CN103269488B - Based on maximum and speed collaborative communication method in cognition wireless network - Google Patents

Based on maximum and speed collaborative communication method in cognition wireless network Download PDF

Info

Publication number
CN103269488B
CN103269488B CN201310143890.7A CN201310143890A CN103269488B CN 103269488 B CN103269488 B CN 103269488B CN 201310143890 A CN201310143890 A CN 201310143890A CN 103269488 B CN103269488 B CN 103269488B
Authority
CN
China
Prior art keywords
channel
user
represent
primary
communication
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201310143890.7A
Other languages
Chinese (zh)
Other versions
CN103269488A (en
Inventor
焦建通
蒋铃鸽
何晨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Jiaotong University
Original Assignee
Shanghai Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jiaotong University filed Critical Shanghai Jiaotong University
Priority to CN201310143890.7A priority Critical patent/CN103269488B/en
Publication of CN103269488A publication Critical patent/CN103269488A/en
Application granted granted Critical
Publication of CN103269488B publication Critical patent/CN103269488B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides based on maximum and speed collaborative communication method in a kind of cognition wireless network, this new communication for coordination scheme with maximize in cognition wireless network primary and secondary user's and speed.By modeling, primary and secondary user's and speed maximization problems are expressed as combinatorial optimization problem, then auxiliary variable is introduced, required problem equivalent is converted into the standard assignments problem in operational research, and according to this Solving Assignment Problem algorithm, it is proposed that based on the primary and secondary synergic user communication scheme of Hungary Algorithm.Cognition wireless network is when adopting AF, DF communication for coordination and the direct communication mode of the present invention by contrast, primary and secondary user in varied situations and speed situation of change.Simulation result shows, when secondary number of users is more, adopts the communication for coordination scheme of the present invention to bring and the lifting of speed more than 1.3 times, meanwhile, AF communication for coordination than DF cooperative communication mode be particularly suited in cognition wireless network with improve primary and secondary user's and speed.

Description

Based on maximum and speed collaborative communication method in cognition wireless network
Technical field
A kind of method that the present invention relates to cognition wireless network technical field, specifically based on maximum and speed a kind of communication for coordination scheme in cognition wireless network.
Background technology
Cognition wireless network is a crucial application technology for alleviating frequency spectrum resource scarcity problem.This network exists two kinds of users, a kind of paying customer or authorized user being to use at any time certain channel, is commonly referred to primary user;Another kind is the authorization channel being absent from oneself, only by the secondary user searched for and use the channel not taken completely by primary user in surrounding space to communicate.Secondary user realizes coexisting by different communication modes from primary user, drastically increases the utilization rate of wireless frequency spectrum.And study the key with Design cognition wireless network, it is simply that realize time user and coexist with the optimum of primary user.
Akyildiz et al. is at " ComputerNetworks, 2006,50 (13): 2127-2159 " article being entitled as " Nextgeneration/dynamicspectrumaccess/cognitiveradiowirel essnetworks:asurvey " has been delivered on.This article system elaborate the Coexistence mode of primary and secondary user in various traditional cognition wireless network.But, in these primary and secondarys user's Coexistence mode, secondary user has simply used the idle channel being absent from primary user, fails to form fully cooperation or interactive with primary user, result in system and the combination property such as speed low.Existing lot of documents is used for studying time user and primary user's symbiont techn problem at present.
DNiyato et al. is at " IEEETrans.MobileComputing, 2009,8 (8): 1009-1022 " article being entitled as " Dynamicsofmultiple-sellerandmultiple-buyerspectrumtradin gincognitiveradionetworks:Agame-theoreticmodelingapproac h " has been delivered on;SK.Jayaweera et al. is at " IEEETrans.WirelessCommunications, 2009,8 (6): 3300-3310 " article being entitled as " Dynamicspectrumleasingincognitiveradionetworksviaprimary-secondaryuserpowercontrolgames " has been delivered on;HYu et al. has delivered, on " IEEETrans.Vehicular.tchnology, 2010,59 (4): 1769-1778 ", the article being entitled as " PricingforUplinkPowerControlinCognitiveRadioNetworks ".These articles, based on game theory, consider coexisting of primary and secondary user from the angle of maximum revenue: secondary user is accessed produced jamming power and quantifies by primary user, and it is charged.So, the access power of secondary user is more high, and the cost paid is also more high.Under considering the maximized situation of respective total revenue, primary and secondary user passes through game, it is achieved coexist.But, this mechanism is not only suitable for primary user needs the situation of higher data rate, remains without the collaborative problem considering primary and secondary user simultaneously.
Some researchs are attempted the concept of communication for coordination is introduced cognition wireless network, to solve the collaborative problem of primary and secondary user.The user of communication for coordination feeling the pulse with the finger-tip forms a virtual aerial array by multi-user's cooperation or completes the technology of communication by multi-user's relay forwarding information, so, communication for coordination has the multiple advantage such as space diversity, trunking traffic concurrently simultaneously, can effectively overcome channel fading, improve communication quality.
YHan et al. has delivered, on " IEEETrans.WirelessCommunication, 2009,8 (10): 4945-4950 ", the article being entitled as " Cooperativedecode-andforwardrelayingforsecondaryspectrum access ";L.Giupponi et al. has delivered the article being entitled as " Distributedcooperationamongcognitiveradioswithcompletean dincompleteinformation " on " EURASIPJournalonAdvancesinSignalProcessing, 2009 ".These articles consider and distribute the Partial Power situation for assisting primary user to transmit from secondary user.Simeone et al. is at " SelectedAreasinCommunications, IEEEJournal, 2008,26 (1): 203-213 " article being entitled as " Spectrumleasingtocooperatingsecondaryadhocnetworks " has been delivered on, each transmission time slot is divided into 3 sections by this article, it is respectively used to primary user's transmission, secondary user collaborative primary user transmission and secondary user transmission, but this article has simply assumed that the situation of single channel (a pair primary user).SBayat et al. is at " Communications (ICC), 2011IEEEInternationalConference, 2011,: 1-6 " on delivered the article being entitled as " CognitiveRadioRelayNetworkswithMultiplePrimaryandSeconda ryUsers:DistributedStableMatchingAlgorithmsforSpectrumAc cess ", the research of Simeone et al. has been extended by this article, it is contemplated that multi channel situation.But, the scheme in above each document does not all account for the virtual condition of channel when carrying out communication for coordination, simultaneously also without considering that time user communication itself is likely to the lifting of network and the speed brought.
In order to solve the problems referred to above, the present invention proposes a kind of new primary and secondary synergic user communication scheme.When multichannel many primary users, the present invention establishes primary user according to respective channel status, opportunistic select direct communication mode or have secondary user to do the cooperative communication mode relayed, communication time user is allowed rationally to select available channel, to maximize the model of primary and secondary telex network and speed in each time slot.Further by introducing auxiliary variable, this combinatorial optimization problem is converted for the standard assignments problem in operational research theory, and gives the primary and secondary synergic user communication scheme of the derivation algorithm Hungary Algorithm based on standard assignments problem.Simulation result shows, when secondary number of users is more, compared to other scheme, the present invention can bring cognition wireless network and the lifting of speed more than 1.3 times.
Summary of the invention
It is an object of the invention to overcome the deficiency on existing research and technology, the present invention proposes in cognition wireless network based on maximum and speed a kind of communication for coordination scheme.In the present invention, primary user selects the whether collaborative own data transmission of time user by chance, allows secondary user of communication maximizes cognition wireless network by coupling best available and speed.By modeling, this and speed maximization problems being represented a combinatorial optimization problem, be further introduced into auxiliary variable, problem being converted for a standard assignments problem of equal value, thus proposing the communication for coordination scheme based on Hungary Algorithm.Simulation result shows, the more traditional direct communication plan not adopting communication for coordination of the present invention significantly improve primary and secondary user's and speed.
The present invention is achieved through the following technical solutions:
Based on maximum and speed collaborative communication method in described cognition wireless network, comprise the following steps:
The first step: when each time slot starts, control station obtains network parameter, and network parameter includes the channel gain of each channel and Background Noise Power, and the channel gain of each channel includes the channel gain between the corresponding transceiver of expression respectivelyWherein Si、DiRepresent the primary user's transmitter on i-th channel and receiver, R respectivelyj、RDjRepresent the secondary user transmitter on j-th strip channel and receiver respectively, correspondingly,Represent the channel gain between primary user's transmitter and the primary user's receiver on i-th channel,Represent the channel gain between the primary user's transmitter on i-th channel and the secondary user transmitter on j-th strip channel,Represent the channel gain between secondary user transmitter and the primary user's receiver on i-th channel on j-th strip channel,Represent the channel gain between secondary user transmitter and the secondary receiver user on j-th strip channel;
Meanwhile, control station also obtains the channel width w of i-th channeli, 1≤i≤M, and Background Noise Power;
Second step: calculate all primary and secondary users traffic rate at each channel according to the network parameter in the first step;
3rd step: calculate the intermediate parameters used needed for Hungary Algorithm;Intermediate parameters is matrix B, B=(bi,j)(M+N)×(M+N), bi,jThe element of representing matrix B, Bmax=max (bi,j);
Wherein each element of matrix B is:
Wherein Ci,j_coopRepresent the channel capacity of primary and secondary synergic user communication, Ci_dirRepresent the channel capacity that primary user directly communicates, Ci,j_secRepresenting that time user is to i channel capacity of directly communication on channel j, M represents the number of available channel, and N represents the number of time user, P represents the number of users having communication requirement in primary user, for simplicity in this formula, set the number of users as there being communication requirement of front P the user in primary user
Namely the dimension form of B is as follows:
B = A P × N D P × P 0 P × ( M - P ) C ( M - P ) × N 0 ( M - P ) × P 0 ( M - P ) × ( M - P ) 0 N × N 0 N × P 0 N × ( M - P )
Wherein AP×NRepresent the matrix of P × N dimension, C(M-P)×NRepresent the matrix of (M-P) × N dimension, DP×PRepresent the matrix of P × P dimension;
4th step: adopt Hungarian Method and matrix Y, the y corresponding to final communication plani,jThe element of representing matrix Y;
Each element of matrix Y is:
y i , j = y i , j = x i , j ; 1 ≤ i ≤ M , 1 ≤ j ≤ N Σ i = 1 M y i , j + Σ i = M + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N Σ j = 1 N y i , j + Σ j = N + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N
Wherein, algebraically 1 represent at most only 1 user can as trunk subscriber or secondary user as trunk subscriber time can only service at most 1 primary user, xi,jRepresent the auxiliary variable in mathematical derivation process, xi,jPhysical significance as follows:
As 1≤i≤P, 1≤j≤N,
As P+1≤i≤M, 1≤j≤N,
Wherein P represents the number of users having communication requirement in primary user, for simplicity in this formula, sets the number of users as there being communication requirement of front P the user in primary user;
5th step: each element value according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method.
Preferably, in described second step, calculate C by shannon formula with communication for coordination channel capacity formulai_dir,Ci,j_coop,Ci,j_sec,
Concrete calculating process is:
C i _ dir = w i log 2 ( 1 + SNR S i D i )
Wherein,
SNR S i D i = | a S i D i | 2 P S i / N S i D i
WhereinRepresent that primary user is to Si、DiSignal to noise ratio when transmitting on channel i, wiRepresent the channel width of i-th channel,Represent the transmitting power of primary user i;Represent the Background Noise Power on channel i;For representing the channel coefficients of yardstick decline, define as follows:
a S i D i = h S i D i / d i v / 2
Wherein diRepresent the distance between i-th pair primary user's transmitter and receiver;V represents variable channel fading factor;
During the half-duplex DF mode of the time-division slots such as employing, the channel capacity C of primary and secondary synergic user communicationi,j_coopFor:
C i , j _ coop = w i min { 1 2 log 2 ( 1 + SNR S i R j ) , 1 2 log 2 ( 1 + SNR S i D i + SNR R j D i ) }
WhereinRepresent the signal to noise ratio between primary user's transmitting terminal and trunk subscriber transmitting terminal,Represent the signal to noise ratio between primary user's transmitting terminal and primary user's receiving terminal,Represent the signal to noise ratio between trunk subscriber transmitting terminal and primary user's receiving terminal;
During the half-duplex AF mode of the time-division slots such as employing, the channel capacity C of primary and secondary synergic user communicationi,j_coopFor:
C i , j _ coop = 1 2 w i log 2 ( 1 + | a S i D j | 2 P S i N S i D i + | a S i R j | 2 | a R j D i | 2 | β i , j | 2 P S i N R i D j + | a R i D j | 2 | β i , j | 2 N S i R j )
In above formula,
β i , j = P R j / ( P S i | a S i D i | 2 + N S i D i )
Wherein,For representing the channel coefficients of yardstick decline between i-th primary user's transmitting terminal and receiving terminal,Represent the channel coefficients of yardstick decline between i-th primary user's transmitting terminal and i-th trunk subscriber transmitting terminal,Represent the channel coefficients of yardstick decline between i-th trunk subscriber transmitting terminal and i-th time user's receiving terminal,Represent the Background Noise Power between trunk subscriber transmitting terminal and primary user's receiving terminal on channel i,Represent the channel coefficients of yardstick decline between i-th trunk subscriber transmitting terminal and jth time user's receiving terminal,Represent the Background Noise Power between primary user's transmitting terminal and trunk subscriber transmitting terminal on channel i,Represent the transmitting power of jth trunk subscriber,Represent the Background Noise Power between main transmitting terminal and receiving terminal on channel i,Represent the transmitting power of primary user i;
Ci,j_secComputing formula and Ci_dirComputing formula principle identical, particularly as follows:
C i , j _ sec = w i log 2 ( 1 + SNR j R i R D i )
Wherein,
SNR jR i RD i = | a R i R D i | 2 P R S i / N j R i R D i
WhereinRepresent that time user is to Ri、RDiSignal to noise ratio when transmitting on channel j, wjRepresent the channel width of j-th strip channel,Represent the transmitting power of time user i;Represent the Background Noise Power on channel j;For representing the channel coefficients of yardstick decline, define as follows:
a R i RD i = h R i RD i / d i v / 2
Wherein diRepresent the i-th pair time distance between user transmitter and receiver;V represents variable channel fading factor;Ri、RDiRepresent the secondary user transmitter on i-th channel and receiver respectively;Represent the channel gain between secondary user transmitter and the receiver on i-th channel.
Preferably, each element value in described 5th step, according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method, specifically, as 1≤i≤P, 1≤j≤N, if yi,j=1, the communication for coordination between primary and secondary user is selected in algebraically 1 namely expression, then primary user i selects time user j to carry out communication for coordination;As P+1≤i≤M, 1≤j≤N, if yi,j=1, algebraically 1 namely allow communication between time user, then secondary user j uses channel i to communicate.
According to an aspect of the present invention, it is provided that based on maximum and speed a kind of communication for coordination scheme in cognition wireless network, comprise the following steps:
The first step: when each time slot starts, control station obtains the network of relation parameters such as the channel gain of each channel, Background Noise Power;
Second step: calculate all primary and secondary users traffic rate at each channel according to the network of relation parameter in the first step;
3rd step: calculate the intermediate parameters used needed for Hungary Algorithm;
4th step: adopt the matrix Y that Hungarian Method is corresponding;
5th step: each element value according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method.
More specifically, the present invention realizes preferably by techniques below scheme and step:
The first step: when each time slot starts, control station obtains the network of relation parameters such as the channel gain of each channel, Background Noise Power.Including the channel gain represented respectively between corresponding transceiverWherein Si、DiRepresent the primary user's transmitter on i-th channel and receiver, R respectivelyj、RDjRepresent the secondary user transmitter on j-th strip channel and receiver.Meanwhile, acquired parameter also includes the bandwidth w of i-th channeli, 1≤i≤M, Background Noise Power etc..
Second step: calculate all primary and secondary users traffic rate at each channel according to the network of relation parameter in the first step.Following calculation is had with the traffic rate of relay cooperative communication preferably for the directly traffic rate of communication not using relaying:
According to Shannon's theorems, i-th pair primary user does not select time user to relay on channel i, and when directly communicating, its transfer rate is:
C i _ dir = w i log 2 ( 1 + SNR S i D i )
Wherein,
SNR S i D i = | a S i D i | 2 P S i / N S i D i
Represent that primary user is to Si、DiSignal to noise ratio when transmitting on channel i, wiRepresent the channel width of i-th channel.In above formulaRepresent the transmitting power of primary user i;Represent the Background Noise Power on channel i;For representing the channel coefficients of yardstick decline, define as follows:
a S i D i = h S i D i / d i v / 2
Wherein diRepresent the distance between i-th pair primary user's transmitter and receiver;V represents variable channel fading factor.
When i-th pair primary user selects certain user j to carry out communication for coordination as relaying on channel i, the difference according to trunking scheme, its speed has different computational methods.During the half-duplex DF mode of the time-division slots such as employing, the transfer rate C of primary user ii,j_coopFor:
C i , j _ coop = w i min { 1 2 log 2 ( 1 + SNR S i R j ) , 1 2 log 2 ( 1 + SNR S i D i + SNR R j D i ) }
WhereinRepresent the signal to noise ratio between primary user's transmitting terminal and trunk subscriber transmitting terminal,Represent the signal to noise ratio between primary user's transmitting terminal and primary user's receiving terminal,Represent the signal to noise ratio between trunk subscriber transmitting terminal and primary user's receiving terminal.
During the half-duplex AF mode of the time-division slots such as employing, the transfer rate C of primary user ii,j_coopFor:
C i , j _ coop = 1 2 w i log 2 ( 1 + | a S i D j | 2 P S i N S i D i + | a S i R j | 2 | a R j D i | 2 | β i , j | 2 P S i N R i D j + | a R i D j | 2 | β i , j | 2 N S i R j )
In above formula,
β i , j = P R j / ( P S i | a S i D i | 2 + N S i D i )
Wherein,For representing the channel coefficients of yardstick decline between i-th primary user's transmitting terminal and receiving terminal,Represent the channel coefficients of yardstick decline between i-th primary user's transmitting terminal and i-th trunk subscriber transmitting terminal,Represent the channel coefficients of yardstick decline between i-th trunk subscriber transmitting terminal and i-th time user's receiving terminal,Represent the Background Noise Power between trunk subscriber transmitting terminal and primary user's receiving terminal on channel i,Represent the channel coefficients of yardstick decline between i-th trunk subscriber transmitting terminal and jth time user's receiving terminal,Represent the Background Noise Power between primary user's transmitting terminal and trunk subscriber transmitting terminal on channel i,Represent the transmitting power of jth trunk subscriber,Represent the Background Noise Power between main transmitting terminal and receiving terminal on channel i.
Ci,j_secComputing formula and Ci_dirComputing formula principle identical, particularly as follows:
C i , j _ sec = w i log 2 ( 1 + SNR j R i R D i )
Wherein,
SNR jR i RD i = | a R i R D i | 2 P R S i / N j R i R D i
WhereinRepresent that time user is to Ri、RDiSignal to noise ratio when transmitting on channel j, wjRepresent the channel width of j-th strip channel,Represent the transmitting power of time user i;Represent the Background Noise Power on channel j;For representing the channel coefficients of yardstick decline, define as follows:
a R i RD i = h R i RD i / d i v / 2
Wherein diRepresent the i-th pair time distance between user transmitter and receiver;V represents variable channel fading factor;When taking other different trunking traffic mode, only need to calculate by respective traffic rate computing formula.It is therefore preferred that calculate C by shannon formula with communication for coordination channel capacity formulai_dir,Ci,j_coop,Ci,j_sec
3rd step: calculate the intermediate parameters used needed for Hungary Algorithm;
Preferably, Hungary Algorithm is used to solve in a cognition wireless network about the standard assignments problem maximizing primary and secondary user and problem rate.Its concrete solution procedure is as follows:
If Ui, 1≤i≤M represents the transfer rate of i-th pair primary user, and M represents the number of available channel namely the number of primary user;Vi, 1≤i≤N represents the transfer rate of i-th pair time user, and N represents the number of time user.And Ui,ViDefine as follows:
Then primary and secondary user and speed maximization problems are:
max S = Σ i = 1 M U i + Σ i = 1 N V i
Wherein, S is for representing primary and secondary user and the maximized object function of speed.
Satisfy condition: primary user can use its authorization channel to communicate at any time, and secondary user only just can communicate at the channel of dereliction CU.
Primary communicating by identical probability per family due to all, might as well assume in certain time slot, front P the user in M primary user needs to communicate.Define new auxiliary variable as follows simultaneously:
As 1≤i≤P, 1≤j≤N,
As P+1≤i≤M, 1≤j≤N,
Wherein, xi,jRepresenting the auxiliary variable in mathematical derivation process, its physical significance is as shown in its definition.
So, former problem and restrictive condition thereof can be converted into following problems:
max S = max ( Σ i = 1 P U i + Σ i = 1 N V i )
= Σ i = 1 P { Σ j = 1 N ( x i , j · C i , j _ coop ) + [ ( 1 - Σ j = 1 N x i , j ) · C i _ dir ] }
+ Σ i = P + 1 M Σ j = 1 N ( x i , j C i , j _ sec )
Satisfy condition:
Above-mentioned two restrictive condition is used for guaranteeing that each primary user at most can only select one user, each user at most can only service a primary user and carry out communication for coordination;Meanwhile, the problem after second restrictive condition substitution being converted will also realize that, communication primary user or selection directly communicate or select communication for coordination, and in a word, the communication requirement of primary user is met.
For solving the problems referred to above, now define following two matrix B=(bi,j)(M+N)×(M+N)With Y=(yi,j)(M+N)×(M+N), wherein, bi,jThe element of representing matrix B, yi,jThe element of representing matrix Y.Each element of matrix B is:
Namely the form of B is as follows:
B = A P × N D P × P 0 P × ( M - P ) C ( M - P ) × N 0 ( M - P ) × P 0 ( M - P ) × ( M - P ) 0 N × N 0 N × P 0 N × ( M - P )
Each element of matrix Y is:
y i , j = y i , j = x i , j ; 1 ≤ i ≤ M , 1 ≤ j ≤ N Σ i = 1 M y i , j + Σ i = M + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N Σ j = 1 N y i , j + Σ j = N + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N
Then above-mentioned object function can be converted into:
S = Σ i = 1 P { Σ j = 1 N ( x i , j · C i , j _ coop ) + [ ( 1 - Σ j = 1 N x i , j ) · C i _ dir ] } + Σ i = P + 1 M Σ j = 1 N ( x i , j C i , j _ sec )
= Σ i = 1 P Σ j = 1 N ( y i , j · b i , j ) + Σ i = 1 P [ ( Σ j = N + 1 M + N y i , j ) · C i _ dir ] + 0 + Σ i = P + 1 M Σ j = 1 N ( y i , j · b i , j )
= Σ i = 1 M Σ j = 1 N ( y i , j · b i , j ) + Σ i = 1 M ( Σ j = N + 1 M + N y i , j · b i , j ) + 0 + 0
= Σ i = 1 M Σ j = 1 N ( y i , j · b i , j ) + Σ i = 1 M ( Σ j = N + 1 M + N y i , j · b i , j ) + Σ i = M M + N Σ j = 1 N ( y i , j · b i , j ) + Σ i = M M + N Σ j = N + 1 M + N ( y i , j · b i , j )
= Σ i = 1 M + N Σ j = 1 M + N ( y i , j · b i , j )
If Bmax=max (bi,j), and make ai,j=Bmax-bi,j, then above formula can abbreviation be further:
Σ i = 1 M + N Σ j = 1 M + N ( y i , j · b i , j ) = Σ i = 1 M + N Σ j = 1 M + N [ y i , j · ( B max - a i , j ) ]
= Σ i = 1 M + N Σ j = 1 M + N ( y i , j · B max ) - Σ i = 1 M + N Σ j = 1 M + N ( y i , j · a i,j )
= ( M + N ) · B max - Σ i = 1 M + N Σ j = 1 M + N ( y i , j · a i , j )
Therefore former problem can be answered by solving following minimization problem:
min F = Σ i = 1 M + N Σ j = 1 M + N ( y i , j · a i , j )
Satisfy condition:
Σ j = 1 M + N y i , j = 1 ; i = 1,2 , . . . , M + N
Wherein, function F represents an intermediate function, and the meaning of this function is in that conveniently to solve former problem function.
Above-mentioned minimization problem is the assignment problem of standard on operational research, it is possible to solved by Hungary Algorithm.It is therefore preferred that the required parameter calculated is in this step: matrix B, Bmax=max (bi,j)。
Preferably, each element of matrix B is:
Namely the form of B is as follows:
B = A P × N D P × P 0 P × ( M - P ) C ( M - P ) × N 0 ( M - P ) × P 0 ( M - P ) × ( M - P ) 0 N × N 0 N × P 0 N × ( M - P )
4th step: adopt the matrix Y that Hungarian Method is corresponding;Preferably, each element of matrix Y is:
y i , j = y i , j = x i , j ; 1 ≤ i ≤ M , 1 ≤ j ≤ N Σ i = 1 M y i , j + Σ i = M + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N Σ j = 1 N y i , j + Σ j = N + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N
5th step: each element value according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method.Preferably, as 1≤i≤P, 1≤j≤N, if yi,j=1, then primary user i selects time user j to carry out communication for coordination;As P+1≤i≤M, 1≤j≤N, if yi,j=1, then secondary user j uses channel i to communicate.
Accompanying drawing explanation
Fig. 1 is the cognition wireless network model having some primary users with time user;
Fig. 2 is three kinds of different communication mode lower network and speed and time number of users relation;
Fig. 3 is three kinds of different communication mode lower network and speed and Between Signal To Noise Ratio.
Detailed description of the invention
Below in conjunction with accompanying drawing, embodiments of the invention are elaborated: the present embodiment is carried out under premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
In instances, the present invention has contrasted with the direct communication mode not using relaying to carry out communication for coordination, and meanwhile, the present invention also compared for the two kinds of cooperative communication modes of AF, DF performance difference in communication for coordination of the present invention.
Embodiment
The present embodiment is the cognition wireless network that primary and secondary user's random distribution as shown in Figure 1 ranges for 1km × 1km.The network when cognition wireless network of relative analysis herein adopts AF, DF communication for coordination of the present invention with direct communication mode and speed are with secondary number of users and signal to noise ratio variation relation.In order to contrast for the purpose of justice, when network adopts direct communication mode, the present invention only allows the secondary user that can bring maximum channel speed to be transmitted taking available channel.Meanwhile, in simulation analysis, the present invention takes spatial fading factor v=3, and all simulation results are all on average obtained by the cognition wireless network acquired results of 10000 random distributions under specific settings.Being embodied as step is:
The first step: when each time slot starts, control station obtains the network of relation parameters such as the channel gain of each channel, Background Noise Power.Including the channel gain represented respectively between corresponding transceiverWherein Si、DiRepresent the primary user's transmitter on i-th channel and receiver, R respectivelyj、RDjRepresent the secondary user transmitter on j-th strip channel and receiver, the above-mentioned equal Rayleigh distributed of each channel gain and E [| hij|2]=1.Meanwhile, it is w that acquired parameter also includes the bandwidth of i-th channeli=1kHz, 1≤i≤M;The Background Noise Power of each channel is equal in magnitude, unless stated otherwise, and background noise power levels equal 10-6mW;The transmitting power of each primary user and time user is 1mW;In each time slot, primary user takies the probability of its authorization channel is 0.7 etc.;
Second step: calculate all primary and secondary users traffic rate at each channel according to the network of relation parameter in the first step.Preferably, C is calculated by shannon formula with communication for coordination channel capacity formulai_dir,Ci,j_coop,Ci,j_sec
3rd step: calculate the intermediate parameters used needed for Hungary Algorithm.Preferably, the intermediate parameters of calculating is: matrix B, Bmax=max (bi,j);
Preferably, each element of matrix B is:
Namely the form of B is as follows:
B = A P × N D P × P 0 P × ( M - P ) C ( M - P ) × N 0 ( M - P ) × P 0 ( M - P ) × ( M - P ) 0 N × N 0 N × P 0 N × ( M - P )
4th step: adopt the matrix Y that Hungarian Method is corresponding;Preferably, each element of matrix Y is:
y i , j = y i , j = x i , j ; 1 ≤ i ≤ M , 1 ≤ j ≤ N Σ i = 1 M y i , j + Σ i = M + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N Σ j = 1 N y i , j + Σ j = N + 1 M + N y i , j = 1 ; i = 1,2 , · · · , M + N
5th step: each element value according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method.Preferably, as 1≤i≤P, 1≤j≤N, if yi,j=1, then primary user i selects time user j to carry out communication for coordination;As P+1≤i≤M, 1≤j≤N, if yi,j=1, then secondary user j uses channel i to communicate.
When Fig. 2 represents M=10, SNR=60dB, under three kinds of communication modes, primary and secondary user and speed are with the variation relation of secondary number of users.As seen from the figure, along with secondary number of users increases, the distance between primary user and available collaborative user becomes near, and the maximum channel speed of communication time user couple also can increase simultaneously, thus under three kinds of communication modes primary and secondary user's and speed all increase;Can be seen that, communication for coordination scheme of the present invention brings and being obviously improved of speed simultaneously, and this is owing to the invention enables different primary user to according to each channel conditions, have selected, with the two ways that directly communicates, the communication mode that speed is bigger in communication for coordination;Furthermore, all available channels have also been distributed on the secondary user couple that traffic rate is maximum, ensure that the maximization of whole network primary and secondary user and speed.Be will also realize that by figure, compared to DF communication for coordination with directly communicate, the speed that under AF cooperative communication mode, primary and secondary user and speed increase with secondary number of users is faster;During N=27, AF cooperative communication mode lower network is that DF works in coordination with and 1.35,1.67 times under direct communication mode with speed respectively, this is because, when only considering channel speed, the rate-constrained of DF cooperative communication mode is in SR link and RD, worst in SD link one, AF cooperative communication mode is not then individually limited to SR, RD, a certain bar link in SD, even if a certain bar link circuit condition is poor, when other link circuit condition is better, still can obtain bigger speed.
When Fig. 3 represents M=10, N=20, under three kinds of different communication modes primary and secondary user's and speed with the variation relation of channel SNRs, in emulation, the transmitting power of the fixing primary and secondary user of the present invention, changes Background Noise Power gradually.As seen from the figure, rising along with signal to noise ratio, the communication quality of each channel improves, three kinds of communication modes all can bring the rising with speed, the two kinds of communication for coordination schemes of DF, AF based on Hungary Algorithm carried are superior to direct communication plan, and AF communication for coordination remains and can bring maximum and speed communication mode, its reason is analyzed similar with Fig. 2.When SNR=68dB, it is DF mode and the 1.37 of direct communication mode, 1.74 times respectively with speed under AF mode.Will also realize that in conjunction with Fig. 2, Fig. 3, under the target of maximization network and speed, AF communication for coordination scheme relatively DF communication for coordination scheme is more suitably applied in cognition wireless network.
Above specific embodiments of the invention are described.It is to be appreciated that the invention is not limited in above-mentioned particular implementation, those skilled in the art can make various deformation or amendment within the scope of the claims, and this has no effect on the flesh and blood of the present invention.

Claims (2)

1. based on maximum and speed collaborative communication method in a cognition wireless network, it is characterised in that comprise the following steps:
The first step: when each time slot starts, control station obtains network parameter, and network parameter includes the channel gain of each channel and Background Noise Power, and the channel gain of each channel includes the channel gain between the corresponding transceiver of expression respectivelyWherein Si、DiRepresent the primary user's transmitter on i-th channel and receiver, R respectivelyj、RDjRepresent the secondary user transmitter on j-th strip channel and receiver respectively, correspondingly,Represent the channel gain between primary user's transmitter and the primary user's receiver on i-th channel,Represent the channel gain between the primary user's transmitter on i-th channel and the secondary user transmitter on j-th strip channel,Represent the channel gain between secondary user transmitter and the primary user's receiver on i-th channel on j-th strip channel,Represent the channel gain between secondary user transmitter and the secondary receiver user on j-th strip channel;
Meanwhile, control station also obtains the channel width w of i-th channeli, 1≤i≤M, and Background Noise Power;
Second step: calculate all primary and secondary users traffic rate at each channel according to the network parameter in the first step;
3rd step: calculate the intermediate parameters used needed for Hungary Algorithm;Intermediate parameters is matrix B, B=(bi,j)(M+N)×(M+N), bi,jThe element of representing matrix B, Bmax=max (bi,j);
Wherein each element of matrix B is:
Wherein Ci,j_coopRepresent the channel capacity of primary and secondary synergic user communication, Ci_dirRepresent the channel capacity that primary user directly communicates, Ci,j_secRepresent that time user is to i channel capacity of directly communication on channel j, the secondary user user couple to representing that the secondary user transmitter communicated and time receiver user are constituted, M represents the number of available channel, N represents the number of time user, P represents the number of users having communication requirement in primary user, for simplicity in this formula, set the number of users as there being communication requirement of front P the user in primary user
Namely the dimension form of B is as follows:
B = A P × N D P × P 0 P × ( M - P ) C ( M - P ) × N 0 ( M - P ) × P 0 ( M - P ) × ( M - P ) 0 N × N 0 N × P 0 N × ( M - P )
Wherein AP×NRepresent the matrix of P × N dimension, C(M-P)×NRepresent the matrix of (M-P) × N dimension, DP×PRepresent the matrix of P × P dimension;
4th step: adopt Hungarian Method and matrix Y, the y corresponding to final communication plani,jThe element of representing matrix Y;
Each element of matrix Y is:
y i , j = y i , j = x i , j ; 1 ≤ i ≤ M , 1 ≤ j ≤ N Σ i = 1 M y i , j + Σ i = M + 1 M + N y i , j = 1 ; i = 1 , 2 , ... , M + N Σ j = 1 N y i , j + Σ j = N + 1 M + N y i , j = 1 ; i = 1 , 2 , ... , M + N
Wherein, algebraically 1 represent at most only 1 user can as trunk subscriber or secondary user as trunk subscriber time can only service at most 1 primary user, xi,jRepresent the auxiliary variable in mathematical derivation process, xi,jPhysical significance as follows:
As 1≤i≤P, 1≤j≤N,
As P+1≤i≤M, 1≤j≤N,
Wherein P represents the number of users having communication requirement in primary user, for simplicity in this formula, sets the number of users as there being communication requirement of front P the user in primary user;
5th step: each element value according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method;
Each element value in described 5th step, according to matrix Y, it is determined that the communication mode of each primary and secondary user and working method, particularly as follows:
As 1≤i≤P, 1≤j≤N, if yi,j=1, the communication for coordination between primary and secondary user is selected in algebraically 1 namely expression, then primary user i selects time user j to carry out communication for coordination;
As P+1≤i≤M, 1≤j≤N, if yi,j=1, algebraically 1 namely allow communication between time user, then secondary user j uses channel i to communicate.
2. based on maximum and speed collaborative communication method in cognition wireless network according to claim 1, it is characterized in that, in described second step, calculate C by shannon formula with communication for coordination channel capacity formulai_dir,Ci,j_coop,Ci,j_sec,
Concrete calculating process is:
C i _ d i r = w i log 2 ( 1 + SNR S i D i )
Wherein,
SNR S i D i = | a S i D i | 2 P S i / N S i D i
WhereinRepresent that primary user is to Si、DiSignal to noise ratio when transmitting on channel i, wiRepresent the channel width of i-th channel,Represent the transmitting power of primary user i;Represent the Background Noise Power on channel i;For representing the channel coefficients of yardstick decline, define as follows:
a S i D i = h S i D i / d i v / 2
Wherein diRepresent the distance between i-th pair primary user's transmitter and receiver;V represents variable channel fading factor;
During the half-duplex DF mode of the time-division slots such as employing, the channel capacity C of primary and secondary synergic user communicationi,j_coopFor:
C i , j _ c o o p = w i min { 1 2 log 2 ( 1 + SNR S i R j ) , 1 2 log 2 ( 1 + SNR S i D i + SNR R j D i ) }
WhereinRepresent the signal to noise ratio between primary user's transmitting terminal and trunk subscriber transmitting terminal,Represent the signal to noise ratio between primary user's transmitting terminal and primary user's receiving terminal,Represent the signal to noise ratio between trunk subscriber transmitting terminal and primary user's receiving terminal;
During the half-duplex AF mode of the time-division slots such as employing, the channel capacity C of primary and secondary synergic user communicationi,j_coopFor:
C i , j _ c o o p = 1 2 w i log 2 ( 1 + | a S i D j | 2 P S i N S i D i + | a S i R j | 2 | a R j D i | 2 | β i , j | 2 P S i N R i D j + | a R i D j | 2 | β i , j | 2 N S i R j )
In above formula,
β i , j = P R j / ( P S i | a S i D i | 2 + N S i D i )
Wherein,For representing the channel coefficients of yardstick decline between i-th primary user's transmitting terminal and receiving terminal,Represent the channel coefficients of yardstick decline between i-th primary user's transmitting terminal and i-th trunk subscriber transmitting terminal,Represent the channel coefficients of yardstick decline between i-th trunk subscriber transmitting terminal and i-th time user's receiving terminal,Represent the Background Noise Power between trunk subscriber transmitting terminal and primary user's receiving terminal on channel i,Represent the channel coefficients of yardstick decline between i-th trunk subscriber transmitting terminal and jth time user's receiving terminal,Represent the Background Noise Power between primary user's transmitting terminal and trunk subscriber transmitting terminal on channel i,Represent the transmitting power of jth trunk subscriber,Represent the transmitting power of primary user i;
Ci,j_secComputing formula and Ci_dirComputing formula principle identical, particularly as follows:
C i , j _ sec = w j log 2 ( 1 + SNR jR i RD i )
Wherein,
SNR jR i RD i = | a R i RD i | 2 P RS i / N jR i RD i
WhereinRepresent that time user is to Ri、RDiSignal to noise ratio when transmitting on channel j, wjRepresent the channel width of j-th strip channel,Represent the transmitting power of time user i;Represent the Background Noise Power on channel j;For representing the channel coefficients of yardstick decline, define as follows:
a R i RD i = h R i RD i / d i v / 2
Wherein diRepresent the i-th pair time distance between user transmitter and receiver;V represents variable channel fading factor;Ri、RDiRepresent the secondary user transmitter on i-th channel and receiver respectively;Represent the channel gain between secondary user transmitter and the receiver on i-th channel.
CN201310143890.7A 2013-04-23 2013-04-23 Based on maximum and speed collaborative communication method in cognition wireless network Expired - Fee Related CN103269488B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310143890.7A CN103269488B (en) 2013-04-23 2013-04-23 Based on maximum and speed collaborative communication method in cognition wireless network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310143890.7A CN103269488B (en) 2013-04-23 2013-04-23 Based on maximum and speed collaborative communication method in cognition wireless network

Publications (2)

Publication Number Publication Date
CN103269488A CN103269488A (en) 2013-08-28
CN103269488B true CN103269488B (en) 2016-07-06

Family

ID=49013089

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310143890.7A Expired - Fee Related CN103269488B (en) 2013-04-23 2013-04-23 Based on maximum and speed collaborative communication method in cognition wireless network

Country Status (1)

Country Link
CN (1) CN103269488B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105025565B (en) * 2015-06-12 2018-08-03 上海交通大学 Full duplex bidirectional relay system power optimization method under asymmetric rate
CN105656537B (en) * 2016-02-03 2019-01-08 南京邮电大学 A kind of beam-forming method based on cognition mixing bi-directional relaying
CN114928878B (en) * 2021-09-17 2024-03-19 齐鲁工业大学 Control method, device and medium for service quality constraint power in CRNs

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102083078A (en) * 2010-12-27 2011-06-01 中国人民解放军理工大学 Cooperative transmission method of uplinks of secondary users in cognitive radio system
CN102468890A (en) * 2010-11-09 2012-05-23 上海无线通信研究中心 Multi-user cooperation channel selection method in cognitive wireless network

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8144723B2 (en) * 2006-12-11 2012-03-27 New Jersey Institute Of Technology Method and system for stable throughput of cognitive radio
JP5704704B2 (en) * 2011-02-28 2015-04-22 独立行政法人情報通信研究機構 Cognitive radio communication system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102468890A (en) * 2010-11-09 2012-05-23 上海无线通信研究中心 Multi-user cooperation channel selection method in cognitive wireless network
CN102083078A (en) * 2010-12-27 2011-06-01 中国人民解放军理工大学 Cooperative transmission method of uplinks of secondary users in cognitive radio system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
协同认知网络中功率分配与协同节点选择;刘忠军,张冬梅,张祯松,徐友云;《上海交通大学学报》;20120630;第46卷(第6期);正文第882-886页 *

Also Published As

Publication number Publication date
CN103269488A (en) 2013-08-28

Similar Documents

Publication Publication Date Title
CN102088736B (en) User position list-based method for selectively multiplexing multiple honeycomb user resources for device to device (D2D) user pairs
CN102355729A (en) Maximum throughput resource distribution method in cooperative and cognitive single-input multiple-output (SIMO) network
CN107613555A (en) Non-orthogonal multiple accesses honeycomb and terminal direct connection dense network resource management-control method
CN101925070B (en) Resource allocation method for cognitive system based on space multiplexing
CN102833761B (en) In multichannel many primary users cognition network, time user assists the method for primary user's relaying
CN104244265B (en) The communication means and system that D2D communications coexist with cellular communication under multiple antennas scene
CN102271338A (en) Method for cognizing channel and power joint distribution of radio network
CN103179070B (en) A kind of resource allocation methods of the OFDMA relay system based on rate constraint
CN106900030A (en) Based on repetition policy selection and resource allocation safe transmission method in relaying OFDM networks
CN103442366A (en) Cognitive radio user space division multiplexing method based on interference alignment
CN102781101B (en) Resource distribution method in orthogonal frequency division multiple access (OFDMA) relay system
CN103269488B (en) Based on maximum and speed collaborative communication method in cognition wireless network
CN107070520A (en) A kind of D2D Communication Jamming alignment schemes based on cascade precoding and ESINR criterions
CN102958172B (en) Based on the resource allocation algorithm of proportional fairness in grouping MIMO-MC-CDMA system
CN107947841A (en) Extensive MIMO non-orthogonal multiple system multiple antennas users are to dispatching method
Wang et al. Interference hypergraph-based resource allocation (IHG-RA) for NOMA-integrated V2X networks
CN104202790A (en) Power self-adaptation based MIMO-CCRN bottleneck effect elimination method
She et al. Security Energy Efficiency Analysis of CR-NOMA Enabled IoT Systems for Edge-cloud Environment
CN109982441A (en) The cut-in method and system of cognitive user in cognition junction network based on mixing NOMA
CN105873216A (en) Resource allocation method for jointly optimizing energy efficiency and spectral efficiency by heterogeneous network multipoint collaboration
CN106102173A (en) Wireless backhaul based on multicast beam shaping and base station sub-clustering combined optimization method
CN107172709B (en) A kind of wireless dummy resource management and allocation method based on junction network
CN102857292B (en) Multi-user bidirectional relay transmission system and multi-user bidirectional relay transmission method
CN103442365A (en) Frequency reuse method for reducing interference of CoMP system in station
CN102858019B (en) Down link space-time scheduling method of cognitive cellular network

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160706

Termination date: 20190423