam to the schedulable user equipment corresponding to the schedulable beam, and a signal to interference and noise ratio.

According to the formula

Selecting a beam for scheduling;

According to the formula

Selecting a beam for scheduling;

In the foregoing technical solution, selecting a scheduling user equipment by using a proportional fairness factor can ensure fairness of scheduling of a certain user equipment, and selecting a scheduling beam for the user equipment according to channel quality information, thereby helping to reduce intra-station interference in the high-frequency small station and improving Communication quality.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will be BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in the drawings These figures take additional drawings.

1 is a schematic diagram of cell division of a high frequency station in accordance with an embodiment of the present invention.

2 is a signaling flowchart of a beam scheduling method in Embodiment 3 of the present invention.

FIG. 3 is a flowchart of a beam scheduling method in Embodiment 4 of the present invention.

4 is a functional block diagram of a network side device in Embodiment 4 of the present invention.

FIG. 5 is a schematic diagram of the composition of a network side device in Embodiment 4 of the present invention.

FIG. 6 is a flowchart of a beam scheduling method in Embodiment 5 of the present invention.

7 to 10 are simulation diagrams of system performance in an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

The invention provides a beam scheduling method capable of reducing beam interference in a station. In an embodiment, an application scenario is shown in FIG. 1 . Figure 1 provides a schematic of a high frequency station. Due to the high frequency of the millimeter wave band, a single antenna system cannot achieve omnidirectional coverage, and even wide area coverage is difficult to achieve. Therefore, omnidirectional coverage is achieved by dividing K (for example, K=6) cells (such as cell ₁ , cell ₂ , cell ₃ , cell ₄ , cell ₅ , and cell ₅ ) on a high frequency station. In any cell of the high frequency station, a high frequency antenna array and a corresponding medium RF system are provided. The antenna beam direction can be adjusted by adjusting the parameters of the high frequency antenna. The high frequency antenna array consists of M (eg, M=4) antenna subarrays. Each sub-array can form a single beam. That is, each cell can simultaneously send M beams to serve M user equipments.

Since the beam width generated by the high frequency antenna is narrow, for example, at a frequency of 28 GHz, the beam width is about 7 degrees, and at a frequency of 72 GHz, the beam width is about 3 degrees. The above M beams cannot cover the entire area of one cell. Therefore, the coverage space of the entire cell may be divided into N subspaces according to the beam width, and each subspace is covered by one beam, where N is an integer not less than M. The scheduling module of each cell schedules the user equipments in the M beam coverage according to the relevant algorithm, and implements data transmission between the high frequency small station and the user equipment. Pass The simulation test shows that the method of separately scheduling the beams in each cell will cause serious intra-station interference, and the beams of other cells in the same high-frequency small station will seriously interfere with the beam in the cell currently scheduled by the user equipment. Therefore, it is necessary to perform centralized beam scheduling on a high frequency station.

In order to realize centralized beam scheduling on the high-frequency station, a beam scheduling function entity BSE (Beam Scheduling Entity) can be introduced on the high-frequency station. The beam scheduling function entity performs a beam scheduling algorithm to coordinate beam scheduling in multiple cells in the high frequency station.

Embodiment 1 of the present invention:

Calculate the proportional fairness factor f of the user equipment k connected to the high frequency station at the scheduling time t according to the following formula:

For a period of time before time t, such as the previous 10 ms (microseconds) of time t, the average throughput obtained by user equipment k.

The beam scheduling function entity BSE sorts the proportional fair factors of all user equipments in the coverage of the high-frequency station, and selects the user equipment u _{0 with the} highest proportion fairness factor as the initial scheduling user equipment. In the embodiment of the present invention, all user equipments have already performed cell and beam selection by default, and any user equipment has a unique beam corresponding thereto. U ₀ is selected the user equipment, the user equipment may select the appropriate beam u ₀ b ₀ as the initial schedule beam. The scheduled beam set B can be expressed as:

B={b ₀ }

Each cell selects a user device with a proportional fair sub-maximum as the schedulable user device of the current beam in each schedulable beam. For example, if there are multiple user devices in the coverage of a schedulable beam, the user with the largest proportional fairness factor is selected. The device acts as a schedulable user equipment of the schedulable beam; the user equipment with the largest proportion of fairness factor may also be in the overlapping area of two or more beams.

It is assumed that the schedulable user equipment corresponding to the schedulable beam b _i is u _i . The useful signal strength of the schedulable beam b _i to its corresponding schedulable user equipment u _i is expressed as

The interference signal strength of the schedulable user equipment u _i corresponding to the schedulable beam b _i of the beam b _k within the scheduled beam set is expressed as

Where b _k ∈ B, i is the index number of the schedulable beam or schedulable user equipment, and k is the index number of the scheduled beam. The scheduling beam b _i can be selected according to the following objective function.

among them,

For a schedulable beam set, b _i belongs to a schedulable beam set

The beam in the middle, N ₀ is the noise value received by the schedulable user equipment u _i . The value of i can be calculated by using the objective function, so that the beam b _i is selected for scheduling, so that the user equipment u _i can obtain a better Signal to Interference and Noise Ratio (SINR). After determining the optimal scheduling beam b _i of the user equipment u _i , the corresponding beam set is updated:

B=B∪{b _i }

Wherein, the modulated beam set B is added with a beam b _i , and the steerable beam set is

The beam b _i that has been scheduled is removed.

It is determined whether the number of scheduled beams of the cell where the beam b _i is located reaches the upper limit M. If the upper limit is not reached, the beam scheduling process is repeated, and if the upper limit has been reached, the schedulable beam set is updated again:

Where C _i is the cell where the scheduling beam b _i is located,

It is a set of schedulable beams in the cell C _i . It is determined whether the number of scheduled beams of all cells reaches the upper limit M. If the upper limit is not reached, the beam scheduling process is repeated. If the upper limit has been reached, the scheduling process ends. The beam in the scheduling beam set B is the beam that needs to be scheduled this time.

Embodiment 2 of the present invention:

Firstly, according to the following formula, the proportional fairness factor f of the user equipment k connected to the high-frequency station at the scheduling time t is calculated:

B={b ₀ }

Each cell selects a user equipment with the largest proportional fairness factor as the schedulable user equipment of the current beam in each schedulable beam. For example, if there are multiple user equipments in the coverage of a schedulable beam, the user with the largest proportion fairness factor is selected. The device acts as a schedulable user equipment of the schedulable beam; the user equipment with the largest proportion of fairness factor may also be in the overlapping area of two or more beams.

The interference signal strength of the schedulable beam b _i to the scheduled user equipment u _k is expressed as

Where b _k ∈ B, the schedulable user equipment corresponding to the beam b _k is u _k , i is the index number of the schedulable beam or the schedulable user equipment, and k is the index number of the scheduled beam or the scheduled user equipment. The scheduling beam b _i can be selected according to the following objective function.

among them,

For a schedulable beam set, b _i belongs to a schedulable beam set

The beam in the middle. The objective function can be used to calculate the value of i, so that the beam b _i is selected for scheduling, so that the user equipment u _i can obtain a better signal to noise and noise ratio (SLNR).

After determining the optimal scheduling beam b _i of the user equipment u _i , updating the corresponding beam set:

B=B∪{b _i }

The removal has been scheduled b _i .

Where C _i is the cell where the scheduling beam b _i is located,

The set of beams that have been scheduled in cell C _i . It is determined whether the number of scheduled beams of all cells reaches the upper limit M. If the upper limit is not reached, the beam scheduling process is repeated. If the upper limit has been reached, the scheduling process ends. Dispatched beam set

The beam in the middle is the beam that needs to be scheduled.

Embodiment 3 of the present invention:

Referring to FIG. 2, in order to support the algorithms in Embodiments 2 and 3, the beam scheduling function entity BSE needs to acquire signal strength information of the transmission beam to the corresponding scheduling user equipment. The acquisition of signal strength information can be obtained by the following signaling procedure.

Step 1: The user equipment detects the measurement signals sent by the beams in the plurality of cells in the high frequency small station, and records the strength of the received measurement signals.

Step 2: The user equipment quantizes the measured signal strengths of the received multiple beams, and feeds back to the corresponding cell by using uplink signaling.

Step 3: Calculate a proportional fairness factor of the schedulable user equipment in the cell, and feed back the user equipment ID (Identification) and the proportional fairness factor value of each of the intra-beam proportional fairness factors to the beam scheduling function entity. In the embodiment of the present invention, the high-frequency base station system includes multiple (for example, six) co-located cells, each of which is equivalent to one sub-base station, and can calculate the proportion of schedulable user equipment in the cell. Fairness factor; the high-frequency base station system can also uniformly calculate the proportional fairness factor of schedulable user equipment within its coverage.

Step 4: The cell feeds back the measured signal strength information of the user equipment to the beam scheduling function entity.

Step 5: The beam scheduling function entity BSE performs beam scheduling according to the algorithm in Embodiment 1 or 2.

In step 6, the beam scheduling function entity notifies each cell of the scheduling result.

In the embodiment of the present invention, the beam scheduling function entity BSE may be disposed in a certain cell, or may be disposed in parallel with each cell in the high frequency base station system. Each cell and BSE are part of a high frequency base station system.

The beam scheduling method provided by the embodiment of the present invention ensures fairness by selecting an initial user equipment and selecting a scheduling user equipment in each beam, and performing centralized scheduling on beams of multiple cells in the small station to make the selected beam Interference is small.

Embodiment 4:

Referring to FIG. 3, in conjunction with the foregoing embodiment, a fourth embodiment of the present invention provides a scheduling method for reducing intra-station beam interference, including:

S11: The network side device receives channel quality information sent by each candidate scheduling user equipment UE. The network measurement equipment may be a high frequency small station, and the high frequency small station may achieve omnidirectional by dividing K (for example, K=6) cells. cover. The high-frequency station includes a beam scheduling function entity BSE (Beam Scheduling Entity), and the beam scheduling function entity performs a beam scheduling algorithm to coordinate beam scheduling in multiple cells in the high-frequency station. The channel quality information may include: a useful signal strength received by the candidate scheduling user equipment, an interference signal strength of the schedulable user equipment corresponding to the schedulable beam of the scheduled beam, a signal to interference and noise ratio, and a schedulable beam corresponding to the scheduled beam. One or more of the interference signal strength, the information leakage noise ratio, and the like of the scheduled user equipment;

S12: The network side device calculates a proportional fairness factor of each candidate scheduling user equipment UE. The calculating a fairness factor of each candidate user equipment UE specifically includes: according to a formula

Calculating a proportional fairness factor of the user equipment k; wherein R _k (t) is a throughput at which the user equipment k can be scheduled at the current time t,

The average throughput obtained by the user equipment k for a predetermined period of time before the time t;

S13: The network side device selects a target scheduling UE according to a proportional fairness factor of each candidate scheduling UE. The selecting the target scheduling UE according to the proportional fairness factor of each candidate scheduling UE specifically includes: selecting a user equipment with the largest proportional fairness factor f _k (t) as the target scheduling user equipment;

S14: Select a scheduling beam for the target scheduling UE according to the channel quality information.

In combination with the foregoing Embodiment 1, the step of selecting a scheduling target scheduling beam according to the channel quality information specifically includes:

According to the formula

Selecting a beam for scheduling;

b _k ∈B; N ₀ is the noise value may schedule a user equipment received by u _i, u _i to the user equipment selected by the beam b _i is scheduled set of beams

CITIC has better noise and better beam.

With the foregoing embodiment 2, the step of selecting the scheduling target scheduling beam according to the channel quality information specifically includes:

According to the formula

Selecting a beam for scheduling;

Referring to FIG. 4, a network side device 100 includes:

The receiving unit 101 is configured to receive channel quality information sent by each candidate scheduling user equipment UE. The channel quality information may include: a useful signal strength received by the candidate scheduling user equipment, and a schedulable user equipment corresponding to the schedulable beam of the scheduled beam pair. Interference signal strength, signal to interference and noise ratio, interference signal strength, signal leakage noise ratio, etc. of the scheduled user equipment corresponding to the scheduled beam to the scheduled beam;

The calculating unit 102 is configured to calculate a proportional fairness factor of each candidate scheduling user equipment UE; the calculating unit 102 is according to a formula

Calculating a proportional fairness factor of the user equipment k;

The selecting unit 103 is configured to select a target scheduling UE according to a proportional fairness factor of each candidate scheduling UE. The selecting unit 102 is specifically configured to: select a user equipment with a maximum proportional fairness factor f _k (t) as a target scheduling user equipment;

The scheduling unit 104 schedules the UE scheduling beam for the target according to the channel quality information.

In conjunction with the foregoing embodiment 1, the scheduling unit 104 may be specifically configured to:

According to the formula

Selecting a beam for scheduling;

CITIC has better noise and better beam.

In conjunction with the foregoing embodiment 2, the scheduling unit 104 may also be specifically configured to:

According to the formula

Selecting a beam for scheduling;

The CITIC leakage noise is better.

FIG. 5 is a schematic block diagram of a network side device 200 according to an embodiment of the present invention. The network side device 200 may include a receiving unit 201, a transmitting unit 202, a processor 203, and a memory 204.

The receiving unit 201 can be configured to receive an uplink signal; the sending unit 202 can be configured to send a downlink signal.

Specifically, the receiving unit 201 may be configured to receive channel quality information sent by each candidate scheduling user equipment UE, where the channel quality information may include: a wanted signal strength received by the candidate scheduling user equipment, and a scheduled beam corresponding to the schedulable beam. The interference signal strength of the user equipment, the signal to interference and noise ratio, the interference signal strength of the schedulable beam to the scheduled user equipment corresponding to the scheduled beam, the information leakage noise ratio, and the like;

The processor 203 is configured to perform the following operations:

Calculating a proportional fairness factor of each candidate scheduling user equipment UE;

Selecting a target scheduling UE according to a proportional fairness factor of each candidate scheduling UE; for example, selecting a user equipment with a largest proportional fairness factor f _k (t) as a target scheduling user equipment;

Scheduling a UE scheduling beam for the target according to the channel quality information.

In combination with the foregoing embodiment 1, the processor 203 may be specifically configured to:

According to the formula

Selecting a beam for scheduling;

CITIC has better noise and better beam.

In combination with the foregoing embodiment 2, the processor 203 is further specifically configured to:

According to the formula

Selecting a beam for scheduling;

b _k ∈B; noise value N is received by the UE, user equipment u _i b _i is selected by the beam may be scheduled set of beams

The CITIC leakage noise is better.

The memory 204 can be used to store data and programs required by the processor 203 to perform the operations described above.

The processor 901 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the foregoing method may be completed by an integrated logic circuit of hardware in the processor 901 or an instruction in a form of software. The processor 901 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), or a Field Programmable Gate Array (FPGA). ) or other programmable logic devices, discrete gates or transistor logic devices, Discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present invention may be implemented or carried out. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present invention may be directly implemented by the hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software module can be located in a random access memory (RAM), a flash memory, a read-only memory (ROM), a programmable read only memory or an electrically erasable programmable memory, a register, etc. In the storage medium. The storage medium is located in the memory 903, and the processor 901 reads the instructions in the memory 903 and completes the steps of the above method in combination with its hardware.

Embodiment 5:

Referring to FIG. 6, in conjunction with the foregoing embodiment, a fifth embodiment of the present invention provides a scheduling method for reducing intra-station beam interference, including:

S21: The cell calculates a proportional fairness factor for the schedulable user equipment, and the calculating, by the cell, the proportional fairness factor for the schedulable user equipment, specifically:

According to the formula

Calculating a proportional fairness factor of the user equipment k;

S22: The user equipment ID with the largest proportion of the fairness factor in each beam and its proportional fairness factor value are fed back to the beam scheduling function entity;

S23: The cell feeds back the received signal measurement information of the user equipment to the beam scheduling function entity. The measurement information may include: a useful signal strength received by the candidate scheduling user equipment, and a schedulable user equipment corresponding to the schedulable beam of the scheduled beam. Interference signal strength, signal to interference and noise ratio, interference signal strength, signal leakage noise ratio, etc. of the scheduled user equipment corresponding to the scheduled beam;

S24: A beam scheduling function entity performs beam scheduling according to the measurement information.

With the above-mentioned first embodiment, the step of selecting the scheduling target scheduling beam according to the channel quality information may specifically include:

According to the formula

Selecting a beam for scheduling;

CITIC has better noise and better beam.

In combination with the foregoing Embodiment 2, the step of selecting the scheduling target scheduling beam according to the channel quality information may further include:

According to the formula

Selecting a beam for scheduling;

The CITIC leakage noise is better.

The system performance can be significantly improved by using the beam scheduling algorithm in the above embodiment of the present invention. The specific simulation comparison diagram is shown in FIGS. 7-10. Figures 7-10 show the performance of the proposed algorithm in the 28 GHz system and the 72 GHz system, respectively.

Figure 7 shows the spectral efficiency comparison of the 28 GHz system. It can be found that the algorithm proposed by the present invention has nearly 120% performance improvement corresponding to the baseline polling algorithm.

FIG. 8 is a comparison of edge spectral efficiency of a 28 GHz system. It can be found that the SINR-based algorithm proposed by the present invention can achieve 50% edge spectral efficiency improvement, and the SLNR-based algorithm can obtain 70% edge spectral efficiency improvement.

Figure 9 is a comparison of the spectral efficiency of the 72 GHz system. It can be found that the algorithm proposed by the present invention has nearly 70% performance improvement corresponding to the baseline polling algorithm.

Figure 10 shows the edge spectral efficiency comparison of the 72 GHz system. It can be found that the proposed algorithm can achieve 250% edge spectral efficiency improvement.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or in computer software and electronic hardware. Come together to achieve. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily within the technical scope disclosed by the present invention. All changes and substitutions are contemplated to be within the scope of the invention, and the scope of the invention should be determined by the scope of the claims.

Claims

A beam scheduling method, the method comprising:

Receiving channel quality information sent by each candidate scheduling user equipment UE;

Calculating a proportional fairness factor of each candidate scheduling user equipment UE;

Selecting a target scheduling UE according to a proportional fairness factor of each candidate scheduling UE; and

And selecting, according to the channel quality information, a scheduling beam for the target scheduling UE.
The method according to claim 1, wherein the calculating a proportional fairness factor of each candidate user equipment UE comprises:

According to the formula
Calculating a proportional fairness factor of the user equipment k;

Where R k (t) is the throughput at which the user equipment k can be scheduled at the current time t,
The average throughput obtained by the user equipment k for a predetermined period of time before the time t.
The method according to claim 2, wherein the selecting the target scheduling UE according to the proportional fairness factor of each candidate scheduling UE specifically includes:

The user equipment with the largest proportional fairness factor f k (t) is selected as the target scheduling user equipment.
The method according to any one of claims 1 to 3, wherein the channel quality information includes at least one of the following: a useful signal strength received by the candidate scheduling user equipment, and a corresponding scheduled beam pair schedulable beam The interference signal strength and the signal to interference and noise ratio of the user equipment are scheduled.
The method of claim 4, wherein the step of selecting a scheduling target scheduling beam according to channel quality information specifically includes:

According to the formula
Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b i to its corresponding schedulable user equipment u i is expressed as
The interference signal strength of the schedulable user equipment u i corresponding to the schedulable beam b i of the beam b k in the scheduled beam set B is expressed as
b k ∈B; N 0 is the noise value received by the schedulable user equipment u i .
Method according to any of the claims 1-3, characterized in that the channel quality The information includes at least one of the following information: a useful signal strength received by the candidate scheduling user equipment, an interference signal strength of the schedulable beam to the scheduled user equipment corresponding to the scheduled beam, and a signal to noise ratio.
The method of claim 6, wherein the step of selecting a scheduling target scheduling beam according to channel quality information specifically includes:

According to the formula
Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b i to its corresponding schedulable user equipment u i is expressed as
The schedulable beam b i represents the interference signal strength of the user equipment u k corresponding to the scheduled beam b k as
b k ∈B; N 0 is the noise value received by the schedulable user equipment u i .
A network side device, where the network side device includes:

a receiving unit, configured to receive channel quality information sent by each candidate scheduling user equipment UE;

a calculating unit, configured to calculate a proportional fairness factor of each candidate scheduling user equipment UE;

a selecting unit, configured to select a target scheduling UE according to a proportional fairness factor of each candidate scheduling UE; and

And a scheduling unit, scheduling the UE scheduling beam for the target according to the channel quality information.
The network side device according to claim 8, wherein said calculating unit is based on a formula
Calculating a proportional fairness factor of the user equipment k;

Where R k (t) is the throughput at which the user equipment k can be scheduled at the current time t,
The average throughput obtained by the user equipment k for a predetermined period of time before the time t.
The network side device according to claim 9, wherein the selecting unit is specifically configured to:

The user equipment with the largest proportional fairness factor f k (t) is selected as the target scheduling user equipment.
The network side device according to any one of claims 8 to 10, wherein the channel quality information includes at least one of the following: a useful signal strength received by the candidate scheduling user equipment, and a scheduled beam pair schedulable beam corresponding to The interference signal strength and the signal to interference and noise ratio of the schedulable user equipment.
The network side device according to claim 11, wherein the scheduling unit is specifically configured to:

According to the formula
Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b i to its corresponding schedulable user equipment u i is expressed as
The interference signal strength of the schedulable user equipment u i corresponding to the schedulable beam b i of the beam b k in the scheduled beam set B is expressed as
b k ∈B; N 0 is the noise value received by the schedulable user equipment u i .
The network side device according to any one of claims 8 to 10, wherein the channel quality information includes at least one of the following information: a useful signal strength received by the candidate scheduling user equipment, and a schedulable beam pair corresponding to the scheduled beam. The interference signal strength and the signal to noise ratio of the scheduled user equipment.
The network side device according to claim 13, wherein the scheduling unit is specifically configured to:

According to the formula
Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b i to its corresponding schedulable user equipment u i is expressed as
The schedulable beam b i represents the interference signal strength of the user equipment u k corresponding to the scheduled beam b k as
b k ∈B; N 0 is the noise value received by the schedulable user equipment u i .
A beam scheduling method includes:

The cell calculates a proportional fairness factor for the schedulable user equipment;

And feeding back, to the beam scheduling function entity, the user equipment ID with the largest proportion of the fairness factor in each beam and the proportional fairness factor value thereof;

The cell feeds back the received signal measurement information of the user equipment to the beam scheduling function entity;

The beam scheduling function entity performs beam scheduling according to the measurement information.
The method according to claim 15, wherein the calculating, by the cell, a proportional fairness factor for the schedulable user equipment comprises:

According to the formula
Calculating a proportional fairness factor of the user equipment k;

Where R k (t) is the throughput at which the user equipment k can be scheduled at the current time t,
The average throughput obtained by the user equipment k for a predetermined period of time before the time t.
The method according to any one of claims 15-16, wherein the signal measurement information includes at least one of the following: a useful signal strength received by the candidate scheduling user equipment, and a corresponding position of the scheduled beam pair schedulable beam The interference signal strength and the signal to interference and noise ratio of the user equipment are scheduled.
The method of claim 17, wherein the step of selecting a scheduling target scheduling beam according to channel quality information specifically includes:

According to the formula
Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b i to its corresponding schedulable user equipment u i is expressed as
The interference signal strength of the schedulable user equipment u i corresponding to the schedulable beam b i of the beam b k in the scheduled beam set B is expressed as
b k ∈B; N 0 is the noise value received by the schedulable user equipment u i .
The method according to any one of claims 15-16, wherein the channel quality information includes at least one of the following: a useful signal strength received by the candidate scheduling user equipment, and a schedulable beam corresponding to the scheduled beam. The interference signal strength and the signal to noise ratio of the user equipment are scheduled.
The method of claim 19, wherein the step of selecting a scheduling target scheduling beam according to the channel quality information comprises:

According to the formula
Selecting a beam for scheduling;

Wherein, the useful signal strength of the schedulable beam b i to its corresponding schedulable user equipment u i is expressed as
The schedulable beam b i represents the interference signal strength of the user equipment u k corresponding to the scheduled beam b k as
b k ∈B; N 0 is the noise value received by the schedulable user equipment u i .