CN105704721A - D2D-P multiplexing cellular network communication method capable of increasing frequency spectrum utilization rate - Google Patents

D2D-P multiplexing cellular network communication method capable of increasing frequency spectrum utilization rate Download PDF

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CN105704721A
CN105704721A CN201610019020.2A CN201610019020A CN105704721A CN 105704721 A CN105704721 A CN 105704721A CN 201610019020 A CN201610019020 A CN 201610019020A CN 105704721 A CN105704721 A CN 105704721A
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matrix
cellular network
cellular
transmitter
interference
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CN105704721B (en
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王欢
李莉
王珍
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Shanghai Normal University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10Dynamic resource partitioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/541Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to a D2D-P multiplexing cellular network communication method capable of increasing a frequency spectrum utilization rate. The method comprises the following steps of S1, establishing a cellular network; S2, according to Hk,m, using an interference alignment method to acquire a solution set of an N row and d column precoding matrix Fm of each D2D-Pm; S3, calculating an interference matrix Hk,mFm of the D2D-Pm to CUk and designing an N row and d column cellular user postposition coding matrix Wk orthogonal to the Hk,mFm; S4, using the interference alignment method based on a minimum mean square error to acquire transmitter precoding matrixes Fm and receiver postposition coding matrixes Gm of all the D2D-Pm and carrying out communication; S5, setting a SINR threshold omegath of the D2D-Pm and determining whether the D2D-Pm is connected to the cellular network; S6, using an improved water injection power distribution method to send power to all the D2D-Pm distribution; and S7, according to results of the step S2 to the step S6, carrying out communication. Compared to the prior art, by using the method, interferences of the D2D-Ps on a cellular user are aligned to a cellular user position; a communication priority of the cellular user is guaranteed; mutual interference among the D2D-Ps is controlled and a D2D-P sum rate is increased.

Description

D2D-P multiplexing cellular network communication method for improving frequency spectrum utilization rate
Technical Field
The invention relates to a cellular network communication method, in particular to a D2D-P multiplexing cellular network communication method for improving the frequency spectrum utilization rate.
Background
With the rapid development of wireless communication, how to maximize the utilization of spectrum resources under the condition of limited spectrum resources has been a hot point of research. In a cellular network, a device-to-device user pair (D2D-P) is added to the cellular network to multiplex the spectrum resources thereof, which can improve the spectrum utilization rate, but will bring inevitable interference to cellular users, affecting the performance indexes such as the transmission rate of the cellular users.
Aiming at the problems that the cellular network has low utilization rate of frequency spectrum resources and D2D-P causes interference to the cellular network, the following methods are proposed by DaquanFang et al (DaquanFang, LuLuLuLuLu, Yiyuan-Wu, GeoffreyYeLi, GangFeng, ShaoqianLi. device-to-device communications underwritingCellularnets, IEEETRANSACTIONCOMMUNICATIONS, VOL.61, NO.8, pp.3541-3551, AUGUST 2013): by setting a threshold value in advance, selecting qualified D2D-P, then distributing power to potential cellular users and the qualified D2D-P, finally, selecting proper users from the potential cellular users to match with the qualified D2D-P, and maximizing the throughput gain and the access rate of the system by selecting proper range D2D-P, cellular network coverage, active cellular users and the number of D2D-P. The method is limited in the uplink of the cellular network, only ensures the communication requirements of partial cellular users, and does not specifically eliminate the interference caused by the addition of D2D-P into the cellular network.
LuYang et al (LuYang, WeiZhang, Shijin, "interference alignment device-to-device LANderlingering cellular networks", IEEE TRANSACTIONWIRELIES communications, VOL.14, NO.7, PP.3715-3723, July,2015.) use an interference alignment algorithm to resolve the interference caused by the D2D-P multiplexed spectrum resources by: (1) when the uplink of the base station is not fully occupied by cellular users, aligning the interference of D2D-P to the cellular users into these idle links, thereby protecting the cellular users from interference; (2) when the base station uplink is fully occupied, D2D-P can occupy part of the uplink, and when an interference threshold is set, the occupied link interference is controlled below the threshold, thereby controlling the interference to the cellular user. Although the method eliminates the interference of D2D-P to the communication link of the cellular user, when the cellular users are more, the interference caused by D2D-P can not be completely eliminated, and the performance indexes such as the number of accessed D2D-P, the transmission rate and the like are not considered, and only the interruption probability of the D2D-P accessing the cellular network is considered.
JianmoJiang et al (JianmoJiang, MugenPeng, WenboWang, KechengZhang, "energy efficiency information based on estimating information for Device-to-Device MIMOdownLinked cellular network", IEEEGlobom 2013Workshop-International working home Device-to-Device (D2D) communication With and WithwithoutInastmastructure, PP.585-590,2013.) apply the interference alignment algorithm to eliminate the cellular network downlink interference as follows: firstly, the coding technology is adopted to eliminate the interference caused by the addition of D2D-P into the cellular network. Then, aligning the interference between the cellular users to a specific signal dimension by using an interference alignment algorithm, and ensuring that the cellular users are not interfered; finally, post-coding and linear precoding are optimized to maximize the energy efficiency of D2D-P. The interference brought by the D2D-P joining the cellular network and the interference among cellular users are considered, but the performance indexes of the D2D-P communication indexes such as throughput, bit error rate and the like are not considered.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a D2D-P multiplexing cellular network communication method which has low interference, high D2D-P and high rate and improves the spectrum utilization rate.
The purpose of the invention can be realized by the following technical scheme:
a D2D-P multiplexing cellular network communication method for improving spectrum utilization rate is characterized by comprising the following steps:
s1, establishing a cellular network, wherein the cellular network comprises a cellular base station and K cellular user CUskAnd M pairs of device-user pairs D2D-PmK is 1,2, …, K, M is 1,2, …, M, said D2D-PmThe cellular user, the transmitter and the receiver are respectively provided with N transmitting antenna numbers and N receiving antenna numbers, and a signal vector Z sent from the transmitter to the receivermIs D row, 1 column, D2D-PmTo CUkOf the channel matrix Hk,mN rows and N columns;
s2, according to Hk,mObtaining D2D-P by interference alignmentmN rows and d columns precoding matrix FmThe solution set of (1);
s3, calculating D2D-PmFor CUkInterference matrix H ofk,mFmDesigned to be orthogonal to Hk,mFmN lines ofD-column cellular user postcode matrix Wk,k=1,2,…,K;
S4, obtaining all D2D-P by interference alignment method based on minimum mean square errormTransmitter precoding matrix FmAnd receiver postcoding matrix GmAnd performs cellular network communication to acquire each cellular subscriber CUkSignal to interference plus noise ratio (SINR);
s5, setting D2D-PmSINR threshold ωthIf D2D-PmSINR of less than ωthThen the D2D-P is addedmAccessing cellular network and setting βmValue 1, otherwise set βmA value of 0;
s6, precoding matrix F according to the transmittermAnd βmAll D2D-P are subjected to improved water injection power distribution methodmAllocating transmission power Pm
And S7, performing cellular network communication according to the matrix calculation result and the power distribution result of the steps S2-S6.
The step S2 specifically includes: all D2D-PmFor CUkInterference matrix H ofk,mFmAlign to the CUkOn the same signal subspace of the receiving end, the following specific equations are provided:
span(Hk,1F1)=...=span(Hk,mFm)=...=span(Hk,MFM)
where K is 1,2, …, K, span (a) denotes the subspace spanned by the column vectors of matrix a.
The step S4 specifically includes the following steps:
s41, calculating a transmitter precoding matrix F received by the receivermProcessed signal level SmAnd SmPost-coding matrix G via receivermSignal level obtained after processing
S42, definition of all D2D-PmSignal level mean square error sumMSEThe following were used:
ϵ M S E = Σ m = 1 M E { | | S m ‾ - S m | | 2 } = Σ m = 1 M E { | | G m H S m - S m | | 2 }
the optimization problem is solved using the lagrangian multiplier method as follows:
min G m , F m ϵ M S E s . t . | | F m | | F 2 = P m
wherein E {. represents the mathematical expectation, | | | X | | ceiling2The square of the norm of the matrix X is represented,f norm, P, representing matrix XmIs D2D-PmThe power of the transmission is set to be,p is the total transmit power of all D2D-ps.
In the step S41, the transmitter pre-codes the matrix FmProcessed signal level SmThe following formula is specifically calculated:
S m = P m H m , m F m Z m + Σ j = 1 , j ≠ m M P j H m , j F j Z j + n m
wherein, PmIs D2D-PmTransmission power of the transmitter, Hm,mIs D2D-PmN-row, N-column channel matrix, H, from transmitter to receiverm,jIs D2D-PjTransmitter to D2D-PmN-row, N-column channel matrix, N, of a receivermIs D2D-PmAmbient noise received by the receiver.
The step S42 specifically includes the following steps:
s420, introducing a Lagrange multiplier lambdamTo obtain the Lagrangian function:
L ( F m , G m , λ m ) = ϵ M S E + λ m ( | | F m | | F 2 - P m )
wherein,MSEsee definition of S42.
S421 for G in Lagrange function respectivelym、FmTaking the partial derivative and making the partial derivative zero, we get equation (1) (2):
F m = ( Σ j = 1 M H j , m G j G j H H j , m H + λ m I ) - 1 H m , m H G m H - - - ( 1 )
G m = F m H H m , m H ( Σ j = 1 M H m , j F j F j H ( H m , j ) H + σ 2 I ) - 1 - - - ( 2 )
wherein M is 1,2, …, M, sigma2For ambient noise nmAnd E { n }mnm H}=σ2I, I is an N-order identity matrix;
s422, initializing a precoding matrix FmObtaining a random matrix of N rows and d columns for the random matrix;
s423, calculating by the formula (2) to obtain a post-coding matrix Gm
S424, substituting the formula (1) into the power limiting conditionFind lambdammNot less than 0), lambda is addedmSubstitution of formula (1), update Fm
S425, calculating the sum of mean square errorsMSE
S426, repeating the steps from the step 423 to the step 425 untilMSEConverge to obtain GmAnd Fm
In the S5, D2D-PmCommunication SINR threshold value omegathComprises the following steps: the cellular users participating in the communication measure the SINR of the local received signal and send the signal to the cellular base station through a feedback channel, and the cellular base station sets the minimum SINR to be D2D-P communication SINR threshold value omegath. The local received signals comprise all interference of D2D-P to cellular users and signals sent by the base station to all the cellular users; a cellular subscriber receives signals transmitted by the base station to all cellular subscribers, including desired signals and undesired signals, which are considered interference.
In S6, the improved water injection power distribution method is used for solving the D2D-PmTransmission power PmThe calculation method comprises the following steps:
Pm=βm(μ/γm-1)+
wherein mu is the level of water injection and satisfiesγmIs D2D-PmThe channel gain of (a) is determined,p is the total transmit power of all D2D-P, function (x)+Max (x,0) denotes taking the larger of the real numbers x and 0.
Compared with the prior art, the invention has the following advantages:
(1) the interference of the D2D-P to the cellular user is aligned to the cellular user, and the interference of the D2D-P to the cellular user is eliminated by adopting a post-coding technology, so that the communication priority of the cellular user is ensured.
(2) And the interference between D2D-P is processed by adopting the interference alignment technology based on the minimum mean square error, and a coding matrix of the minimum D2D-P mean square error is calculated, so that the mutual interference between D2D-P is controlled.
(3) Judging whether the D2D-P is accessed to the cellular network or not through a hard decision function, and utilizing an improved water injection power distribution method to perform network addition on the D2D-PmAllocating transmission power PmThe D2D-P sum rate is improved.
Drawings
FIG. 1 is a diagram illustrating coexistence interference between cellular users and device users in a cellular network according to the present invention;
FIG. 2 is an overall flow chart of the present invention;
FIG. 3 is a detailed flow chart of the method of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Examples
Fig. 1 is a schematic diagram of coexistence of device-to-device user pairs and cellular users in a cellular network, where the network includes a cellular base station, and the base station is evolved base stations (evolvednodes) of LTE-a (long term evolution-Advanced) standard, and covers the cellular users and the device-to-device user pairs completely. Within its coverage area, there are randomly distributed K cellular users and M pairs of D2D-P, where D2D-P is divided into transmitter and receiver. The number of the cellular users, the number of the D2D-P transmitting antennas and the number of the receiving antennas are all set to be 2, and 2 cellular users and 2 pairs of D2D-P, D2D-P and cellular users can obtain complete channel state information within the coverage range of the cellular base station.
Fig. 2 is a flowchart of a D2D-P multiplexing cellular network communication method for improving spectrum utilization, comprising the following steps:
s1, establishing a cellular network, wherein the cellular network comprises a cellular base station and K cellular user CUskAnd M pairs of device-user pairs D2D-PmK is 1,2, …, K, M is 1,2, …, M, said D2D-PmThe system comprises a transmitter and a receiver, wherein the number of transmitting antennas and the number of receiving antennas of a cellular user, the transmitter and the receiver are N, and a signal vector sent to the receiver by the transmitter is Z with d rows and 1 columnm,D2D-PmTo CUkThe channel matrix is H with N rows and N columnsk,m
S2, according to Hk,mObtaining D2D-P by interference alignmentmN rows and d columns precoding matrix FmThe solution set of (1);
s3, calculating D2D-PmFor CUkInterference matrix ofHk,mFmDesigned to be orthogonal to Hk,mFmN rows and d columns of cellular subscriber postcode matrix Wk
S4, obtaining all D2D-P by interference alignment method based on minimum mean square errormTransmitter precoding matrix FmAnd receiver postcoding matrix GmStarting a cellular network to communicate;
s5, setting D2D-PmSINR threshold ωthIf D2D-PmSINR of less than ωthThen the D2D-P is addedmAccess cellular network, setup βmRepresents D2D-PmWhether to access the cellular network, access βmValue 1, otherwise βmA value of 0;
s6, precoding matrix F according to the transmittermAnd βmAll D2D-P are subjected to improved water injection power distribution methodmAllocating transmission power Pm
And S7, performing cellular network communication according to the matrix calculation result and the power distribution result of the steps S2-S6.
The step S2 specifically includes: all D2D-PmFor CUkInterference matrix H ofk,mFmAlign to the CUkOn the same signal subspace of the receiving end, the following specific equations are provided:
span(Hk,1F1)=...=span(Hk,mFm)=...=span(Hk,MFM)
where K is 1,2, …, K, span (a) denotes the subspace spanned by the column vectors of matrix a.
The step S4 specifically includes the following steps:
s41, calculating a transmitter precoding matrix F received by the receivermProcessed signal level SmAnd post-coding matrix G via the receivermProcessed signal level
S42, definition of all D2D-PmSignal level mean square error sumMSEThe following were used:
ϵ M S E = Σ m = 1 M E { | | S m ‾ - S m | | 2 } = Σ m = 1 M E { | | G m H S m - S m | | 2 }
the optimization problem is solved using the lagrangian multiplier method as follows:
min G m , F m ϵ M S E s . t . | | F m | | F 2 = P m
wherein, E represents the value of the expected value,f norm, P, representing matrix XmIs D2D-PmThe power of the transmission is set to be,p is the total transmit power of all D2D-ps.
In the step S41, the transmitter pre-codes the matrix FmProcessed signal level SmThe following formula is specifically calculated:
S m = P m H m , m F m Z m + Σ j = 1 , j ≠ m M P j H m , j F j Z j + n m
wherein, PmIs D2D-PmTransmission power of the transmitter, Hm,mIs D2D-PmN-row, N-column channel matrix, H, from transmitter to receiverm,jIs D2D-PjTransmitter to D2D-PmN-row, N-column channel matrix, N, of a receivermIs D2D-PmAmbient noise received by the receiver.
The step S42 specifically includes the following steps:
s420, introducing a Lagrange multiplier lambdamTo obtain the Lagrangian function:
L ( F m , G m , λ m ) = ϵ M S E + λ m ( | | F m | | F 2 - P m )
wherein,MSEsee definition of S42.
S421 for G in Lagrange function respectivelym、FmTaking the partial derivative and making the partial derivative zero, we get equation (1) (2):
F m = ( Σ j = 1 M H j , m G j G j H H j , m H + λ m I ) - 1 H m , m H G m H - - - ( 1 )
G m = F m H H m , m H ( Σ j = 1 M H m , j F j F j H ( H m , j ) H + σ 2 I ) - 1 - - - ( 2 )
wherein M is 1,2, …, M, sigma2For ambient noise nmAnd E { n }mnm H}=σ2I, I is an N-order identity matrix;
s422, initializing a precoding matrix FmObtaining a random matrix of N rows and d columns for the random matrix;
s423, calculating by the formula (2) to obtain a post-coding matrix Gm
S424, substituting the formula (1) into the power limiting conditionFind lambdam,λmNot less than 0, lambdamSubstitution of formula (1), update Fm
S425, calculating the sum of mean square errorsMSE
S426, repeating the steps from the step 423 to the step 425 untilMSEConverge to obtain GmAnd Fm
In the S5, D2D-PmCommunication SINR threshold value omegathComprises the following steps: the cellular users participating in the communication measure the SINR of the local received signal and send the signal to the cellular base station through a feedback channel, and the cellular base station sets the minimum SINR to be a D2D-P communication threshold value omegathThe local received signal comprises all interference of D2D-P to cellular users, and signals sent by the base station to all cellular users; a cellular subscriber receives signals transmitted by the base station to all cellular subscribers, including desired signals and undesired signals, which are considered interference.
In S6, PmThe calculation formula is as follows:
Pm=βm(μ/γm-1)+
wherein mu is the level of water injection and satisfiesγmIs D2D-PmThe channel gain of (a) is determined,p is the total transmit power of all D2D-P, function (x)+Max (x,0) denotes taking the larger of the real numbers x and 0.
The communication method is applied to the cellular network shown in fig. 1, and the steps are as follows:
(1) setting a cellular Base Station (BS) in a communication scenario0) 2 cellular subscribers (CU)1、CU2) And 2 pairs of D2D-P;
the cellular users and the D2D-P adopt multiple antennas, and the number of the transmitting antennas and the number of the receiving antennas of the cellular users and the D2D-P are both set to be 2;
D2D-Pmthe signal vector transmitted by the transmitter to the receiver is a matrix Z with 2 rows and 1 columnmM is 1 or 2;
(2) note D2D-PmTo CUkThe channel matrix of (k 1 or 2) is 2 rows and 2 columns of Hk,m,D2D-PmThe precoding matrix of (2) rows and (2) columns Fm. Mixing D2D-Pm(m is 1,2) to CUkInterference H ofk,mFmAlign to CUkOn the same signal subspace of the receiving end, the following is shown:
span(H1,1F1)=span(H1,2F2)
span(H2,1F1)=span(H2,2F2)
wherein span (A) represents the subspace of the column vector expansion of matrix A; f can be obtained from the two constraintsmThe solution set of (1);
(3) note CUk(k 1 or 2) after reception of signalSetting the coding matrix as 2 rows and 2 columns of Wk. Designing a post-coding matrix WkOrthogonal to D2D-PmFor CUkOf the interference channel matrix Hk,mFm(m ═ 1 or 2), as follows:
Wk=Null(Hk,mFm),m=1,2
where B ═ null (a), denotes that matrix B is orthogonal to matrix a;
(4) note D2D-PmThe post-coding matrix of the receiving end is G with 2 rows and 2 columnsm. Obtaining the minimum D2D-P by adopting an interference alignment algorithm based on the minimum mean square errorm(m 1 or 2) post-coding matrix G of mean square error1,G2And a precoding matrix F1,F2The steps are as follows:
a. for G in the Lagrangian function respectivelym、Fm(m ═ 1 or 2) partial derivatives are taken and their partial derivatives are made zero, yielding equations (1) (2):
F m = ( Σ j = 1 M H j , m G j G j H H j , m H + λ m I ) - 1 H m , m H G m H - - - ( 1 )
G m = F m H H m , m H ( Σ j = 1 M H m , j F j F j H ( H m , j ) H + σ 2 I ) - 1 - - - ( 2 )
where m is 1 or 2, σ2For ambient noise nmThe variance of (a);
b. initializing a precoding matrix FmA random matrix with 2 rows and 2 columns;
c. calculating by formula (2) to obtain a post-coding matrix Gm
d. Substituting equation (1) into the power limiting conditionFind lambdammNot less than 0), lambda is addedmSubstituting equation (1) to update Fm
e. Calculating mean square errorMSE
f. Repeating the steps c, d and e untilMSEConverge to obtain Gm,FmNamely, the solution is obtained;
(5) according to a precoding matrix Fm(m is 1 or 2), and the channel gain γ of D2D-Pm is calculatedmAs follows:
γ m = 1 | | F m | | 2 , m = 1 , 2
(6) measuring local received signal by cellular user participating in communicationAnd sent to the BS via a feedback channel0From BS0The minimum SINR is set as a D2D-P communication threshold omegath. Then adopting hard decision to judge D2D-PmWhether to access a cellular network, using the reference βmExpressed, as follows:
&beta; m = 1 , SINR D 2 D m < &omega; t h 0 , SINR D 2 D m &GreaterEqual; &omega; t h , m = 1 , 2
wherein, the SINRD2DmRepresents D2D-PmβmSetting the value to 0, indicating D2D-PmCan not be connectedInto a cellular network βmSetting the value to 1, representing D2D-PmAccess to a cellular network;
(7) according to gammamAnd βmAllocating D2D-P according to a modified water-filling power allocation algorithmmTransmit power PmAs follows:
Pm=βm(μ/γm-1)+,m=1,2
wherein mu is the level of water injection and satisfiesFunction (x)+Max (x,0) represents the maximum operation of the real numbers x and 0.

Claims (7)

1. A D2D-P multiplexing cellular network communication method for improving spectrum utilization rate is characterized by comprising the following steps:
s1, establishing a cellular network, wherein the cellular network comprises a cellular base station and K cellular user CUskAnd M pairs of device-to-device user pairs D2D-PmK is 1,2, …, K, M is 1,2, …, M, said D2D-PmThe cellular user, the transmitter and the receiver are respectively provided with N transmitting antenna numbers and N receiving antenna numbers, and a signal vector Z sent from the transmitter to the receivermIs D row, 1 column, D2D-PmTo CUkOf the channel matrix Hk,mN rows and N columns;
s2, according to Hk,mObtaining D2D-P by interference alignmentmN rows and d columns precoding matrix FmThe solution set of (1);
s3, calculating D2D-PmFor each CUkInterference matrix H ofk,mFmDesigned to be orthogonal to Hk,mFmN rows and d columns of each cellular user postcode matrix Wk
S4, obtaining all D2D-P by interference alignment method based on minimum mean square errormTransmitter precoding matrix FmAnd receiver postcoding matrix GmAnd performs cellular network communication to acquire each cellular subscriber CUkThe signal to interference plus noise ratio (SINR);
s5, setting D2D-PmSINR threshold ωthIf D2D-PmSINR of less than ωthThen the D2D-P is addedmAccess the cellular network and set βmValue 1, otherwise set βmA value of 0;
s6, precoding matrix F according to the transmittermAnd βmValue, using improved water injection power distribution method for all D2D-PmAllocating transmission power Pm
And S7, performing cellular network communication according to the matrix calculation result and the power distribution result of the steps S2-S6.
2. The D2D-P multiplexing cellular network communication method for improving spectrum utilization according to claim 1, wherein the step S2 specifically comprises: all D2D-PmFor CUkInterference matrix H ofk,mFmAlign to the CUkOn the same signal subspace of the receiving end, the following specific equations are provided:
span(Hk,1F1)=...=span(Hk,mFm)=...=span(Hk,MFM)
where K is 1,2, …, K, span (a) denotes the subspace spanned by the column vectors of matrix a.
3. The D2D-P multiplexing cellular network communication method for improving spectrum utilization according to claim 1, wherein the step S4 specifically includes the steps of:
s41, calculating a transmitter precoding matrix F received by the receivermProcessed signal level SmAnd SmPost-coding matrix G via receivermSignal level obtained after processing
S42, definition of all D2D-PmSignal level mean square error sumMSEThe following were used:
&epsiv; M S E = &Sigma; m = 1 M E { | | S m &OverBar; - S m | | 2 } = &Sigma; m = 1 M E { | | G m H S m - S m | | 2 }
the optimization problem is solved using the lagrangian multiplier method as follows:
m i n G m , F m &epsiv; M S E
s . t . | | F m | | F m 2 = P m
wherein E {. represents the mathematical expectation, | | | X | | ceiling2The square of the norm of the matrix X is represented,f norm square, P, representing matrix XmIs D2D-PmAnd satisfyP is the total transmit power of all D2D-ps.
4. The D2D-P multiplexing cellular network communication method for improving spectrum utilization according to claim 3,wherein in step S41, the transmitter precodes matrix FmProcessed signal level SmThe following formula is specifically calculated:
S m = P m H m , m F m Z m + &Sigma; j = 1 , j &NotEqual; m M P j H m , j F j Z j + n m
wherein, PmIs D2D-PmTransmission power of the transmitter, Hm,mIs D2D-PmN-row, N-column channel matrix, H, from transmitter to receiverm,jIs D2D-PjTransmitter to D2D-PmN-row, N-column channel matrix, N, of a receivermIs D2D-PmAmbient noise received by the receiver.
5. The D2D-P multiplexing cellular network communication method for improving spectrum utilization rate according to claim 3, wherein the step S42 specifically includes the steps of:
s420, introducing a Lagrange multiplier lambdamTo obtain the Lagrangian function:
L ( F m , G m , &lambda; m ) = &epsiv; M S E + &lambda; m ( | | F m | | F 2 - P m )
wherein,MSEis the sum of the mean square errors of the signal levels;
s421 for G in Lagrange function respectivelym、FmCalculating partial derivatives, and making the partial derivatives zero to obtain equations (1), (2):
F m = ( &Sigma; j = 1 M H j , m G j G j H H j , m H + &lambda; m I ) - 1 H m , m H G m H - - - ( 1 )
G m = F m H H m , m H ( &Sigma; j = 1 M H m , j F j F j H ( H m , j ) H + &sigma; 2 I ) - 1 - - - ( 2 )
wherein M is 1,2, …, M, sigma2For ambient noise nmAnd E { n }mnm H}=σ2I, I is an N-order identity matrix;
s422, initializing a precoding matrix FmIs a random matrix;
s423, calculating by the formula (2) to obtain a post-coding matrix Gm
S424, substituting the formula (1) into the power limiting conditionFind lambdamLambda of a handlemSubstitution of formula (1), update Fm
S425, calculating all D2D-PmSignal level mean square error sumMSE
S426, repeating the steps from the step 423 to the step 425 untilMSEConverge to obtain GmAnd Fm
6. The D2D-P multiplexing cellular network communication method for improving spectrum utilization rate of claim 1, wherein in S5, D2D-PmCommunication SINR threshold value omegathComprises the following steps: the cellular users participating in the communication measure the SINR of the local received signal and send the signal to the cellular base station through a feedback channel, and the cellular base station sets the minimum SINR to be a D2D-P communication threshold value omegath
7. The method of claim 1, wherein the D2D-P multiplexing cellular network communication method for improving spectrum utilization rate is characterized in thatIn the S6, the improved water injection power distribution method solves D2D-PmTransmission power PmThe calculation method comprises the following steps:
Pm=βm(μ/γm-1)+
wherein mu is the level of water injection and satisfiesγmIs D2D-PmThe channel gain of (a) is determined,p is the total transmit power of all D2D-P, function (x)+Max (x,0) denotes taking the larger of the real numbers x and 0.
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