CN113163501A

CN113163501A - Communication resource allocation method and device and electronic equipment

Info

Publication number: CN113163501A
Application number: CN202110205907.1A
Authority: CN
Inventors: 田辉; 郑景桁; 倪万里; 华美慧; 王雯; 陈旭涛; 范绍帅; 聂高峰; 刘元玮
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2021-02-24
Filing date: 2021-02-24
Publication date: 2021-07-23

Abstract

The embodiment of the invention provides a communication resource allocation method, a communication resource allocation device and electronic equipment. The method is applied to control equipment in a multi-cell NOMA network; the method comprises the following steps: when entering each preset downlink time slot, acquiring a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflecting surface to each terminal device on each subchannel and a third channel response from each base station to each intelligent reflecting surface on each subchannel in the current downlink time slot; determining a target communication resource allocation scheme in the current downlink time slot based on the obtained channel responses and preset constraints; and controlling the plurality of terminal equipment, the at least one intelligent reflecting surface and the plurality of base stations to allocate corresponding communication resources for the base stations according to the target communication resource allocation scheme. Compared with the prior art, the scheme provided by the embodiment of the invention can improve the information transmission performance in the multi-cell NOMA network.

Description

Communication resource allocation method and device and electronic equipment

Technical Field

The present invention relates to the field of wireless communication technologies, and in particular, to a communication resource allocation method, an apparatus, and an electronic device.

Background

Currently, the NOMA (Non-Orthogonal Multiple Access) technology is applied to more and more fields because of its excellent performance in enhancing network connectivity and improving throughput.

For example, NOMA technology is often applied to multi-cell networks, and thus, multi-cell NOMA networks may be constructed to improve network connectivity of individual cell networks in the multi-cell network.

Among them, since one base station is generally considered to correspond to one cell communication network, the multi-cell NOMA network refers to: a communication network in which a plurality of base stations exist and NOMA technology is applied.

However, since a plurality of base stations and a plurality of mobile terminals exist in the multi-cell NOMA network, and information transmission can be performed simultaneously between the plurality of base stations and the plurality of mobile terminals. Therefore, co-channel interference may exist between sub-channels used in each information transmission process, and further, strong association and strong coupling may exist between the sub-channels. Thus, the rationality of communication resource allocation among the base stations is poor, and the information transmission performance in the multi-cell NOMA network is poor. For example, the data throughput of a multi-cell NOMA network is low, etc.

Therefore, a communication resource allocation method is needed at present to reduce co-channel interference between sub-channels in an information transmission process of a multi-cell NOMA network, and further reduce relevance and coupling between sub-channels, improve rationality of communication resource allocation between base stations, and improve information transmission performance in the multi-cell NOMA network.

Disclosure of Invention

An object of the embodiments of the present invention is to provide a method, an apparatus, and an electronic device for allocating communication resource, so as to improve information transmission performance in a multi-cell NOMA network. The specific technical scheme is as follows:

in a first aspect, an embodiment of the present invention provides a communication resource allocation method, where the method is applied to a control device in a multi-cell non-orthogonal multiple access (NOMA) NOMA network; the multi-cell NOMA network further comprises: the system comprises a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels and at least one intelligent reflecting surface; the method comprises the following steps:

when entering each preset downlink time slot, acquiring a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflecting surface to each terminal device on each subchannel and a third channel response from each base station to each intelligent reflecting surface on each subchannel in the current downlink time slot;

determining a target communication resource allocation scheme in the current downlink time slot based on the acquired first channel responses, second channel responses, third channel responses, preset transmission power constraints of base stations, preset data rate constraints of terminal devices, preset decoding sequence constraints of terminal devices and preset matching relation constraints of the terminal devices, the base stations and the sub-channels; wherein the target communication resource allocation scheme comprises: the transmission power of each base station for each terminal device, the phase shift of each intelligent reflecting surface, the matching factor of each terminal device and each base station and the matching factor of each base station and each sub-channel on each sub-channel;

and controlling the plurality of terminal devices, the at least one intelligent reflecting surface and the plurality of base stations to allocate the corresponding communication resources to the base stations according to the target communication resource allocation scheme, so that the plurality of base stations transmit downlink data to the plurality of terminal devices on the plurality of sub-channels based on the target communication resource allocation scheme.

Optionally, in a specific implementation manner, the constraint of the transmission power of each base station includes: the maximum value of the transmitting power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot; the data rate constraints of each terminal device include: in the current downlink time slot, the minimum value of the transmission rate of the downlink data required by each terminal device; the decoding order constraints of the terminal devices comprise: in the current downlink time slot, each terminal device executes a serial interference cancellation method to decode the conditions required to be met by the superposed signals; the matching relationship constraints on the terminal device, the base station and the sub-channels include: in the current downlink time slot, each terminal device is only allowed to be associated with one base station, the number of the terminal devices associated with each base station is multiple and not greater than a preset maximum value, each base station is allocated with at least one sub-channel, and each sub-channel is allocated to at least one base station.

Alternatively, in one particular implementation,

the respective base station transmit power constraints include:

∑_i∑_kP_ijk≤P_max

wherein, P_ijk＝α_ijβ_jkp_ijkDenotes the allocation scheme of the transmission power of the jth base station on the subchannel k for the respective terminal device, α_ijIs the matching factor of terminal equipment i and base station j, if alpha_ijIf the value is 1, the terminal device i is associated with the base station j, otherwise, the terminal device i is associated with the base station j; beta is a_jkIs the matching factor of base station j to subchannel k, if beta_jkIf 1, then subchannel k is assigned to base station j, otherwise subchannel k is not assigned to base station j; p is a radical of_ijkIs a letterOn channel k, base station j allocates to terminal device i a transmission power, P_maxThe maximum value of the transmitting power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot;

the data rate constraints of each terminal device include:

∑_j∑_kR_ijk≥R_min

wherein R is_ijk＝(W/K)log₂(1+SINR_ijk) Denotes the transmission rate of downlink data of terminal device i associated with base station j on subchannel K, W/K is the bandwidth of each subchannel, SINR_ijkFor the signal to interference plus noise ratio, R, of a terminal device i associated with a base station j on a subchannel k_minThe minimum value of the transmission rate of the downlink data required by each terminal device in the current downlink time slot is obtained;

the decoding order constraints of the terminal devices comprise:

wherein,

for terminal equipment

Difference of signal-to-interference-and-noise ratio, pi, with terminal equipment i_jk(i) For the decoding order of terminal device i associated with base station j on subchannel k,

indicating i ratio of terminal device to terminal device

Firstly, decoding;

the matching relation constraint related to the terminal equipment, the base station and the sub-channel comprises a first relation constraint formula, a second relation constraint formula, a third relation constraint formula and a fourth relation constraint formula;

wherein the first relational constraint formula is:

∑_jα_ij＝1

the first relational constraint equation represents: the terminal device i is only associated with the base station i;

the second constraint relationship formula is:

2≤∑_iα_ij≤A_max

the second relational constraint formula represents: the number of terminal devices associated with base station j is not less than two and not more than A_max，A_maxIs the preset maximum value;

the third relationship constraint formula is as follows:

∑_kβ_jk≥1

the third relationship constraint equation represents: base station j is allocated at least one subchannel k;

the fourth relationship constraint formula is:

∑_jβ_jk≥1

the fourth relational constraint equation represents: a subchannel k is assigned to at least one base station j.

Optionally, in a specific implementation, the multi-cell NOMA network includes an intelligent reflecting surface; the step of determining the target communication resource allocation scheme in the current downlink timeslot based on the obtained first channel responses, second channel responses, third channel responses, preset constraints on the transmission power of each base station, preset constraints on the data rate of each terminal device, preset constraints on the decoding order of each terminal device, and preset constraints on the matching relationship among the terminal devices, the base stations, and the sub-channels includes:

based on the obtained first channel responses, second channel responses, third channel responses, preset base station transmitting power constraints, preset terminal equipment data rate constraints, preset terminal equipment decoding sequence constraints and preset matching relation constraints related to terminal equipment, a base station and a subchannel, solving preset downlink and data rate optimization equations to obtain a target communication resource allocation scheme in the current downlink time slot; wherein the downlink and data rate optimization equations are:

max∑_i∑_j∑_kR_ijk

wherein alpha is_ij、β_jk、p_ijkAnd theta is an optimization variable of the downlink and data rate optimization equation, and theta is the phase shift of the intelligent reflecting surface.

Optionally, in a specific implementation manner, the step of solving a preset downlink and data rate optimization equation based on the obtained first channel responses, second channel responses, third channel responses, preset base station transmit power constraints, preset terminal device data rate constraints, preset terminal device decoding order constraints, and preset matching relationship constraints on the terminal devices, the base stations, and the sub-channels to obtain the target communication resource allocation scheme in the current downlink timeslot includes:

splitting the downlink and data rate optimization equation into a first sub optimization equation, a second sub optimization equation and a third sub optimization equation according to preset transmission power constraints of each base station, preset data rate constraints of each terminal device, preset decoding sequence constraints of each terminal device and preset matching relation constraints related to the terminal device, the base station and the sub-channels; wherein the optimization variables of the first sub-optimization equation are: the transmission power of each base station for each terminal device on each subchannel is the optimization variable of the second sub-optimization equation: the phase shift of each intelligent reflecting surface and the optimization variables of the third sub-optimization equation are as follows: a matching factor for each terminal device and each base station, and a matching factor for each base station and each subchannel;

and respectively solving the first sub-optimization equation, the second sub-optimization equation and the third sub-optimization equation based on the obtained first channel responses, second channel responses and third channel responses to obtain a target communication resource allocation scheme in the current downlink time slot.

Optionally, in a specific implementation manner, the first sub-optimization equation is:

wherein,

γ_ijkas auxiliary variables, SINR_ijkIs lower bound; and, the first sub-optimization equation has the following constraints:

optionally, in a specific implementation manner, the second sub-optimization equation is:

find Θ

and, the second sub-optimization equation has the following constraints:

wherein,

represents the integrated channel response of the jth base station to the ith terminal device on the kth sub-channel,

denotes g_ikThe conjugate of (2) transposes the vector.

Optionally, in a specific implementation manner, the third sub-optimization equation is:

wherein,

for the set of matching factors for each terminal device and each base station,

a set formed by matching factors of each base station and each sub-channel; and, the third sub-optimization equation has the following constraints:

in a second aspect, an embodiment of the present invention provides a communication resource allocation apparatus, where the apparatus is applied to a control device in a multi-cell non-orthogonal multiple access (NOMA) NOMA network; the multi-cell NOMA network further comprises: the system comprises a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels and at least one intelligent reflecting surface; the device comprises:

a response obtaining module, configured to obtain, in a current downlink time slot, a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflector to each terminal device on each subchannel, and a third channel response from each base station to each intelligent reflector on each subchannel when entering each preset downlink time slot;

a scheme determining module, configured to determine a target communication resource allocation scheme in the current downlink timeslot based on the obtained first channel responses, second channel responses, third channel responses, preset constraints on transmit power of each base station, preset constraints on data rate of each terminal device, preset constraints on decoding order of each terminal device, and preset constraints on matching relationships among the terminal devices, the base stations, and subchannels; wherein the target communication resource allocation scheme comprises: the transmission power of each base station for each terminal device, the phase shift of each intelligent reflecting surface, the matching factor of each terminal device and each base station and the matching factor of each base station and each sub-channel on each sub-channel;

and a resource allocation module, configured to control the multiple terminal devices, the at least one intelligent reflection plane, and the multiple base stations to allocate corresponding communication resources to the multiple base stations according to the target communication resource allocation scheme, so that the multiple base stations send downlink data to the multiple terminal devices on the multiple sub-channels based on the target communication resource allocation scheme.

In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor and the communication interface complete communication between the memory and the processor through the communication bus;

a memory for storing a computer program;

a processor, configured to implement the steps of any communication resource allocation method provided in the first aspect of the foregoing embodiment of the present invention when executing a program stored in a memory.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps of any one of the communication resource allocation methods provided in the first aspect of the embodiment of the present invention.

In a fifth aspect, embodiments of the present invention provide a computer program product containing instructions, which when run on a computer, cause the computer to perform the steps of any of the communication resource allocation methods provided in the first aspect of the embodiments of the present invention.

The embodiment of the invention has the following beneficial effects:

as can be seen from the above, with the solution provided in the embodiment of the present invention, when each base station in the multi-cell NOMA network sends downlink data to each associated terminal device, a downlink timeslot of the multi-cell NOMA network may be preset first, so that, when entering each preset downlink timeslot, a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflector to each terminal device on each subchannel, and a third channel response from each base station to each intelligent reflector on each subchannel are obtained in a current downlink timeslot. Further, the target communication resource allocation scheme in the current downlink time slot may be determined based on the obtained first channel responses, second channel responses, third channel responses, preset constraints on the transmission power of each base station, preset constraints on the data rate of each terminal device, preset constraints on the decoding order of each terminal device, and preset constraints on the matching relationship among the terminal devices, the base stations, and the sub-channels. In this way, after the target communication resource allocation scheme is determined, each terminal device, each intelligent reflection surface and each base station can be controlled to allocate corresponding communication resources to the base station according to the target communication resource allocation scheme, so that each base station can send downlink data to each terminal device on each sub-channel based on the target communication resource allocation scheme.

When the target communication resource allocation scheme is determined, the obtained first channel responses, second channel responses and third channel responses are comprehensively considered, so that the channel conditions of a direct path and a reflected path between the terminal equipment and the base station can be improved in a combined manner; moreover, the preset emission power constraint of each base station can save the energy consumption of each base station on the premise of ensuring the signal quality in the downlink data transmission process; the preset data rate constraint of each terminal device can ensure that the transmission rate of the downlink data acquired by each terminal device can meet the requirement of the lowest transmission rate; the preset decoding order constraint of each terminal device can ensure the effective implementation of the serial interference cancellation decoding technology used by each terminal device.

Further, since the matching relationship among the terminal device, the base station and the sub-channel is jointly optimized, the matching rationality among the terminal device, the base station and the sub-channel can be improved, and therefore, the rationality of communication resource allocation in the multi-cell NOMA network can be improved, and the information transmission performance in the multi-cell NOMA network can be improved.

Based on the scheme provided by the embodiment of the invention, the co-channel interference among the sub-channels in the information transmission process of the multi-cell NOMA network can be reduced, and further, the relevance and the coupling among the sub-channels are reduced, the rationality of communication resource allocation among the base stations is improved, and the information transmission performance in the multi-cell NOMA network is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a multi-cell NOMA network according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a communication resource allocation method according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a communication resource allocation apparatus according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the related art, a plurality of base stations and a plurality of mobile terminals exist in a multi-cell NOMA network, and information can be transmitted between the plurality of base stations and the plurality of mobile terminals at the same time. Therefore, co-channel interference may exist between sub-channels used in each information transmission process, and further, strong association and strong coupling may exist between the sub-channels. Thus, the rationality of communication resource allocation among the base stations is poor, and the information transmission performance in the multi-cell NOMA network is poor. For example, the data throughput of a multi-cell NOMA network is low, etc.

In order to solve the above technical problem, an embodiment of the present invention provides a communication resource allocation method.

The method may be applied to a control device in a multi-cell NOMA network, and the multi-cell NOMA network may further include a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels, and at least one intelligent reflective surface.

For example, fig. 1 is a schematic structural diagram of a multi-cell NOMA network according to an embodiment of the present invention. As shown in fig. 1, the multi-cell NOMA network includes: 4 terminal devices, 2 base stations, 2 subchannels and 1 intelligent reflector.

In the multi-cell NOMA network shown in fig. 1, each base station transmits the superimposed signal of the associated terminal device to the associated terminal device, so that the terminal device associated with each base station can receive the superimposed signal and decode the superimposed signal by using the serial interference cancellation technology to obtain a useful signal of the terminal device.

The communication resource allocation method provided by the embodiment of the invention can be applied to any multi-cell NOMA network which adopts NOMA technology to perform downlink data transmission. Moreover, the geographic positions of each terminal device, each base station and each intelligent reflecting surface in the multi-cell NOMA network can be randomly distributed or distributed according to a certain distribution rule. Therefore, the embodiment of the invention does not limit the specific structure in the multi-cell NOMA network and the geographic positions of each terminal device, each base station and each intelligent reflecting surface in the network.

Each terminal device in the multi-cell NOMA network is located in the coverage area of the multi-cell NOMA network, and the terminal device can be associated with at least one base station in the multi-cell NOMA network and receive downlink data transmitted by each associated base station on one subchannel.

The downlink data sent by the base station includes, but is not limited to: the present invention provides a method for transmitting downlink data, and a base station for transmitting downlink data.

Since each terminal device may be associated with at least one base station in a multi-cell NOMA network, there may be multiple sub-channels in the multi-cell NOMA network, and each sub-channel may be determined by equally dividing the total bandwidth available to the multi-cell NOMA network.

Wherein, the total bandwidth which can be used by the multi-cell NOMA network is a section of continuous frequency spectrum; each sub-channel is a specific frequency spectrum used for transmitting data in a segment of the continuous frequency spectrum, and in the multi-cell NOMA network, two different base stations may perform downlink data transmission on the same sub-channel, and in the multi-cell NOMA network, two different terminal devices may also receive downlink data transmitted by the associated base station on the same sub-channel.

In addition, the path for each base station to transmit downlink data may be: the base station comprises a base station, a base station and terminal equipment, wherein the base station comprises a base station, a base station and intelligent reflection surfaces, and the base station comprises a base station, a base station and terminal equipment.

Wherein, when each base station sends the downlink data path, the path includes: when the base station is in a direct path to the associated terminal equipment and/or a refraction path is formed by the base station to each intelligent reflecting surface and each intelligent reflecting surface to the associated terminal equipment of the base station, the associated terminal equipment of the base station can optimize downlink data sent by the two paths respectively so as to improve the accuracy of the obtained data.

Optionally, each terminal device in the multi-cell NOMA network may be equipped with a single antenna.

Optionally, each base station in the multi-cell NOMA network may be equipped with a single antenna.

The intelligent reflecting surface is a plane composed of a large number of low-cost reflecting elements and is arranged between a signal receiving side and a signal transmitting side. Because each reflecting element can independently change the phase or/and amplitude of an incident signal, the intelligent reflecting surface can be utilized to actively improve the channel condition between a signal receiving party and a signal sending party, further improve the network performance, and enable the signal receiving party to better receive the signal sent by the signal sending party.

The intelligent reflecting surface comprises an active intelligent transmitting surface and a passive intelligent reflecting surface, the passive intelligent reflecting surface can only change the phase of an incident signal, and the active intelligent reflecting surface can change the phase and/or change the amplitude of the incident signal.

Optionally, in the embodiment of the present invention, the at least one intelligent reflection surface used is a passive intelligent reflection surface, and further, in the embodiment of the present invention, the phase of the incident signal is changed only by the phase shift of the intelligent reflection surface.

In addition, the control device may be installed in a certain base station in the multi-cell NOMA network, or may be an independent device deployed outside the multi-cell NOMA network. Also, the control device may be any type of electronic device, such as a microcomputer, a single chip microcomputer, or the like. In this regard, the embodiment of the present invention does not limit the installation location and the device type of the control device.

The communication resource allocation method provided by the embodiment of the invention can comprise the following steps:

As can be seen from the above, by applying the scheme provided in the embodiment of the present invention, when determining the target communication resource allocation scheme, the obtained first channel responses, second channel responses, and third channel responses are taken into consideration comprehensively, so that the channel conditions of the direct path and the reflected path between the terminal device and the base station can be improved in a combined manner; moreover, the preset emission power constraint of each base station can save the energy consumption of each base station on the premise of ensuring the signal quality in the downlink data transmission process; the preset data rate constraint of each terminal device can ensure that the transmission rate of the downlink data acquired by each terminal device can meet the requirement of the lowest transmission rate; the preset decoding order constraint of each terminal device can ensure the effective implementation of the serial interference cancellation decoding technology used by each terminal device.

Hereinafter, a communication resource allocation method according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

Fig. 2 is a flowchart illustrating a communication resource allocation method according to an embodiment of the present invention. As shown in fig. 2, the communication resource allocation method may include the steps of:

s201: when entering each preset downlink time slot, acquiring a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflecting surface to each terminal device on each subchannel and a third channel response from each base station to each intelligent reflecting surface on each subchannel in the current downlink time slot;

when each base station in the multi-cell NOMA network sends downlink data to each associated terminal device, a downlink time slot of the multi-cell NOMA network may be preset first, so that, when entering into each preset downlink time slot, a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflector to each terminal device on each subchannel, and a third channel response from each base station to each intelligent reflector on each subchannel are obtained in the current downlink time slot.

For example, in the case of a multi-cell NOMA network comprising I terminal devices, J base stations, K sub-channels and 1 intelligent reflecting surface, the first channel response from the jth base station to the ith terminal device on the kth sub-channel is h_ijkAnd the response of a second channel from the intelligent reflecting surface on the kth sub-channel to the ith terminal equipment is g_ikAnd the response of a third channel from the jth base station to the intelligent reflecting surface on the kth sub-channel is f_jk。

The duration of the downlink timeslot may be: any time length set according to the requirement in practical application, such as 10ms, 50ms, etc., and thus, the embodiment of the present invention is not particularly limited.

The first channel response from each base station to each terminal device on each subchannel is: and the direct path from each base station to each terminal device on each sub-channel is the channel response, and further, the direct path from each base station to each terminal device on each sub-channel is as follows: each sub-channel is a direct wireless link between each base station and each terminal device.

And, the control device may acquire the respective first channel responses, the respective second channel responses, and the respective third channel responses in various ways. The embodiment of the present invention is not particularly limited.

For example, the control device may acquire the above-described respective first channel responses, the respective second channel responses, and the respective third channel responses using a channel estimation method. The Channel estimation method may be any method capable of acquiring system global Channel State Information (CSI), and the embodiment of the present invention does not specifically limit the Channel estimation method.

For another example, the base station may obtain the system global channel state information by using a channel estimation method, that is, the base station may have the first channel responses, the second channel responses, and the third channel responses, so that the control device may obtain the first channel responses, the second channel responses, and the third channel responses in the current information aggregation interval from the base station when entering each preset information aggregation interval.

For another example, each terminal device may obtain each first channel response, each second channel response, and each third channel response through estimation of the downlink pilot. Therefore, when entering each preset information aggregation interval, the control device may obtain, from each terminal device, each first channel response, each second channel response, and each third channel response in the current information aggregation interval.

The downlink pilot frequency is a wireless signal which is sent to each terminal device by the base station before each terminal device transmits local information in an uplink manner and contains the channel state information of the terminal device. The downlink pilot may include, but is not limited to, a downlink multicast pilot, and the embodiment of the present invention does not specifically limit a downlink pilot channel.

It should be noted that, when the control device obtains the first channel responses, the second channel responses, and the third channel responses from the base station or the terminal devices, the base station or the terminal devices may actively upload the first channel responses, the second channel responses, and the third channel responses to the control device when entering each preset information aggregation interval, or the base station or the terminal devices may send an obtaining request when entering each preset information aggregation interval. The embodiment of the present invention is not particularly limited.

S202: determining a target communication resource allocation scheme in the current downlink time slot based on the acquired first channel responses, second channel responses, third channel responses, preset transmission power constraints of base stations, preset data rate constraints of terminal equipment, preset decoding sequence constraints of terminal equipment and preset matching relation constraints of the terminal equipment, the base station and the sub-channels;

wherein the target communication resource allocation scheme comprises: the transmission power of each base station for each terminal device on each subchannel, the phase shift of each intelligent reflective surface, the matching factor for each terminal device and each base station, and the matching factor for each base station and each subchannel.

After obtaining the responses of the first channels, the second channels and the third channels in the current downlink time slot, the control device may obtain, based on the obtained first channel responses, second channel responses, third channel responses, preset base station transmit power constraints, preset terminal device data rate constraints, and preset terminal device decoding order constraints, and the preset matching relation constraint related to the terminal equipment, the base station and the sub-channel, determining the current downlink time slot, the transmission power of each base station for each terminal device on each sub-channel, the phase shift of each intelligent reflecting surface, the matching factor for each terminal device and each base station, and the matching factor of each base station and each sub-channel, thereby obtaining the target communication resource allocation scheme in the current downlink time slot.

For example, in the case that the multi-cell NOMA network includes I terminal equipments, J base stations, K sub-channels and 1 intelligent reflection surface, the transmission power of the jth base station on the kth sub-channel for the ith terminal equipment is p_ijkThe phase shift matrix of the intelligent reflecting surface is theta, and the matching factor of the ith terminal equipment and the jth base station is alpha_ijThe matching factor between the jth base station and the kth sub-channel is beta_jk。

Optionally, in a specific implementation manner, the constraint of the transmission power of each base station includes: the maximum value of the transmission power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot.

Based on this, in one embodiment, the transmit power constraints for each base station include:

∑_i∑_kP_ijk≤P_max

wherein, P_ijk＝α_ijβ_jkp_ijkDenotes the allocation scheme of the transmission power of the jth base station on the subchannel k for the respective terminal device, α_ijIs the matching factor of terminal equipment i and base station j, if alpha_ijIf the value is 1, the terminal device i is associated with the base station j, otherwise, the terminal device i is associated with the base station j; beta is a_jkIs the matching factor of base station j to subchannel k, if beta_jkIf 1, then subchannel k is assigned to base station j, otherwise subchannel k is not assigned to base station j; p is a radical of_ijkFor the purpose of allocating the transmission power, P, of the terminal device i to the base station j on the subchannel k_maxThe maximum value of the transmission power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot.

Optionally, in a specific implementation manner, the data rate constraint of each terminal device includes: and in the current downlink time slot, the minimum value of the transmission rate of the downlink data required by each terminal device.

Based on this, in one embodiment, the data rate constraints of each terminal device include:

∑_j∑_kR_ijk≥R_min

wherein R is_ijk＝(W/K)log₂(1+SINR_ijk) Denotes the transmission rate of downlink data of terminal device i associated with base station j on subchannel K, W/K is the bandwidth of each subchannel, SINR_ijkFor the signal to interference plus noise ratio, R, of a terminal device i associated with a base station j on a subchannel k_minThe minimum value of the transmission rate of the downlink data required by each terminal device in the current downlink time slot.

Optionally, in a specific implementation manner, the decoding order constraint of each terminal device includes: in the current downlink timeslot, each terminal device executes a successive interference cancellation method to decode the conditions that need to be satisfied by the superimposed signal.

Based on this, in one embodiment, the decoding order constraints of each terminal device include:

wherein,

for terminal equipment

indicating i ratio of terminal device to terminal device

Decoding is performed first.

Optionally, in a specific implementation manner, the constraint on the matching relationship between the terminal device, the base station, and the sub-channel includes: in the current downlink time slot, each terminal device is only allowed to be associated with one base station, the number of the terminal devices associated with each base station is multiple and not greater than a preset maximum value, each base station is allocated with at least one sub-channel, and each sub-channel is allocated to at least one base station.

Based on this, in one embodiment, the matching relationship constraint on the terminal device, the base station, and the sub-channel includes a first relationship constraint formula, a second relationship constraint formula, a third relationship constraint formula, and a fourth relationship constraint formula;

wherein the first relationship constraint formula is:

∑_jα_ij＝1

the first relational constraint formula represents: the terminal device i is only associated with the base station j; that is, in a multi-cell NOMA network, each terminal device is associated with only one base station.

The second constraint relationship formula is:

2≤∑_iα_ij≤A_max

the second relational constraint formula represents: the number of terminal devices associated with base station j is not less than two and not more than A_max，A_maxIs a preset maximum value; that is, in a multi-cell NOMA network, the number of terminal devices associated with each base station is no less than two and no more than a_max。

The third relationship constraint equation is:

∑_kβ_jk≥1

the third relational constraint equation represents: base station j is allocated at least one subchannel k; that is, in a multi-cell NOMA network, each base station is allocated at least one subchannel.

The fourth relational constraint formula is:

∑_jβ_jk≥1

the fourth relational constraint equation represents: the subchannels k are allocated to at least one base station j, that is, each subchannel is allocated to at least one base station in a multi-cell NOMA network.

Based on this, in the embodiment of the present invention, the matching relationship constraint on the terminal device, the base station, and the sub-channel may be expressed as: in a multi-cell NOMA network, each terminal device is associated with only one base station, and the number of terminal devices associated with each base station is not less than two and not more than A_maxEach base station is assigned at least one subchannel and each subchannel is assigned to at least one base station.

S203: and controlling the plurality of terminal equipment, the at least one intelligent reflecting surface and the plurality of base stations to allocate corresponding communication resources for the base stations according to the target communication resource allocation scheme, so that the plurality of base stations transmit downlink data to the plurality of terminal equipment on the plurality of sub-channels based on the target communication resource allocation scheme.

After obtaining the target communication resource allocation scheme, the terminal device may send the target communication resource allocation scheme to each base station through a communication link with each base station; therefore, after obtaining the target communication resource allocation scheme, each base station may first determine an association relationship between each terminal device and each sub-channel according to the matching factor of each terminal device and each base station and the matching factor of each base station and each sub-channel in the target communication resource allocation scheme.

Furthermore, after determining the association relationship between each terminal device and each sub-channel, each base station may allocate the transmission power of each associated terminal device on the associated sub-channel according to the transmission power of each base station for each terminal device on each sub-channel in the target communication resource allocation scheme.

In addition, at least one of the base stations may send the position of each intelligent reflecting surface to each intelligent reflecting surface according to the phase shift of each intelligent reflecting surface in the target communication resource allocation scheme, so that each intelligent reflecting surface adjusts the phase shift of the included reflecting unit according to its own phase shift.

Optionally, in a specific implementation manner, if the multi-cell NOMA network includes only one intelligent reflecting surface, in this specific implementation manner, in step S202, based on the obtained first channel responses, second channel responses, third channel responses, preset transmit power constraints of base stations, preset data rate constraints of terminal devices, preset decoding order constraints of terminal devices, and preset matching relationship constraints on the terminal devices, the base stations, and the sub-channels, determining a target communication resource allocation scheme in the current downlink timeslot may include the following step a:

step A: based on the obtained first channel responses, second channel responses, third channel responses, preset base station transmitting power constraints, preset terminal equipment data rate constraints, preset terminal equipment decoding sequence constraints and preset matching relation constraints related to the terminal equipment, the base station and the sub-channels, solving preset downlink and data rate optimization equations to obtain a target communication resource allocation scheme in the current downlink time slot;

wherein, the downlink and data rate optimization equation is:

max∑_i∑_j∑_kR_ijk

And the downlink and data rate optimization equations meet preset constraints on the transmitting power of each base station, preset constraints on the data rate of each terminal device, preset constraints on the decoding sequence of each terminal device, and preset constraints on the matching relationship among the terminal devices, the base stations and the sub-channels.

Based on this, optionally, in a specific implementation manner, the downlink and data rate optimization equation satisfies the following preset condition formula:

wherein,

decoding the order constraint for each terminal device, representing: in the target communication resource allocation scheme, if the terminal device is i compared with the terminal device

Decoding first, i.e.

And, a terminal device

Signal-to-interference-and-noise ratio difference with terminal equipment i

Should be greater than zero;

for each terminal device data rate constraint, it is expressed that: in the target communication resource allocation scheme, the transmission rate of the downlink data of each terminal device is not less than the minimum value R of the transmission rate of the downlink data required by the terminal device_min；

Each base station transmit power constraint, representing: in the target communication resource allocation scheme, the power allocated by each base station to the associated terminal equipment is not more than the maximum value P of the transmission power which can be provided by the base station_maxWherein P is_ijk＝α_ijβ_jkp_ijkIndicating the distribution scheme of the transmission power of the jth base station on the subchannel k for each terminal device;

∑_jα_ij1 is a first relationship constraint formula in the matching relationship constraint on the terminal device, the base station and the sub-channel, and represents: in the target communication resource allocation scheme, each terminal device is only allowed to be associated with one base station;

2≤∑_iα_ij≤A_maxfor a second relationship constraint formula in the matching relationship constraint with respect to the terminal device, the base station and the sub-channel, it is expressed that: in the target communication resource allocation scheme, the number of terminal devices associated with each base station is not less than two and not more than A_max；

∑_kβ_jkAnd ≧ 1 is a third relation constraint formula in the matching relation constraint related to the terminal equipment, the base station and the sub-channel, and represents: in the target communication resource allocation scheme, each base station is allocated with at least one subchannel;

∑_jβ_jkand ≧ 1 is a fourth relation constraint formula in the matching relation constraint related to the terminal equipment, the base station and the sub-channel, and represents: in the target communication resource allocation scheme, each subchannel is allocated to at least one base station.

Optionally, in a specific implementation manner, the step a, based on the obtained first channel responses, second channel responses, third channel responses, preset constraints on transmission power of each base station, preset constraints on data rate of each terminal device, preset constraints on decoding order of each terminal device, and preset constraints on matching relationships between terminal devices, base stations, and subchannels, solves a preset downlink and data rate optimization equation to obtain a target communication resource allocation scheme in a current downlink timeslot, may include the following steps a1-a 2:

step A1: splitting a downlink and data rate optimization equation into a first sub optimization equation, a second sub optimization equation and a third sub optimization equation according to preset transmission power constraints of each base station, preset data rate constraints of each terminal device, preset decoding sequence constraints of each terminal device and preset matching relation constraints related to the terminal device, the base station and sub channels;

wherein, the optimization variables of the first sub-optimization equation are: the transmission power of each base station for each terminal device on each subchannel is the optimization variable of the second sub-optimization equation: the phase shift of each intelligent reflecting surface and the optimization variables of the third sub-optimization equation are as follows: a matching factor for each terminal device and each base station, and a matching factor for each base station and each sub-channel.

Step A2: and respectively obtaining a target communication resource allocation scheme in the current downlink time slot based on the obtained first channel responses, second channel responses and third channel responses and the first sub-optimization equation, the second sub-optimization equation and the third sub-optimization equation.

After the downlink and data rate optimization equation is split into a first sub optimization equation, a second sub optimization equation and a third sub optimization equation, the control device may respectively solve the first sub optimization equation, the second sub optimization equation and the third sub optimization equation based on the obtained first channel responses, second channel responses and third channel responses, and then may obtain a target communication resource allocation scheme in the current downlink time slot after obtaining results of the first sub optimization equation, the second sub optimization equation and the third sub optimization equation.

Since the optimization variable of the first sub-optimization equation is the transmission power of each base station for each terminal device on each subchannel, the transmission power of each base station for each terminal device on each subchannel in the target communication resource allocation scheme can be obtained by solving the first sub-optimization equation;

since the optimization variable of the second sub-optimization equation is the phase shift of each intelligent reflecting surface, the phase shift of each intelligent reflecting surface in the target communication resource allocation scheme can be obtained by solving the second sub-optimization equation;

since the optimization variables of the third sub-optimization equation are: and solving the third sub-optimization equation to obtain the matching factor for each terminal device and each base station and the matching factor for each base station and each sub-channel in the target communication resource allocation scheme.

Therefore, after the results of the first sub-optimization equation, the second sub-optimization equation and the third sub-optimization equation are obtained, the target communication resource allocation scheme in the current downlink time slot can be obtained accordingly.

wherein,

furthermore, in an embodiment of this specific implementation manner, the solving method of the first sub-optimization formula may be:

subject the above constraint conditions

Conversion to:

I_ththe interference threshold value is the interference threshold value between each cell in the preset multi-cell NOMA network.

Furthermore, another embodiment based on the above embodiment can be utilized

The convex upper boundary of (1), the above

And (3) converting into:

wherein λ is_ijkMore than 0 is auxiliary variable;

further, the equation obtained after the above reconversion may be solved by using a convex optimization method, so as to obtain the transmission power of each base station for each terminal device on each subchannel in the target communication resource allocation scheme.

find Θ

and, the second sub-optimization equation has the following constraints:

wherein,

denotes g_ikThe conjugate of (2) transposes the vector.

Furthermore, in an embodiment of this specific implementation manner, the solution manner of the second sub-optimization equation may be:

firstly, in a target communication resource allocation scheme obtained based on the solution of a first sub-optimization equation, the transmission power p of each base station for each terminal device on each subchannel_ijkAnd an auxiliary variable gamma in the first sub-optimization equation_ijkAnd converting the problem represented by the second sub-optimization equation into a feasible domain detection problem, and then solving the feasible domain detection problem by using a continuous convex approximation method to determine the phase shift of each intelligent reflecting surface in the target communication resource allocation scheme.

Optionally, the converting the problem represented by the second sub-optimization equation into a feasible domain detection problem includes: converting the second sub-optimization equation into: an equivalence sub optimization equation of the phase shift of the intelligent reflecting surface and an equivalence constraint condition formula of the phase shift of the intelligent reflecting surface;

the equation of equivalence sub-optimization of the phase shift of the intelligent reflecting surface is as follows:

find V

wherein V ═ V₁，v₂，...，v_M]^H，

Phase shift of the mth reflection unit;

the equivalent constraint condition formula of the phase shift of the intelligent reflecting surface is as follows:

wherein,

x_ijkand y_ijkAre respectively | h_ijk+V^Hρ_ijkReal and imaginary parts of |, x_ijkAnd y_ijkAre respectively | h_ijk+V^Hρ_ijkReal and imaginary parts of | real (·), real (·) is taken as the real part, and imag (·) is taken as the imaginary part.

Further, optionally, the feasible domain detection problem is solved by using a continuous convex approximation method, and the phase shift of each intelligent reflecting surface in the target communication resource allocation scheme is determined, including; equivalent constraint formula of phase shift of intelligent reflecting surface

First order taylor approximation.

Based on an equivalent constraint condition formula of the phase shift of the intelligent reflecting surface, the following formula is determined:

wherein,

equation of equivalent constraint for phase shift of intelligent reflecting surface

Is a first-order taylor approximation of (a),

any point in the feasible domain for which a problem is detected.

wherein,

for the set of matching factors for each terminal device and each base station,

furthermore, in an embodiment of this specific implementation manner, the solution manner of the third sub-optimization equation may be:

firstly, in a target communication resource allocation scheme obtained based on the solution of a first sub-optimization equation, the transmission power p of each base station for each terminal device on each subchannel_ijkAnd on the basis of the phase shift theta of each intelligent reflecting surface in the target communication resource allocation scheme obtained by solving the first sub-optimization equation, the third sub-optimization equation is used for solving the phase shift theta of each intelligent reflecting surfaceThe problem represented by the process is converted into two-dimensional matching problems, then, the matching problem of each terminal device and each base station is solved by utilizing a many-to-one matching algorithm, the matching factor of each terminal device and each base station is determined, the matching problem of each base station and each sub-channel is solved by utilizing a many-to-many matching algorithm, and the matching factor of each base station and each sub-channel is determined.

Based on this, optionally, when solving the third sub-optimization equation, a matching object, a matching function, an exchange matching, and an exchange matching pair may be defined first.

In the matching process, a player e and a current matching object w thereof can be marked as (e, w), and a player e 'and a current matching object w' thereof can be marked as (e ', w');

the matching function μ is: μ (e) ═ w, μ (e ') ═ w';

exchange matching

Comprises the following steps: changing the current matching relationship from (e, w), (e, w ') to (e ', w), (e, w ');

the exchange matching pairs are: when simultaneously satisfying (1)

(2)

Player e and player e' are referred to as a pair of swap matched pairs; wherein, U_q(μ) represents the practical value of player q under the matching function μ, and optionally the practical value may be the achievable downstream data rate; the match state is bilateral swap-stable if and only if no swap-match pair exists under the match function μ.

Based on this, the matching problem of each terminal device and each base station is solved by using a many-to-one matching algorithm, and the matching factor of each terminal device and each base station is determined, which may include the following steps one to three;

the method comprises the following steps: each terminal device provides a matching request to one base station which is most preferred and has not rejected, each base station accepts a plurality of most preferred terminal devices and rejects other terminal devices, and the matching state initialization is completed until no unmatched terminal devices exist;

among them, the base station most preferred by the terminal device can be understood as: for a plurality of base stations, if a terminal device can realize the highest data rate when being associated with the jth base station, the jth base station is called as the base station which is the most preferred base station of the terminal device;

the most preferred terminal device of the base station can be understood as: for a plurality of terminal devices, if a base station can achieve the highest data rate when being associated with the ith terminal device, the ith terminal device is called as the terminal device which is "most preferred" by the base station.

Step two: each terminal device searches another terminal device and checks whether the two terminal devices form an exchange matching pair, if the exchange matching pair is formed, the matching state of the two terminal devices and respective base stations is exchanged, and if the exchange matching pair is not formed, the existing matching state is kept;

step three: and repeating the step two until no matching exchange pair exists, determining the matching relation between each terminal device and each base station, and acquiring the matching factor of each terminal device and each base station.

Further, solving the matching problem of each base station and each sub-channel by using a many-to-many matching algorithm, and determining a matching factor for each base station and each sub-channel, which may include the following steps one to four;

the method comprises the following steps: each terminal device and the matched base station are marked as a unit, each unit makes a matching request to a plurality of sub-channels which are most preferred and have not rejected, each sub-channel accepts the most preferred units and rejects other units, and the matching state initialization is completed until no unmatched unit exists, so that the set is initialized

The practicability brought by the temporary storage exchange matching exchange pair;

step two: each sheetSearching another unit and checking whether the two units form an exchange matching pair, if so, temporarily storing the practicability brought by the exchange matching state of the two units into a set

If the matching exchange pair is not formed, the existing matching state is kept;

step three: selecting a set

Exchanging the matching state with the exchange matching pair corresponding to the maximum practicability;

step four: and repeating the second step and the third step until no matching exchange pair exists, determining the matching relation between each unit and each subchannel, and further acquiring the matching factors of each base station and each subchannel.

Corresponding to the communication resource allocation scheme provided by the embodiment of the invention, the embodiment of the invention also provides a communication resource allocation device.

Wherein the apparatus is applied to a control device in a multi-cell NOMA network; the multi-cell NOMA network further comprises: the system comprises a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels and at least one intelligent reflecting surface.

Fig. 3 is a schematic structural diagram of a communication resource allocation apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus may include the following modules:

a response obtaining module 310, configured to obtain, in each preset downlink timeslot, a first channel response from each base station to each terminal device on each subchannel, a second channel response from each intelligent reflector to each terminal device on each subchannel, and a third channel response from each base station to each intelligent reflector on each subchannel in a current downlink timeslot;

a scheme determining module 320, configured to determine a target communication resource allocation scheme in the current downlink timeslot based on the obtained first channel responses, second channel responses, third channel responses, preset constraints on transmit power of each base station, preset constraints on data rate of each terminal device, preset constraints on decoding order of each terminal device, and preset constraints on matching relationships among the terminal devices, the base stations, and subchannels; wherein the target communication resource allocation scheme comprises: the transmission power of each base station for each terminal device, the phase shift of each intelligent reflecting surface, the matching factor of each terminal device and each base station and the matching factor of each base station and each sub-channel on each sub-channel;

a resource allocation module 330, configured to control the multiple terminal devices, the at least one intelligent reflective surface, and the multiple base stations to allocate corresponding communication resources to themselves according to the target communication resource allocation scheme, so that the multiple base stations send downlink data to the multiple terminal devices on the multiple sub-channels based on the target communication resource allocation scheme.

Alternatively, in one particular implementation,

the respective base station transmit power constraints include:

∑_i∑_kP_ijk≤P_max

wherein, P_ijk＝α_ijβ_jkp_ijkDenotes the allocation scheme of the transmission power of the jth base station on the subchannel k for the respective terminal device, α_ijIs the matching factor of terminal equipment i and base station j, if alpha_ijIf the value is 1, the terminal device i is associated with the base station j, otherwise, the terminal device i is associated with the base station j; beta is a_jkIs the matching factor of base station j to subchannel k, if beta_jkIf 1, then subchannel k is assigned to base station j, otherwise subchannel k is not assigned to base station j; p is a radical of_ijkFor being on a sub-channelk, the transmission power, P, allocated to the terminal device i by the base station j_maxThe maximum value of the transmitting power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot;

the data rate constraints of each terminal device include:

∑_j∑_kR_ijk≥R_min

the decoding order constraints of the terminal devices comprise:

wherein,

for terminal equipment

indicating i ratio of terminal device to terminal device

Firstly, decoding;

wherein the first relational constraint formula is:

∑_jα_ij＝1

the first relational constraint equation represents: the terminal device i is only associated with the base station j;

the second constraint relationship formula is:

2≤∑_iα_ij≤A_max

the third relationship constraint formula is as follows:

∑_kβ_jk≥1

the fourth relationship constraint formula is:

∑_jβ_jk≥1

Optionally, in a specific implementation, the multi-cell NOMA network includes an intelligent reflecting surface; the scheme determining module 320 includes:

a scheme determining submodule, configured to solve a preset downlink and data rate optimization equation based on the obtained first channel responses, second channel responses, third channel responses, preset base station transmit power constraints, preset terminal device data rate constraints, preset terminal device decoding order constraints, and preset matching relationship constraints on the terminal devices, the base stations, and the subchannels, so as to obtain a target communication resource allocation scheme in the current downlink timeslot; wherein the downlink and data rate optimization equations are:

max∑_i∑_j∑_kR_ijk

Optionally, in a specific implementation manner, the scheme determining submodule is specifically configured to:

wherein,

γ_ijkas auxiliary variables, SINR_ijkIs lower bound; and areAnd, the first sub-optimization equation has the following constraints:

find Θ

and, the second sub-optimization equation has the following constraints:

wherein,

denotes g_ikThe conjugate of (2) transposes the vector.

wherein,

for the set of matching factors for each terminal device and each base station,

corresponding to the communication resource allocation scheme provided by the above embodiment of the present invention, an embodiment of the present invention further provides an electronic device, where the electronic device is a control device in a multi-cell NOMA network, and the multi-cell NOMA network may further include a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels, and at least one intelligent reflection surface.

As shown in fig. 4, the electronic device includes a processor 401, a communication interface 402, a memory 403 and a communication bus 404, wherein the processor 401, the communication interface 402, the memory 403 communicate with each other via the communication bus 404,

a memory 403 for storing a computer program;

the processor 401 is configured to implement the steps of any communication resource allocation method provided in the above-mentioned embodiments of the present invention when executing the program stored in the memory 403.

The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the electronic equipment and other equipment.

The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.

In another embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any of the communication resource allocation methods provided in the embodiments of the present invention.

In a further embodiment of the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the steps of any of the communication resource allocation methods provided in the embodiments of the present invention described above.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, apparatus embodiments, electronic device embodiments, computer-readable storage medium embodiments, and computer program product embodiments are described with relative simplicity as they are substantially similar to method embodiments, where relevant only as described in portions of the method embodiments.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. A communication resource allocation method is characterized in that the method is applied to control equipment in a multi-cell non-orthogonal multiple access (NOMA) network; the multi-cell NOMA network further comprises: the system comprises a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels and at least one intelligent reflecting surface; the method comprises the following steps:

2. The method of claim 1,

the respective base station transmit power constraints include: the maximum value of the transmitting power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot;

the data rate constraints of each terminal device include: in the current downlink time slot, the minimum value of the transmission rate of the downlink data required by each terminal device;

the decoding order constraints of the terminal devices comprise: in the current downlink time slot, each terminal device executes a serial interference cancellation method to decode the conditions required to be met by the superposed signals;

the matching relationship constraints on the terminal device, the base station and the sub-channels include: in the current downlink time slot, each terminal device is only allowed to be associated with one base station, the number of the terminal devices associated with each base station is multiple and not greater than a preset maximum value, each base station is allocated with at least one sub-channel, and each sub-channel is allocated to at least one base station.

3. The method of claim 2,

the respective base station transmit power constraints include:

∑_i∑_kP_ijk≤P_max

wherein, P_ijk＝α_ijβ_jkp_ijkDenotes the allocation scheme of the transmission power of the jth base station on the subchannel k for the respective terminal device, α_ijIs the matching factor of terminal equipment i and base station j, if alpha_ijIf the value is 1, the terminal device i is associated with the base station j, otherwise, the terminal device i is associated with the base station j; beta is a_jkIs the matching factor of base station j to subchannel k, if beta_jkIf 1, then subchannel k is assigned to base station j, otherwise subchannel k is not assigned to base station j; p is a radical of_ijkFor the purpose of allocating the transmission power, P, of the terminal device i to the base station j on the subchannel k_maxThe maximum value of the transmitting power which can be provided by each base station to the terminal equipment associated with the base station in the current downlink time slot;

the data rate constraints of each terminal device include:

∑_j∑_kR_ijk≥R_min

wherein R is_ijk＝(W/K)log₂(1+SINR_ijk) Denotes the transmission rate of downlink data of terminal device i associated with base station j on subchannel K, W/K is the bandwidth of each subchannel, SINR_ijkFor the signal to interference plus noise ratio, R, of a terminal device i associated with a base station j on a subchannel k_minIs the current downlinkIn the time slot, the minimum value of the transmission rate of the downlink data required by each terminal device;

the decoding order constraints of the terminal devices comprise:

wherein,

for terminal equipment

indicating i ratio of terminal device to terminal device

Firstly, decoding;

wherein the first relational constraint formula is:

∑_jα_ij＝1

the second constraint relationship formula is:

2≤∑_iα_ij≤A_max

the third relationship constraint formula is as follows:

∑_kβ_jk≥1

the fourth relationship constraint formula is:

∑_jβ_jk≥1

4. The method of claim 3 wherein said multi-cell NOMA network includes an intelligent reflector; the step of determining the target communication resource allocation scheme in the current downlink timeslot based on the obtained first channel responses, second channel responses, third channel responses, preset constraints on the transmission power of each base station, preset constraints on the data rate of each terminal device, preset constraints on the decoding order of each terminal device, and preset constraints on the matching relationship among the terminal devices, the base stations, and the sub-channels includes:

max∑_i∑_j∑_kR_ijk

wherein alpha is_ij、β_jk、p_ijkAnd Θ is the optimization of the downlink and data rate optimization equationsThe variable, Θ, is the phase shift of the intelligent reflecting surface.

5. The method of claim 4, wherein the step of solving the preset downlink and data rate optimization equations to obtain the target communication resource allocation scheme in the current downlink timeslot based on the obtained first channel responses, second channel responses, third channel responses, preset base station transmit power constraints, preset terminal device data rate constraints, preset terminal device decoding order constraints, and preset matching relationship constraints on terminal devices, base stations, and subchannels comprises:

6. The method of claim 5, wherein the first sub-optimization equation is:

wherein,

7. the method of claim 5, wherein the second sub-optimization equation is:

findΘ

and, the second sub-optimization equation has the following constraints:

wherein,

denotes g_ikThe conjugate of (2) transposes the vector.

8. The method of claim 5, wherein the third sub-optimization equation is:

wherein,

for the set of matching factors for each terminal device and each base station,

9. a communication resource allocation apparatus, wherein the apparatus is applied to a control device in a multi-cell non-orthogonal multiple access (NOMA) NOMA network; the multi-cell NOMA network further comprises: the system comprises a plurality of base stations, a plurality of terminal devices, a plurality of sub-channels and at least one intelligent reflecting surface; the device comprises:

10. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;

a memory for storing a computer program;

a processor for implementing the method steps of any of claims 1 to 8 when executing a program stored in the memory.