CN117528814A

CN117528814A - Communication resource scheduling method and device based on millimeter waves

Info

Publication number: CN117528814A
Application number: CN202311620117.5A
Authority: CN
Inventors: 陈沫; 熊彬
Original assignee: Asmet Chengdu Technology Co ltd; Smart Dust Shanghai Communication Technology Co ltd
Current assignee: Asmet Chengdu Technology Co ltd; Smart Dust Shanghai Communication Technology Co ltd
Priority date: 2023-11-30
Filing date: 2023-11-30
Publication date: 2024-02-06

Abstract

When the number of scheduling users in an acquired scheduling user set is 1, scheduling judgment is carried out on the acquired full-array measuring information of the scheduling users, so as to obtain a judgment result; when the judgment result is that the full array is sent, acquiring full array configuration information of the head end, acquiring optimal beam information in full array measurement information, determining a first weight coefficient according to the optimal beam information, and sending the full array configuration information and the first weight coefficient to a target node for resource scheduling; when the judgment result is that the subarray is transmitted, acquiring an air interface channel of a scheduling user and a head end, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and transmitting the subarray configuration information and the second weight coefficient to a target node for resource scheduling; compared with the prior art, the technical scheme of the invention can improve the user perception rate by improving the resource scheduling efficiency.

Description

Communication resource scheduling method and device based on millimeter waves

Technical Field

The invention relates to the technical field of NR millimeter waves, in particular to a communication resource scheduling method and device based on millimeter waves.

Background

In millimeter wave communication, a large-scale multiple input multiple output (Massive MIMO) system is used to solve the problem of propagation distance, but expensive cost and high power consumption are caused; in a common MIMO system, an independent radio frequency link is required to be connected to each antenna, including devices such as an amplifier, a mixer, a filter, an ADC/DAC, etc., so that in the millimeter wave band, the cost and power consumption of these devices are significantly increased, resulting in unacceptable cost and power consumption;

in order to solve the above technical problems, a method of reducing the number of radio frequency links is generally adopted in the prior art, and a large-scale antenna array is reserved, wherein each radio frequency link is connected with a plurality of antennas through a plurality of Phase shifters (Phase shifters) to form a narrow beam; compared with a complete radio frequency link, the phase shifter is much cheaper in cost and much lower in power consumption; this structure is called a mixed modulus structure.

Hybrid beamforming is a combination of analog and digital beamforming techniques, one limitation of this approach is that all digital beams are contained within the field of view of the sub-array pattern, as compared to all digital beamforming; the sub-array analog beams can be controlled, but at some point the width of the analog beam will limit the pointing direction of the final beam; in practical mmwave cell scheduling allocation, the number of the radio frequency links is limited, so that the resource scheduling efficiency and the perceived rate are low.

Disclosure of Invention

The invention aims to solve the technical problems that: the communication resource scheduling method and device based on millimeter waves can improve the user perception rate by improving the resource scheduling efficiency.

In order to solve the technical problems, the invention provides a communication resource scheduling method based on millimeter waves, which comprises the following steps: selecting a dispatching user set from a dispatching queue, and acquiring the dispatching user number in the dispatching user set;

when the number of the scheduled users is 1, acquiring full-array measuring information of the scheduled users, and performing scheduling judgment on the full-array measuring information to obtain a judgment result;

when the judging result is that the whole array is sent, acquiring whole array configuration information in a head end, acquiring optimal beam information in the whole array measurement information, determining a first weight coefficient according to the optimal beam information, and sending the whole array configuration information and the first weight coefficient to a target node so that the target node performs resource scheduling according to the array configuration information and the first weight coefficient;

when the judgment result is that the subarray is sent, acquiring an air interface channel of the scheduling user and the head end, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and sending the subarray configuration information and the second weight coefficient to a target node so that the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient.

In one possible implementation manner, the method includes obtaining full-array measurement information of a scheduling user, performing scheduling judgment on the full-array measurement information to obtain a judgment result, and specifically includes:

acquiring full-array measuring information of a scheduling user, wherein the full-array measuring information comprises channel quality, signal to noise ratio and signal to interference plus noise ratio;

simultaneously acquiring a channel quality threshold, a signal-to-noise ratio threshold and a signal-to-interference-and-noise ratio threshold;

comparing the channel quality with the channel quality threshold, comparing the signal to noise ratio with the signal to noise ratio threshold, and comparing the signal to interference noise ratio with the signal to interference noise ratio threshold;

if any signal-to-noise ratio is equal to the signal-to-noise ratio threshold, the signal-to-noise ratio is not less than the signal-to-noise ratio threshold or the signal-to-interference-and-noise ratio is not less than the signal-to-interference-and-noise ratio, determining that the judgment result is subarray transmission, otherwise, determining that the judgment result is full-array subarray transmission.

In one possible implementation manner, determining the optimal subarray and the second weight coefficient based on the air interface channel specifically includes:

initializing a signal-to-interference-and-noise ratio threshold, wherein the signal-to-interference-and-noise ratio threshold comprises a Gao Menxian signal-to-interference-and-noise ratio and a low threshold signal-to-interference-and-noise ratio;

Randomly selecting a plurality of first subarrays from all subarray sets, and acquiring subarray numbers corresponding to the plurality of first subarrays;

obtaining channel coefficients corresponding to the subarray numbers from the air interface channels, and constructing a channel matrix based on the channel coefficients; calculating an optimal weight corresponding to the channel matrix, calculating an equivalent signal-to-interference-and-noise ratio of a receiving end, adjusting the low-threshold signal-to-interference-and-noise ratio to be equivalent signal-to-interference-and-noise ratio when the equivalent signal-to-interference-and-noise ratio is larger than the low-threshold signal-to-interference-and-noise ratio and the equivalent signal-to-interference-and-noise ratio is smaller than the Gao Menxian signal-to-interference-and-noise ratio, generating a subarray number set based on all subarray numbers, otherwise, judging whether all subarray sets are traversed, if not, updating subarray numbers corresponding to the subarray sets, randomly selecting a plurality of first subarrays from all subarray sets again until all subarray sets are traversed, taking the current subarray number set as the optimal subarray set, and taking the current optimal weight as a second weight coefficient.

In a possible implementation manner, acquiring the air interface channels of the scheduling user and the head end specifically includes: performing full-wave beam measurement on the scheduling user to obtain a beam measurement result, wherein the beam measurement result comprises a channel measurement value of each beam;

Acquiring a beam weight corresponding to each beam, calculating channel information under each beam based on the beam weight and the channel measurement value, and acquiring total channel information under all beams based on the channel information;

and reconstructing air interface channels of the scheduling users and the head end based on the total channel information and the beam weight.

In one possible implementation manner, after obtaining the number of scheduled users in the scheduled user set, the method further includes: when the number of the dispatching users is larger than 1, defining a corresponding first subarray range for each dispatching user according to the position and angle information of the dispatching user and the head end;

and reconstructing second air interface channels of all scheduling users and the head end in the range of each first subarray, and determining a second optimal subarray and a third weight coefficient of each scheduling user based on the second air interface channels.

In one possible implementation manner, based on the second air interface channel, determining a second optimal subarray and a third weight coefficient of each scheduling user specifically includes:

scheduling the second air interface channel by taking the maximization of the system capacity as an objective function, and determining the second optimal subarray and the third weight coefficient of each scheduling user;

Wherein the objective function is as follows:

s.t.Map(SINR _i，b )＝Q _i ×CR _t ；

Map(W _i，b )＝L _i ；

wherein N is _UE In order to schedule the total number of users,number of Resources (RBs) allocated for scheduling user i, Q _i To schedule modulation order for user i, CR _i To schedule the code rate of user i, L _i Representing the number of scheduling streams, SINR, of scheduling user i _i，b To schedule the signal-to-noise ratio measured on beam b for user i, W _i，b To schedule the weights of user i on beam b.

In one possible implementation manner, after obtaining the number of scheduled users in the scheduled user set, the method further includes: when the number of the scheduled users is greater than 1, defining a corresponding second subarray range for each scheduled user based on optimal beam information in the full-array measuring information according to the full-array measuring information of the scheduled user;

and reconstructing a third air interface channel of all scheduling users and the head end in each second subarray range, and determining a third optimal subarray and a fourth weight coefficient of each scheduling user based on the third air interface channel.

The invention also provides a communication resource scheduling device based on millimeter waves, which comprises: the system comprises a scheduling user selection module, a scheduling judgment module, a full array sub-transmission module and a sub-array transmission module;

the scheduling user selection module is used for selecting a scheduling user set from a scheduling queue and acquiring the number of scheduling users in the scheduling user set;

The scheduling judgment module is used for acquiring the full-array measuring information of the scheduling user when the number of the scheduling users is 1, and carrying out scheduling judgment on the full-array measuring information to obtain a judgment result;

the full-array transmitting module is configured to acquire full-array configuration information in a head end and acquire optimal beam information in the full-array measurement information when the decision result is full-array transmission, determine a first weight coefficient according to the optimal beam information, and transmit the full-array configuration information and the first weight coefficient to a target node, so that the target node performs resource scheduling according to the array configuration information and the first weight coefficient;

and the subarray sending module is used for acquiring an air interface channel of the scheduling user and the head end when the judgment result is subarray sending, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and sending the subarray configuration information and the second weight coefficient to a target node so that the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient.

In one possible implementation manner, the scheduling decision module is configured to obtain full-array measurement information of a scheduling user, and perform scheduling decision on the full-array measurement information to obtain a decision result, and specifically includes:

In a possible implementation manner, the subarray sending module is configured to determine, based on the air interface channel, an optimal subarray and a second weight coefficient, and specifically includes:

In a possible implementation manner, the subarray sending module is configured to obtain air interface channels of the scheduling user and the head end, and specifically includes:

Performing full-wave beam measurement on the scheduling user to obtain a beam measurement result, wherein the beam measurement result comprises a channel measurement value of each beam;

The invention provides a communication resource scheduling device based on millimeter waves, which further comprises: a first multi-user scheduling processing module;

and the first multi-user scheduling processing module is used for defining a corresponding first subarray range for each scheduling user according to the position and angle information of the scheduling user and the head end when the number of the scheduling users is larger than 1, reconstructing second air interface channels of all the scheduling users and the head end in each first subarray range, and determining a second optimal subarray and a third weight coefficient of each scheduling user based on the second air interface channels.

In one possible implementation manner, the first multi-user scheduling processing module is configured to determine, based on the second air interface channel, a second optimal subarray and a third weight coefficient of each scheduling user, and specifically includes:

wherein the objective function is as follows:

s.t.Map(SINR _i，b )＝Q _i ×CR _i ；

Map(W _i，b )＝K _i ；

wherein N is _UE To schedule user totalThe number of the product is the number,number of Resources (RBs) allocated for scheduling user i, Q _i To schedule modulation order for user i, CR _i To schedule the code rate of user i, L _i Representing the number of scheduling streams, SINR, of scheduling user i _i，b To schedule the signal-to-noise ratio measured on beam b for user i, W _i，b To schedule the weights of user i on beam b.

The invention provides a communication resource scheduling device based on millimeter waves, which further comprises: a second multi-user scheduling processing module;

and the second multi-user scheduling processing module is used for defining a corresponding second subarray range for each scheduling user based on the optimal beam information in the full-array measuring information according to the full-array measuring information of the scheduling user when the number of the scheduling users is larger than 1, reconstructing third air interface channels of all the scheduling users and the head end in each second subarray range, and determining a third optimal subarray and a fourth weight coefficient of each scheduling user based on the third air interface channels.

The invention also provides a terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the millimeter wave based communication resource scheduling method according to any one of the above when executing the computer program.

The invention also provides a computer readable storage medium, which comprises a stored computer program, wherein when the computer program runs, equipment where the computer readable storage medium is located is controlled to execute the millimeter wave-based communication resource scheduling method according to any one of the above.

Compared with the prior art, the communication resource scheduling method and device based on millimeter waves have the following beneficial effects:

when only one user in the scheduling user set is scheduled, the full array measurement information is directly acquired and scheduling judgment is carried out, so that the calculation cost and time delay in the scheduling process can be reduced, and the resource scheduling efficiency is improved; when the judgment result is that the full array is transmitted, the first weight coefficient is determined by utilizing the full array configuration information and the optimal beam information of the head end and is transmitted to the target node; thus, the target node can perform resource scheduling according to the full-array configuration information and the first weight coefficient; the high directional characteristic of the full array can provide higher transmission rate and quality, so that the perception rate of a user can be improved; when the judgment result is subarray transmission, determining an optimal subarray and a second weight coefficient according to air interface channel conditions of a scheduling user and a head end, acquiring subarray configuration information corresponding to the optimal subarray, and transmitting the subarray configuration information to a target node, wherein the target node can perform resource scheduling according to the subarray configuration information and the second weight coefficient; the smaller beamwidth and low power consumption characteristics of the subarrays can be adapted to different communication scenarios, saving energy and providing better user perceived rates.

Drawings

Fig. 1 is a schematic flow chart of an embodiment of a millimeter wave based communication resource scheduling method provided by the present invention;

fig. 2 is a schematic structural diagram of an embodiment of a millimeter wave-based communication resource scheduling device provided by the present invention;

fig. 3 is a schematic diagram of dynamic distribution of subarrays in a multi-scheduling user scenario according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Embodiment 1, referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a millimeter wave-based communication resource scheduling method provided in the present invention, as shown in fig. 1, and the method includes steps 101 to 104, specifically as follows:

step 101: and selecting a dispatching user set from a dispatching queue, and acquiring the dispatching user number in the dispatching user set.

In an embodiment, at a scheduling time, a set of scheduling users is selected in a scheduling queue according to a preset selection criterion on the basis of the RAN side, where the preset selection criterion includes, but is not limited to, proportional fair PF and polling RR.

Step 102: and when the number of the scheduled users is 1, acquiring the full-array measuring information of the scheduled users, and performing scheduling judgment on the full-array measuring information to obtain a judgment result.

In an embodiment, the RAN-based acquisition of full-array measurement information of the user, where the full-array measurement information includes, but is not limited to, measurement information at a user level, measurement information at a cell level, and measurement information at a beam level.

Preferably, the full-array measurement information includes Channel Quality (CQI), stream number, signal-to-noise ratio (SNR) or signal-to-interference-and-noise ratio (SINR), neighbor interference, optimal beam, and inter-beam interference.

In an embodiment, the full array measurement information may be obtained through an access procedure or a data measurement procedure, through SSB measurement, PRACH measurement, CSI-RS measurement, SRS measurement, and measurement procedures of other channels.

In an embodiment, when performing scheduling decision on the full-array measurement information, performing scheduling decision according to the acquired optimal beam information, such as channel quality CQI, signal-to-noise ratio SNR, signal-to-interference-and-noise ratio SINR, etc., in the full-array measurement information, and determining whether the full-array measurement information of the user under the beam has reached the highest threshold of the scheduling resource of the user.

Specifically, the full-array measuring information of the scheduling user is obtained, wherein the full-array measuring information comprises channel quality, signal to noise ratio and signal to interference and noise ratio; simultaneously acquiring a channel quality threshold, a signal-to-noise ratio threshold and a signal-to-interference-and-noise ratio threshold; comparing the channel quality with the channel quality threshold, comparing the signal to noise ratio with the signal to noise ratio threshold, and comparing the signal to interference noise ratio with the signal to interference noise ratio threshold; if any signal-to-noise ratio is equal to the signal-to-noise ratio threshold, the signal-to-noise ratio is not less than the signal-to-noise ratio threshold or the signal-to-interference-and-noise ratio is not less than the signal-to-interference-and-noise ratio, determining that the judgment result is subarray transmission, otherwise, determining that the judgment result is full-array subarray transmission.

Preferably, the channel quality threshold, the signal to noise ratio threshold and the signal to interference plus noise ratio threshold are set as the corresponding highest threshold values respectively.

Specifically, if any one of the signal to noise ratio is equal to the signal to noise ratio threshold, the signal to noise ratio is not less than the signal to noise ratio threshold or the signal to interference noise ratio is not less than the signal to interference noise ratio, then the full array sub-measurement information of the scheduling user under the beam is considered to reach the highest threshold of the scheduling resource of the scheduling user, the scheduling user can use a subarray, for example, the scheduling user can use the subarray (for example, the uplink resource requirement of the scheduling user is X byte, but the channel quality of the scheduling user is very high, the scheduling user can transmit at 200MHz bandwidth according to 256QAM code rate 0.9, the transmission capacity is Y byte, Y > X, then the full subarray is not needed to transmit, the transmission can be retracted to a part of subarrays, and other subarrays are used for measuring the measurement of other scheduling users or cell levels, thereby improving the measurement efficiency.

Specifically, if any condition that the signal-to-noise ratio is equal to the signal-to-noise ratio threshold, the signal-to-noise ratio is not less than the signal-to-noise ratio threshold or the signal-to-interference-and-noise ratio is not less than the signal-to-interference-and-noise ratio is not satisfied, the full-array measuring information of the scheduling user under the beam is considered to not reach the highest threshold of the scheduling resource of the scheduling user, and the scheduling user needs to use the optimal beam, so that the full-array can be used.

Step 103: when the judging result is that the whole array is sent, acquiring whole array configuration information in a head end, acquiring optimal beam information in the whole array measurement information, determining a first weight coefficient according to the optimal beam information, and sending the whole array configuration information and the first weight coefficient to a target node so that the target node performs resource scheduling according to the array configuration information and the first weight coefficient.

In an embodiment, acquiring full-array configuration information in a head end through a RAN side, wherein the full-array configuration information comprises array arrangement, array quantity, and array amplitude and phase control modes; if the array supports only the adjustment phase, also called constant mode adjustment, if the array supports only the amplitude adjustment, also called constant phase adjustment, if the array supports the adjustment of the amplitude and the phase, then called amplitude phase adjustment; after the headend is designed, the configuration information of the array is fixed, and can be configured on the RAN side in a preset manner, or can be configured on the RAN side through the management plane initialization, for example, the configuration can be performed through the M plane of the eCPRI interface of the ora.

In an embodiment, obtaining optimal beam information in the full array sub measurement information, where the optimal beam information includes an optimal beam and a weight corresponding to the optimal beam; wherein the optimal beam is a beam used by a user.

In an embodiment, an optimal beam in the optimal beam information is set as a current optimal beam, a first weight coefficient is set as a weight corresponding to the optimal beam in the optimal beam information, and a transmitting array is set as a full array.

In an embodiment, when the target node performs resource scheduling according to the array configuration information and the first weight coefficient, the target node specifically controls the amplitude and phase information of each antenna according to the subarray information and the weight coefficient.

Step 104: when the judgment result is that the subarray is sent, acquiring an air interface channel of the scheduling user and the head end, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and sending the subarray configuration information and the second weight coefficient to a target node so that the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient.

In an embodiment, when acquiring the air interface channels of the scheduling user and the head end, specifically, performing full-beam measurement on the scheduling user to obtain a beam measurement result, where the beam measurement result includes a channel measurement value of each beam; acquiring a beam weight corresponding to each beam, calculating channel information under each beam based on the beam weight and the channel measurement value, and acquiring total channel information under all beams based on the channel information; and reconstructing air interface channels of the scheduling users and the head end based on the total channel information and the beam weight.

Specifically, the RAN side initiates full-beam measurement for the scheduling user, for example, through CSI-RS full-beam transmission and UE feedback of CSI-RS channel measurement information, the RAN side obtains channel information of each beam, where a beam weight corresponding to each beam is Wb, the channel information is denoted Hb, and a relationship between the channel information and the beam weight is: hb=wb×h, H represents an air interface channel.

Preferably, SRS may be further configured on the RAN side, and channel information Hb corresponding to each beam may be obtained through SRS full-wave beam measurement, where the RAN side may obtain channel information hb= [ Hb1, hb2, …, hbN ] = [ Wb1, wb2, …, wbN ]. H, hbi represents a channel measurement value of the beam i, wbi represents a beam weight of the beam i, and N represents a beam number, and then an air interface channel H may be reconstructed according to Hb and Wb, where Wb represents a weight matrix formed by N beam weights.

In an embodiment, when determining the optimal subarray and the second weight coefficient based on the air interface channel, initializing a signal-to-interference-and-noise ratio threshold, wherein the signal-to-interference-and-noise ratio threshold comprises a Gao Menxian signal-to-interference-and-noise ratio and a low threshold signal-to-interference-and-noise ratio; randomly selecting a plurality of first subarrays from all subarray sets, and acquiring subarray numbers corresponding to the plurality of first subarrays; obtaining channel coefficients corresponding to the subarray numbers from the air interface channels, and constructing a channel matrix based on the channel coefficients; calculating an optimal weight corresponding to the channel matrix, calculating an equivalent signal-to-interference-and-noise ratio of a receiving end, adjusting the low-threshold signal-to-interference-and-noise ratio to be the equivalent signal-to-interference-and-noise ratio when the equivalent signal-to-interference-and-noise ratio is larger than the low-threshold signal-to-interference-and-noise ratio and the equivalent signal-to-interference-and-noise ratio is smaller than the Gao Menxian signal-to-interference-and-noise ratio, generating a subarray number set based on all subarray numbers, otherwise, judging whether all subarray sets are traversed, if not, updating subarray numbers corresponding to the subarray sets, randomly selecting a plurality of first subarrays from all subarray sets again until all subarray sets are traversed, taking the current subarray number set as the optimal subarray set, and taking the current optimal weight as a second weight coefficient.

Specifically, initializing SINR _{Low threshold} ＝0dB，SINR _{High threshold} The SINR value which satisfies the scheduling requirement of the user+beta, wherein beta is a value not less than 0, and can be adaptively configured according to the scheduling condition, or can be statically configured in a configuration interface or can be configured according to an M plane; meanwhile, the array number set C is also set to be empty.

Specifically, all subarray sets are obtained, the number of all subarray sets is recorded as N, and a plurality of first subarrays are selected from all subarray sets, wherein the subarray numbers corresponding to the plurality of first subarrays are { i1, i2, & iM }; obtaining a channel matrix H of the number of subarrays of the plurality of first subarrays from the air interface channel _M H { i1, i2,..im }, where H { i1, i2,..im } represents the channel coefficient corresponding to the sub-array number { i1, i2,..im } selected in the air interface channel H.

Specifically, a channel matrix H is calculated _M Corresponding optimal weight W _M And calculates the equivalent SINR of the receiving end _M If equivalent SINR _M ＞SINR _{Low threshold} And equivalent signal-to-interference-and-noise ratio SINR _M ＜SINR _{High threshold} Indicating that the selected first sub-arrays satisfy the condition, setting SINR at this time _{Low threshold} Equivalent signal-to-interference-plus-noise ratio SINR _M Generating a subarray number set based on all subarray numbers, updating the subarray number set to be C= { i1, i2,. IM }, judging whether all subarray sets are traversed if not, and exiting calculation if the subarray sets are traversed; if not, updating the subarray numbers corresponding to the subarray sets which are not traversed in all subarray sets according to a certain criterion, and selecting a plurality of first subarrays from all subarray sets until all subarray sets are not traversed.

Specifically, a flexible subarray traversal criterion may be set for traversing all subarray sets, where the subarray traversal criterion includes, but is not limited to, traversing according to an array number, or randomly traversing, or traversing N0 subarrays at intervals, where n0 > =2.

In an embodiment, after determining an optimal subarray, subarray configuration information corresponding to the optimal subarray is obtained from full array configuration information of a head end.

In an embodiment, when the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient, the target node specifically controls the amplitude and phase information of each antenna according to the subarray information and the weight coefficient.

As another implementation manner in this embodiment, when the decision result is that the subarray is sent, before the scheduling user and the air interface channel of the head end are obtained, the method further includes defining a subarray range of the scheduling user based on RAN side according to the position and angle information of the user and the head end; and acquiring an air interface channel of the scheduling user and the head end in the subarray range, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and transmitting the subarray configuration information and the second weight coefficient to a target node so that the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient.

Specifically, the position and angle information of the scheduling user and the head end can obtain prior information through positioning, sensing, presetting and the like.

Specifically, the distance and direction between the scheduling user and the head end are calculated according to the position and angle information, the parameters can be used for determining the beam direction and angle range of the scheduling user, and the subarray range corresponding to the scheduling user is determined according to the beam direction and angle range.

In this embodiment, by defining the corresponding subarray range for the scheduling user, then reconstructing the air interface channel, and determining the optimal subarray and the second weight coefficient, the search times can be reduced, and the calculation efficiency of the optimal subarray and the second weight coefficient can be improved.

In an embodiment, in the subarray range, when the scheduling user and the air interface channel of the head end are directly acquired, channel measurement in the subarray range can be initiated on the basis of the RAN side in the subarray range, and an air interface channel H in the subarray range is reconstructed; based on the method, the searching times can be reduced, and the measuring cost of the RAN and the terminal side can be reduced.

As another implementation manner in this embodiment, when the decision result is that the subarray is sent, before the scheduling user and the air interface channel of the head end are obtained, the method further includes that the RAN side defines the subarray range of the scheduling user according to the optimal beam ID of the scheduling user; and acquiring an air interface channel of the scheduling user and the head end in the subarray range, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and transmitting the subarray configuration information and the second weight coefficient to a target node so that the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient.

Specifically, the optimal beam ID of the scheduling user may be obtained based on the optimal beam information in the obtained full-array scheduling information of the user.

In an embodiment, after the RAN side defines the subarray range of the user according to the optimal beam ID of the scheduling user, the RAN side may initiate channel measurement in the subarray range on the basis of the RAN side in the subarray range, and reconstruct the air interface channel H in the subarray range, except when the scheduling user and the air interface channel of the head end are directly acquired.

In an embodiment, since the number of users to be scheduled is selected from the scheduling queue, there may be a case where the number of users to be scheduled is greater than 1, in addition to a case where the number of users to be scheduled is 1.

In an embodiment, when the number of the scheduled users is greater than 1, a corresponding first subarray range is defined for each scheduled user according to the position and angle information of the scheduled user and the head end; and reconstructing second air interface channels of all scheduling users and the head end in the range of each first subarray, and determining a second optimal subarray and a third weight coefficient of each scheduling user based on the second air interface channels.

Specifically, for a multi-user scene, the near-point user can be divided into smaller array planes due to small path loss, so that the formed beam gain is small, the far-point user can be divided into larger array planes, so that the formed beam gain is large, therefore, the distance and direction between the scheduling user and the head end are calculated according to the position and angle information, the parameters can be used for determining the beam direction and the angle range of the scheduling user, and a corresponding first subarray range is defined for each scheduling user according to the beam direction and the angle range. As shown in fig. 3, fig. 3 is a schematic diagram of dynamic distribution of subarrays in a multi-scheduling user scenario.

Specifically, in each first subarray range, the manner of reconstructing all the scheduling users and the second air interface channels of the head end is the same as the manner of reconstructing the first air interface channels, so that a detailed description is not given here.

In an embodiment, when determining the second optimal subarray and the third weight coefficient of each scheduling user based on the second air interface channel, scheduling the second air interface channel with the maximum system capacity as an objective function, and determining the second optimal subarray and the third weight coefficient of each scheduling user; wherein the objective function is as follows:

s.t.Map(SINR _i，b )＝Q _i ×CR _i ；

Map(W _i，b )＝L _i ；

Wherein N is _UE In order to schedule the total number of users,number of Resources (RBs) allocated for scheduling user i, Q _i To schedule usersModulation order of i, CR _i To schedule the code rate of user i, L _i Representing the number of scheduling streams, SINR, of scheduling user i _i，b To schedule the signal-to-noise ratio measured on beam b for user i, W _i，b To schedule the weights of user i on beam b.

Specifically, map (SINR _i，b )＝Q _i ×CR _i Representing that the SINR measured by user i on beam b can be mapped directly to modulation order and code rate, and equivalently, the measured Modulation Coding (MCS) can be mapped to modulation order and code rate; map (W) _i，b )＝L _i Indicating that user i can map to the number of streams after the weights of beam b are measured.

Specifically, for each user i, a channel information Map (SINR _i，b )＝Q _i ×CR _i And weight information Map (W _i，b )＝L _i And mapping the channels and the weights of the users into modulation orders, code rates and scheduling stream numbers. This may be achieved by a predefined mapping function or table; and calculating the system capacity of each user on different beams according to the mapped modulation order and code rate and the scheduling stream number. The system capacity consists of the sum of the products of the number of resource blocks, the modulation order, the code rate and the scheduling stream number of each user; the system capacity is maximized using an optimization algorithm. The optimization algorithm searches the optimal beam allocation and weight allocation scheme to maximize the system capacity, takes the subarray corresponding to the beam b of the user i with the maximized system capacity as a second optimal subarray, and takes the weight corresponding to the beam b of the user i with the maximized system capacity as the third weight coefficient.

In an embodiment, in addition to directly reconstructing all scheduling users and the second air interface channels of the head end in each first subarray range, channel measurement in the subarray range can be initiated on the basis of the RAN side in each first subarray range, and the second air interface channels in the first subarray range are reconstructed; in this way, not only the number of searches but also the measurement costs at the RAN and terminal side can be reduced.

In an embodiment, second optimal subarray configuration information corresponding to a second optimal subarray is obtained, and the second optimal subarray configuration information and the third weight coefficient are sent to the target node, so that the target node performs resource scheduling according to the second optimal subarray configuration information and the third weight coefficient.

As still another implementation in this embodiment: after the number of the scheduled users in the scheduled user set is obtained, when the number of the scheduled users is greater than 1, a corresponding second subarray range can be defined for each scheduled user based on the optimal beam information in the full-array measuring information according to the full-array measuring information of the scheduled users; and reconstructing a third air interface channel of all scheduling users and the head end in each second subarray range, and determining a third optimal subarray and a fourth weight coefficient of each scheduling user based on the third air interface channel.

In an embodiment, third optimal subarray configuration information corresponding to a third optimal subarray is obtained, and the third optimal subarray configuration information and the fourth weight coefficient are sent to the target node, so that the target node performs resource scheduling according to the third optimal subarray configuration information and the fourth weight coefficient.

Specifically, in each second subarray range, the mode of reconstructing all scheduling users and the third air interface channel of the head end is the same as the mode of reconstructing the first air interface channel; the method for determining the third optimal subarray and the fourth weight coefficient of each scheduling user based on the third air interface channel is the same as the method for determining the second optimal subarray and the third weight coefficient of each scheduling user based on the second air interface channel, and therefore, the detailed description is not given here.

In an embodiment, in addition to directly reconstructing all the scheduling users and the second air interface channels of the head end in each second subarray range, channel measurement in the subarray range can be initiated on the basis of the RAN side in each second subarray range, and a third air interface channel in the second subarray range can be reconstructed; in this way, not only the number of searches but also the measurement costs at the RAN and terminal side can be reduced.

In still another implementation manner of this embodiment, when the number of users to be scheduled is greater than 1, it is further required to determine whether there is a very far point user to be scheduled in the data of the users to be scheduled, if yes, a full-array transmission manner is used, and at this time, the very far point user to be scheduled and a fourth air interface channel of the head end may be directly reconstructed, and based on the fourth air interface channel, a fifth weight coefficient of the very far point user to be scheduled is determined, without determining a subarray range corresponding to the very far point user to be scheduled.

For the unused array of the current scheduling, the array can be used for sensing, positioning, measuring, calibrating and the like. The indication information sent by the scheduling side to the target node includes, but is not limited to:

1) Matrix ID;

2) Types of operations such as sensing, positioning, measurement, calibration, etc.;

3) Weight or beam ID;

4) Waveforms such as sensing may use FMCW, positioning may use CP-OFDM;

5) Subcarrier spacing;

6) Symbol duration;

7) Window function parameters;

in an embodiment, the full-array configuration information and the fifth weight coefficient are sent to the target node, so that the target node performs resource scheduling according to the full-array configuration information and the fifth weight coefficient.

In one embodiment, in order to achieve a dynamic allocation manner, when the full array configuration information or the sub array configuration data and the corresponding weight coefficient are sent to the target node, the target node is dynamically indicated through an interface based on the first node; specifically, in the original indication message or an indication message is added, dynamic indication of sub-array face allocation is performed.

Specifically, when dynamic indication of sub-array face allocation is carried out, a corresponding array distribution mode is agreed by adopting a bit mapping mode, and each sub-array is designated to correspond to an array, wherein the bit mapping means that an element 1 indicates that the array is effective or enabled, and 0 indicates that the array is ineffective or disabled; alternatively, 1 indicates that the array is inactive or not enabled, and 0 indicates that the array is active or enabled.

Specifically, the indication information includes the following contents, for example:

1) The number of subarrays;

2) Bit mapping corresponding to subarray 1;

3) Bit mapping corresponding to subarray n;

4) The weight or beam ID corresponding to the subarray 1;

5) The weight or beam ID corresponding to subarray n.

In addition, the mapping relation between the bit mapping and the array needs to be sent to the target node through the forwarding interface, that is, each bit represents which array, and the message can be sent together with the message or in other modes, such as presetting, M-plane configuration and initialization configuration;

Taking scheduling time 1 in fig. 3 as an example, the mapping relationship between the transmission bit map and the array is that the transmission bit map and the array correspond to each other in a horizontal row and then in a vertical row. The indication message content is:

1) The number of subarrays is 2;

2) Subarray 1:110000001101000;

3) Subarray 2:001111110011111.

Specifically, when dynamic indication of subarray array face allocation is performed, a subarray dividing method can be set, and the range mode number of each subarray is indicated; for example, as shown in fig. 3, the division manner of the scheduling time 1 is a manner 1 and a manner 2; the division modes of the scheduling time 2 are mode 3 and mode 4; the scheduling time 3 is divided into a mode 5.

1) The number of subarrays;

2) The subarray 1 is numbered in a corresponding division mode;

3) The subarray n is numbered in a corresponding dividing mode;

4) The weight or beam ID corresponding to the subarray 1;

5) The weight or beam ID corresponding to subarray n.

In addition, the weight corresponding to the beam ID and the division scheme needs to be transmitted to the target node through the forwarding interface. This message may be sent with the message described above or by other means, such as preset, M-plane configuration, initialization configuration.

Taking scheduling time 1 in fig. 3 as an example, the content of the indication message is:

1) The number of subarrays is 2;

2) The corresponding division mode of the subarray 1 is 1;

3) The subarray 2 corresponds to a division pattern of 2.

In one embodiment, the indication message is required to be indicated through a forwarding interface between two nodes; specifically, the indication message is set to indicate between the first node and the target node, and the indication message can be set to indicate between the target node and the second node at the same time; the first node is a baseband processing unit BBU, the target node is a Hub or an expansion unit EU, and the second node is a headend.

Preferably, the first node is a protocol stack, the target node is a baseband board, and the second node is a headend, and at this time, the interface between the protocol stack and the baseband board is also called as a FAPI interface, and the indication needs to be implemented by adding or adding an original message in the FAPI interface. The protocol stack completes partial scheduling, and sends scheduling information to the baseband board, and the baseband board completes subarray selection, weight calculation, indication and message sending to the head end.

Specifically, the message indication between the first node and the target node includes:

1) Enabling subarray selection (indicating that the baseband board is full subarray scheduling, or subarray scheduling);

2) Initiating full array or subarray measurement, and distributing corresponding measurement resources;

3) Subarray selection methods (selection according to full channel, or selection according to position angle information, or selection according to strongest beam, etc.);

4)SINR _{high threshold} Configuration;

5)SINR _{low threshold} Configuration;

6)Beta；

7) Scheduling a set of users;

8) The number of schedulable resources, etc.

In summary, according to the millimeter wave-based communication resource scheduling method provided by the embodiment, under the condition of single-tone users, by analyzing and judging the full-array measurement information of the scheduling users, and comparing the measurement information such as channel quality, signal-to-noise ratio, signal-to-interference-and-noise ratio and the like of the scheduling users with the threshold, a proper scheduling mode can be determined, so that the use of full-array transmission under the condition of poor channel quality can be avoided, the channel quality and the communication reliability can be improved, and for users with high partial channel quality, partial sub-array scheduling can be used, and the head-end power consumption can be reduced; and the channel information under each wave beam is calculated according to the wave beam weight and the information measured value, and the air interface channels of the scheduling user and the head end are reconstructed based on the total channel information and the wave beam weight, so that the communication resources can be more reasonably and effectively utilized, and the frequency spectrum efficiency and the energy efficiency of the system are improved; through multi-level resource scheduling and optimization, a proper subarray range can be defined according to the position and angle information of users, full array measurement information and the like, and the optimal subarray and weight coefficient of each scheduling user are determined, so that simultaneous scheduling of a plurality of users can be realized at the same time, the system capacity and the user perception rate are improved, the waiting time delay of the users is reduced, better signal coverage and transmission quality can be provided, and the communication experience and service quality of the users are improved.

Embodiment 2, referring to fig. 2, fig. 2 is a schematic structural diagram of an embodiment of a millimeter wave-based communication resource scheduling device provided by the present invention, and as shown in fig. 2, the device includes a scheduling user selection module 201, a scheduling decision module 202, a full array sub-transmission module 203, and a sub-array transmission module 204, which specifically includes:

the scheduling user selecting module 201 is configured to select a scheduling user set from a scheduling queue, and obtain a number of scheduling users in the scheduling user set.

The scheduling decision module 202 is configured to obtain full-array measurement information of a scheduling user when the number of scheduling users is 1, and perform scheduling decision on the full-array measurement information to obtain a decision result.

The full-array transmitting module 203 is configured to obtain full-array configuration information in a head end when the decision result is full-array transmission, obtain optimal beam information in the full-array measurement information, determine a first weight coefficient according to the optimal beam information, and transmit the full-array configuration information and the first weight coefficient to a target node, so that the target node performs resource scheduling according to the full-array configuration information and the first weight coefficient.

The subarray sending module 204 is configured to obtain an air interface channel of the scheduling user and the head end when the decision result is subarray sending, determine an optimal subarray and a second weight coefficient based on the air interface channel, obtain subarray configuration information corresponding to the optimal subarray, and send the subarray configuration information and the second weight coefficient to a target node, so that the target node performs resource scheduling according to the subarray configuration information and the second weight coefficient.

In an embodiment, the scheduling decision module 202 is configured to obtain full-array measurement information of a scheduling user, and perform scheduling decision on the full-array measurement information to obtain a decision result, and specifically includes: acquiring full-array measuring information of a scheduling user, wherein the full-array measuring information comprises channel quality, signal to noise ratio and signal to interference plus noise ratio; simultaneously acquiring a channel quality threshold, a signal-to-noise ratio threshold and a signal-to-interference-and-noise ratio threshold; comparing the channel quality with the channel quality threshold, comparing the signal to noise ratio with the signal to noise ratio threshold, and comparing the signal to interference noise ratio with the signal to interference noise ratio threshold; if any signal-to-noise ratio is equal to the signal-to-noise ratio threshold, the signal-to-noise ratio is not less than the signal-to-noise ratio threshold or the signal-to-interference-and-noise ratio is not less than the signal-to-interference-and-noise ratio, determining that the judgment result is subarray transmission, otherwise, determining that the judgment result is full-array subarray transmission.

In an embodiment, the subarray sending module 204 is configured to determine, based on the air interface channel, an optimal subarray and a second weight coefficient, and specifically includes: initializing a signal-to-interference-and-noise ratio threshold, wherein the signal-to-interference-and-noise ratio threshold comprises a Gao Menxian signal-to-interference-and-noise ratio and a low threshold signal-to-interference-and-noise ratio; randomly selecting a plurality of first subarrays from all subarray sets, and acquiring subarray numbers corresponding to the plurality of first subarrays; obtaining channel coefficients corresponding to the subarray numbers from the air interface channels, and constructing a channel matrix based on the channel coefficients; calculating an optimal weight corresponding to the channel matrix, calculating an equivalent signal-to-interference-and-noise ratio of a receiving end, adjusting the low-threshold signal-to-interference-and-noise ratio to be equivalent signal-to-interference-and-noise ratio when the equivalent signal-to-interference-and-noise ratio is larger than the low-threshold signal-to-interference-and-noise ratio and the equivalent signal-to-interference-and-noise ratio is smaller than the Gao Menxian signal-to-interference-and-noise ratio, generating a subarray number set based on all subarray numbers, otherwise, judging whether all subarray sets are traversed, if not, updating subarray numbers corresponding to the subarray sets, randomly selecting a plurality of first subarrays from all subarray sets again until all subarray sets are traversed, taking the current subarray number set as the optimal subarray set, and taking the current optimal weight as a second weight coefficient.

In an embodiment, the subarray sending module 204 is configured to obtain air interface channels of the scheduling user and the headend, and specifically includes: performing full-wave beam measurement on the scheduling user to obtain a beam measurement result, wherein the beam measurement result comprises a channel measurement value of each beam; acquiring a beam weight corresponding to each beam, calculating channel information under each beam based on the beam weight and the channel measurement value, and acquiring total channel information under all beams based on the channel information; and reconstructing air interface channels of the scheduling users and the head end based on the total channel information and the beam weight.

The communication resource scheduling device based on millimeter waves provided in this embodiment further includes: the processing module is scheduled for a first plurality of users.

In an embodiment, the first multi-user scheduling processing module is configured to define a corresponding first subarray range for each scheduling user according to the position and angle information of the scheduling user and the head end when the number of the scheduling users is greater than 1, reconstruct second air interface channels of all the scheduling users and the head end in each first subarray range, and determine a second optimal subarray and a third weight coefficient of each scheduling user based on the second air interface channels.

In an embodiment, the first multi-user scheduling processing module is configured to determine, based on the second air interface channel, a second optimal subarray and a third weight coefficient of each scheduling user, and specifically includes: scheduling the second air interface channel by taking the maximization of the system capacity as an objective function, and determining the second optimal subarray and the third weight coefficient of each scheduling user; wherein the objective function is as follows:

s.t.Map(SINR _i，b )＝Q _i ×CR _i ；

Map(W _i，b )＝L _i ；

wherein N is _UE In order to schedule the total number of users,number of resources (Rβ) allocated for scheduling user i, Q _i To schedule modulation order for user i, CR _i To schedule the code rate of user i, L _i Representing the number of scheduling streams, SINR, of scheduling user i _i，b To schedule the signal-to-noise ratio measured on beam b for user i, W _i，b To schedule the weights of user i on beam b.

The communication resource scheduling device based on millimeter waves provided in this embodiment further includes: the second multi-user schedules the processing module.

In an embodiment, the second multi-user scheduling processing module is configured to, when the number of scheduled users is greater than 1, define a corresponding second subarray range for each scheduled user based on the optimal beam information in the full-array measurement information according to the full-array measurement information of the scheduled user, reconstruct third air interface channels of all the scheduled users and the head end in each second subarray range, and determine a third optimal subarray and a fourth weight coefficient of each scheduled user based on the third air interface channels.

It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the above-described apparatus, which is not described in detail herein.

It should be noted that, the embodiments of the millimeter wave based communication resource scheduling device described above are merely illustrative, where the modules described as separate components may or may not be physically separated, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

On the basis of the embodiment of the millimeter wave-based communication resource scheduling method, another embodiment of the present invention provides a millimeter wave-based communication resource scheduling terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement the millimeter wave-based communication resource scheduling method according to any one of the embodiments of the present invention.

Illustratively, in this embodiment the computer program may be partitioned into one or more modules, which are stored in the memory and executed by the processor to perform the present invention. The one or more modules may be a series of computer program instruction segments capable of performing particular functions for describing the execution of the computer program in the millimeter wave based communication resource scheduling terminal device.

The millimeter wave-based communication resource scheduling terminal equipment can be computing equipment such as a desktop computer, a notebook computer, a palm computer and a cloud server. The millimeter wave based communication resource scheduling terminal device may include, but is not limited to, a processor, a memory.

The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor is a control center of the millimeter wave-based communication resource scheduling terminal device, and connects various parts of the entire millimeter wave-based communication resource scheduling terminal device by using various interfaces and lines.

The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the millimeter wave based communication resource scheduling terminal device by running or executing the computer program and/or the module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.

On the basis of the embodiment of the millimeter wave-based communication resource scheduling method, another embodiment of the present invention provides a storage medium, where the storage medium includes a stored computer program, and when the computer program runs, the device where the storage medium is controlled to execute the millimeter wave-based communication resource scheduling method according to any one of the embodiments of the present invention.

In this embodiment, the storage medium is a computer-readable storage medium, and the computer program includes computer program code, where the computer program code may be in a source code form, an object code form, an executable file, or some intermediate form, and so on. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

In summary, according to the millimeter wave-based communication resource scheduling method and device provided by the invention, when the number of scheduling users in the acquired scheduling user set is 1, scheduling judgment is performed on the acquired full-array measuring information of the scheduling users, so as to obtain a judgment result; when the judgment result is that the full array is sent, acquiring full array configuration information of the head end, acquiring optimal beam information in full array measurement information, determining a first weight coefficient according to the optimal beam information, and sending the full array configuration information and the first weight coefficient to a target node for resource scheduling; when the judgment result is that the subarray is transmitted, acquiring an air interface channel of a scheduling user and a head end, determining an optimal subarray and a second weight coefficient based on the air interface channel, acquiring subarray configuration information corresponding to the optimal subarray, and transmitting the subarray configuration information and the second weight coefficient to a target node for resource scheduling; compared with the prior art, the technical scheme of the invention can improve the user perception rate by improving the resource scheduling efficiency.

The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present invention, and these modifications and substitutions should also be considered as being within the scope of the present invention.

Claims

1. A millimeter wave based communication resource scheduling method, comprising:

selecting a dispatching user set from a dispatching queue, and acquiring the dispatching user number in the dispatching user set;

2. The millimeter wave-based communication resource scheduling method of claim 1, wherein the method comprises the steps of obtaining full-array measurement information of a scheduling user, and performing scheduling judgment on the full-array measurement information to obtain a judgment result, and specifically comprises the following steps:

3. The millimeter wave-based communication resource scheduling method of claim 2, wherein determining the optimal subarray and the second weight coefficient based on the air interface channel specifically comprises:

4. The millimeter wave based communication resource scheduling method of claim 1, wherein obtaining the air interface channels of the scheduling user and the headend specifically comprises:

5. The millimeter wave based communication resource scheduling method of claim 1, further comprising, after obtaining the number of scheduled users in the set of scheduled users:

when the number of the dispatching users is larger than 1, defining a corresponding first subarray range for each dispatching user according to the position and angle information of the dispatching user and the head end;

6. The millimeter wave based communication resource scheduling method of claim 5, wherein determining the second optimal subarray and the third weight coefficient for each scheduling user based on the second air interface channel specifically comprises:

wherein the objective function is as follows:

s.t.Map(SINR _i，b )＝Q _i ×CR _i ；

Map(W _i，b )＝L _i ；

7. The millimeter wave based communication resource scheduling method of claim 1, further comprising, after obtaining the number of scheduled users in the set of scheduled users:

when the number of the scheduled users is greater than 1, defining a corresponding second subarray range for each scheduled user based on optimal beam information in the full-array measuring information according to the full-array measuring information of the scheduled user;

8. A millimeter wave based communication resource scheduling apparatus, comprising: the system comprises a scheduling user selection module, a scheduling judgment module, a full array sub-transmission module and a sub-array transmission module;

9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the millimeter wave based communication resource scheduling method of any one of claims 1 to 7 when the computer program is executed.

10. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program when run controls a device in which the computer readable storage medium is located to perform the millimeter wave based communication resource scheduling method according to any one of claims 1 to 7.