CN105072621B - A kind of implementation method of the timesharing communication for coordination based on OFDM cognition network - Google Patents

A kind of implementation method of the timesharing communication for coordination based on OFDM cognition network Download PDF

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CN105072621B
CN105072621B CN201510443233.3A CN201510443233A CN105072621B CN 105072621 B CN105072621 B CN 105072621B CN 201510443233 A CN201510443233 A CN 201510443233A CN 105072621 B CN105072621 B CN 105072621B
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王保云
高赞
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Nanjing Post and Telecommunication 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
    • H04W16/14Spectrum sharing arrangements between different networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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Abstract

The invention discloses a kind of implementation method of timesharing communication for coordination based on OFDM cognition network, this method is to belong to wireless communication technology field for the OFDM cognition network with collection of energy function.In traditional frequency spectrum sharing method, secondary user is perhaps using band communication primary user unappropriated band communication or occupied under the premise of ensuring primary user's communication quality using primary user.And time user's transmitter can not only decode forwarding primary user's signal to promote primary user's information to transmit in this method, to obtain the chance more communicated using primary user's frequency spectrum, energy can also be collected from the part primary user's signal received, transmit energy supply for the relay transmission of main user information and the information of time user itself.By the above method, the present invention is solved using the thinking of Duality Decomposition, more quickly obtains middle time and the optimum allocation of power of communication for coordination scheme, under the premise of ensuring primary user's service quality, effectively improves the power system capacity of time user.

Description

A kind of implementation method of the timesharing communication for coordination based on OFDM cognition network
Technical field
The present invention relates to a kind of implementation methods of timesharing communication for coordination based on OFDM cognition network, belong to wireless communication skill Art field.
Background technique
The evolution and rapid development of mobile communication system make its mobile subscriber provide ubiquitous wireless access and high speed width Band wireless transmission is possibly realized, but is increasingly increased energy demand.The energy consumption upgraded rapidly not only increases communication system Operating cost, while also having caused serious environmental problem.Green communications technology, especially energy collection technology increasingly by To the concern of academia and industry.The wherein energy collection technology of radio signal, so that equipment in wireless network can be with The skyborne radio signal of unrestrained cloth is converted to electric energy to be used, extends its life cycle;And radio signal is wide It is general to be applied in wireless communication.Therefore, while providing wireless data access and wireless energy for mobile terminal has very big reason By and application value.
In traditional frequency spectrum sharing method, secondary user is perhaps using the unappropriated band communication of primary user or true The band communication occupied under the premise of protecting primary user's communication quality using primary user.And time user transmitter is not in this method But forwarding primary user's signal can be decoded to promote primary user's information to transmit, more communicated using primary user's frequency spectrum to obtain Chance, moreover it is possible to collect energy from the part primary user's signal received, relay transmission and time user for main user information The information of itself transmits energy supply.By the above method, the present invention is solved using the thinking of Duality Decomposition, is more quickly cooperateed with The middle time of communication plan and the optimum allocation of power effectively improve secondary under the premise of ensuring primary user's service quality The power system capacity of user.
Summary of the invention
Present invention aims at solving above-mentioned the deficiencies in the prior art, recognized for the OFDM with collection of energy function Radio net proposes a kind of realization side of the timesharing communication for coordination of OFDM (that is: orthogonal frequency division multiplexi) cognition network Method, this method support the dual cooperation of energy and information between primary and secondary user, are to be based on system energy efficiency and transmission performance most The co-allocation of the bigization execution resources such as time and power.
Cognitive radio technology is a kind of effective way for improving the availability of frequency spectrum: the frequency band that secondary user monitors primary user makes With situation, the unappropriated gap of authorization frequency spectrum of primary user is selected to communicate;Or secondary user uses undelay mode, In the case where not influencing primary user's normal communication, time user is allowed to use the authorization frequency spectrum of primary user, and at this point, in order not to right Primary user receiving end generates significant harmful interference, and the transmission power of secondary user's transmitting terminal suffers from limitation.Not with the above method Together, secondary user's transmitting terminal can be used as cooperative relaying decoding forwarding primary user's signal, and primary user's information is promoted to transmit and obtain more The chance mostly communicated using primary user's frequency spectrum;Time user's transmitting terminal can also be from the part primary user's signal received simultaneously Energy is collected, the information for cooperative relaying transmission and time user itself transmits energy supply.
The technical scheme adopted by the invention to solve the technical problem is that: a kind of timesharing collaboration based on OFDM cognition network The implementation method of communication, this method comprises the following steps:
Step 1: transmitting stage (that is: time slot τ in energy cooperation1,k), primary user's transmitting terminal PT passes through k-th of subcarrier, with Power pp1,kTo primary user receiving end PUkWith secondary user's transmitting terminal STkBroadcast message xp1,k.Primary user receiving end PUkWith secondary user Transmitting terminal STkReception signal be respectivelyWithIn this rank Section, primary user receiving end PUkReception signal rate beAt the same time, Received signal is converted to electric energy by secondary user's transmitting terminal, i.e.,
Step 2: being transmitted the stage in Cooperative For Information, secondary user's transmitting terminal is as relaying, with the decoding of semiduplex working method Forward the signal of primary user's transmitting terminal.Specifically, in time slot τ21,k, primary user's transmitting terminal PT is by k-th of subcarrier, with power pp2,kTo primary user receiving end PUkWith secondary user's transmitting terminal STkEmit signal xp2,k.Primary user receiving end PUkIt is sent with secondary user Hold STkReception signal be respectivelyWithCorresponding letter Number rate is respectivelyWith
In next time slot τ22,k, secondary user's transmitting terminal STkBy k-th of subcarrier, with power ps1,kIt is connect to primary user Receiving end PUkDecoding forwarding xp2,k, primary user's transmitting terminal PT keeps idle state at this time.In this time slot, primary user receiving end PUk's Receiving signal isSignal rate is accordinglyTherefore, the reachable signal rate in this cooperation stage primary user receiving end is
Step 3: individually transmitting stage τ in secondary user information3, it may be assumed that after guaranteeing that primary user's achievable rate requires, secondary user's hair Sending end STkBy k-th of subcarrier, with power ps2,kSignal x is sent to secondary user receiving end SUs,k, primary user's transmitting terminal at this time PT keeps idle state.It is in the reception signal in this stage, secondary user receiving end SUAccordingly may be used It is up to rateAccording to constraint condition, keep time user's achievable rate maximumlly optimal Resource allocation policy (τ3,ps2,k), it can be obtained by solving following formula, it may be assumed that
Step 4: above-mentioned non-convex problem being converted, p ' is enabledp1,k=pp1,kτ1,k, p 'p2,k=pp2,kτ21,k, p 's1,k= ps1,kτ22,kWith p 's2,k=ps2,kτ3,k。Rp1,k1,k,pp1,k), Rs,k3,k,ps2,k) can be expressed as about (τk Concave function, i.e., WithTo, Non- convex problem is rewritten as convex problem.Its prove specific derivation process include:
Following form is all had by observing above-mentioned function,Wherein (x, t) be independent variable, α >= 0 is constant.Its Hessian matrix are as follows:
To given any reality vector z=[z1,z2], have
I.e.For negative semidefinite matrix, f (x, t) is the concave function about (x, t).Similarly, R can be provedp1,k1,k,p′p1,k),WithFor the convex of corresponding independent variable Function.
Step 5: applying dual decomposition method, introduce dual variable for each constraint condition in above-mentioned convex problemAnd its Lagrangian L (s), entire problem can be disassembled into k subproblem Lk(sk,pkk), That is:
In internal layer, fixed dual variable sk, to each Lagrangian Lk(sk,pkk) Parallel application KKT condition, it obtains To the optimal value of corresponding former independent variableIn outer layer, each former independent variable is collected, is optimized according to subgradient algorithm whole Body updates dual variable, i.e., For the lesser step-length of value.It iterates, until making the two simultaneously It is optimal.Specifically, for internal layer iteration, by former independent variable (τk,p′k) it is divided into τkWith p 'kTwo groups of alternative optimizations.It is wherein solid Determine τk, various can advanced optimize to obtain p ' by followingk
Wherein ak=log (2) (γ+κkkβk,
bk=log (2) (γ+κk)(αkk)-(γ+κkkβk,ck=log (2) (γ+κk)-(λkβkkαk),
Then p ' is fixedk, various can advanced optimize to obtain τ by followingk, successively;Optimization reaches most simultaneously until the two It is excellent, it may be assumed that
Step 4 of the present invention includes: to proveAnd Rs,k3,k,p′s2,k) it is the specific of convex function Derivation process are as follows:
Following form is all had by observing above-mentioned function,
Wherein (x, t) is independent variable, and α >=0 is constant, and Hessian matrix is
To given any reality vector z=[z1,z2], have
I.e.For negative semidefinite matrix, f (x, t) is the concave function about (x, t);Similarly, R can be provedp1,k1,k,p′p1,k),And Rs,k3,k,p′s2,k) it is corresponding independent variable Convex function.
It include: for internal layer iteration, by former independent variable (τ in step 5 of the present inventionk,p′k) it is divided into τkWith p 'kTwo groups Alternative optimization, wherein fixed τk, various advanced optimize to obtain p ' by followingk, i.e.,;
Wherein ak=log (2) (γ+κkkβk,
bk=log (2) (γ+κk)(αkk)-(γ+κkkβk,ck=log (2) (γ+κk)-(λkβkkαk),
Then p ' is fixedk, various can advanced optimize to obtain τ by followingk, successively optimize until the two while reaching most It is excellent, it may be assumed that
The present invention is applied in the cooperation transmission mode between the primary and secondary user under wireless messages and synchronous energy transmission scene, Effectively improve the handling capacity of communication system and the efficiency of system.
The utility model has the advantages that
1, the present invention is by introducing time user as cooperating relay, effectively improving system transfer rate and expanding covering Area has bright prospects in terms of the transmission performance for improving wireless communication system.
2, the present invention transmits scene for wireless messages and synchronous energy, passes through wireless messages and energy between introducing primary and secondary user The dual cooperation transmission mode of amount, effectively improves the energy efficiency of wireless communication system.
Detailed description of the invention
Fig. 1 is the system block diagram of the OFDM cognition network in the embodiment of the present invention with collection of energy.
Fig. 2 is the schematic diagram of timesharing communication for coordination scheme between multiple primary and secondary users in OFDM cognition network.
Fig. 3 is the resource allocation process based on convex optimization in primary and secondary synergic user communication scheme in OFDM cognition network Figure.
Specific embodiment
The invention is described in further detail with reference to the accompanying drawings of the specification.
As shown in Figure 1, including primary user's transmitting terminal PT, K primary user receiving ends PU, K user's hairs in network Sending end ST, one customer objective receiving end SU.All primary and secondary users are single antenna.Wherein primary user's transmitting terminal PT and time Customer objective receiving end SU sends and receives signal in K sub-carrier channels respectively;And primary user receiving end PUkIt is sent out with secondary user Sending end STkIt works in k-th of subcarrier, and secondary user's transmitting terminal STkIt can be to primary user receiving end PUkInformation is decoded Forwarding and from receiving to collect energy in signal.Secondary user sends STkAfter assisting primary user's transmitting terminal PT to complete communication, occupy each Subcarrier transmits time user's self information to secondary user receiving end SU.
Step 1: transmitting stage (that is: time slot τ in energy cooperation1,k), primary user's PT transmitting terminal passes through k-th of subcarrier, with Power pp1,kTo primary user receiving end PUkWith secondary user's transmitting terminal STkBroadcast message xp1,k.Primary user receiving end PUkWith secondary user Transmitting terminal STkReception signal be respectivelyWithIn this rank Section, the reception signal rate of primary user receiving end areAt the same time, secondary Received signal is converted to electric energy by user's transmitting terminal, i.e.,
Step 2: being transmitted the stage in Cooperative For Information, secondary user's transmitting terminal is as relaying, with the decoding of semiduplex working method Forward the signal of primary user's transmitting terminal.Specifically, in time slot τ21,k, primary user's transmitting terminal is by k-th of subcarrier, with power pp2,kTo primary user receiving end PUkWith secondary user's transmitting terminal STkEmit signal xp2,k.Primary user receiving end PUkIt is sent with secondary user Hold STkReception signal be respectivelyWithCorresponding letter Number rate is respectively
With
In next time slot τ22,k, secondary user's transmitting terminal STkBy k-th of subcarrier, with power ps1,kIt is connect to primary user Receiving end PUkDecoding forwarding xp2,k, primary user's transmitting terminal keeps idle state at this time.In this time slot, primary user receiving end PUkConnect It collects mail and number isSignal rate is accordinglyTherefore, the reachable signal rate in this cooperation stage primary user receiving end is
Step 3: individually transmitting stage τ in secondary user information3, it may be assumed that after guaranteeing that primary user's achievable rate requires, secondary user's hair Sending end STkBy k-th of subcarrier, with power ps2,kSignal x is sent to secondary user receiving end SUs,k, primary user's transmitting terminal at this time Keep idle state.It is in the reception signal in this stage, secondary user receiving end SUAccordingly may be used It is up to rateAccording to constraint condition, make time user achievable rate maximumlly most Excellent resource allocation policy (τ3,ps2,k), it can be obtained by solving following formula, it may be assumed that
Step 4: above-mentioned non-convex problem being converted, p ' is enabledp1,k=pp1,kτ1,k, p 'p2,k=pp2,kτ21,k, p 's1,k= ps1,kτ22,kWith p 's2,k=ps2,kτ3,k。Rp1,k1,k,pp1,k), RS, k3, k,pS2, k) can be expressed as about (τk Concave function, i.e., WithTo, Non- convex problem is rewritten as convex problem.
Step 5: applying dual decomposition method, introduce dual variable for each constraint condition in above-mentioned convex problemAnd its Lagrangian L (s), entire problem can be disassembled into k subproblem Lk(sk,pkk), Such as following formula.In internal layer, fixed dual variable sk, to each Lagrangian Lk(sk,pkk) Parallel application KKT condition, it obtains The optimal value of corresponding original independent variableIn outer layer, each former independent variable is collected, is optimized according to subgradient algorithm whole Dual variable is updated, i.e., For the lesser step-length of value.It iterates, until making the two while reaching To optimal.
Specifically, for internal layer iteration, by former independent variable (τk,p′k) it is divided into τkWith p 'kTwo groups of alternative optimizations.Wherein fix τk, various can advanced optimize to obtain p ' by followingk
Wherein ak=log (2) (γ+κkkβk,
bk=log (2) (γ+κk)(αkk)-(γ+κkkβk,ck=log (2) (γ+κk)-(λkβkkαk),
Then p ' is fixedk, various can advanced optimize to obtain τ by followingk, successively;Optimization reaches most simultaneously until the two It is excellent.
Finally, former independent variable (τ, p ') and dual variable s are optimal simultaneously, and thus calculate the reachable of time user and Rate.
Further, in step 4 of the present invention, it was demonstrated that Rp1,k1,k,p′p1,k), And Rs,k3,k,p′s2,k) be convex function specific derivation process are as follows:
Following form is all had by observing above-mentioned function,
Wherein (x, t) is independent variable, and α >=0 is constant, and Hessian matrix is
To given any reality vector z=[z1,z2], have
I.e.For negative semidefinite matrix, f (x, t) is the concave function about (x, t);Similarly, R can be provedp1,k1,k,p′p1,k),And Rs,k3,k,p′s2,k) it is corresponding independent variable Convex function.
Further, in step 5 of the present invention, for internal layer iteration, by former independent variable (τk,p′k) it is divided into τkWith p′kTwo groups of alternative optimizations, wherein fixed τk, various advanced optimize to obtain p ' by followingk, i.e.,;
Wherein ak=log (2) (γ+κkkβk
bk=log (2) (γ+κk)(αkk)-(γ+κkkβk,ck=log (2) (γ+κk)-(λkβkkαk),
Then p ' is fixedk, various can advanced optimize to obtain τ by followingk, successively optimize until the two while reaching most It is excellent;
Embodiments described herein are only preferred embodiment, and the not restriction of the scope of the present invention, Ren Heji In improvement or equivalent replacement that spirit of that invention is done, as long as it does not depart from the spirit of the invention and range, should all cover at this Within invention protection scope.

Claims (4)

1. a kind of implementation method of the timesharing communication for coordination based on OFDM cognition network, which is characterized in that the method includes with Lower step:
Step 1: transmitting the stage in energy cooperation, it may be assumed that time slot τ1,k, primary user's transmitting terminal PT is by k-th of subcarrier, with power pp1,kTo primary user receiving end PUkWith secondary user's transmitting terminal STkBroadcast message xp1,k;Primary user receiving end PUkIt is sent with secondary user Hold STkReception signal be respectivelyWithIn this stage, The reception signal rate of primary user receiving end isAt the same time, secondary user Received signal is converted to electric energy by transmitting terminal, i.e.,
Step 2: being transmitted the stage in Cooperative For Information, secondary user's transmitting terminal is decoded with semiduplex working method and forwarded as relaying The signal of primary user's transmitting terminal;In time slot τ21,k, primary user's transmitting terminal PT is by k-th of subcarrier, with power pp2,kTo primary user Receiving end PUkWith secondary user's transmitting terminal STkEmit signal xp2,k;Primary user receiving end PUkWith secondary user's transmitting terminal STkReception letter Number be respectivelyWithCorresponding signal rate difference Are as follows:
With
In next time slot τ22,k, secondary user's transmitting terminal STkBy k-th of subcarrier, with power ps1,kTo primary user receiving end PUkDecoding forwarding xp2,k, primary user's transmitting terminal PT keeps idle state at this time, in this time slot, primary user receiving end PUkReception Signal isSignal rate is accordingly Reachable signal rate in this cooperation stage primary user receiving end is
Step 3: individually transmitting stage τ in secondary user information3,k, it may be assumed that after guaranteeing that primary user's achievable rate requires, secondary user is sent Hold STkBy k-th of subcarrier, with power ps2,kSignal x is sent to secondary user receiving end SUs,k, primary user's transmitting terminal PT at this time Keep idle state;It is in the reception signal in this stage, secondary user receiving end SUIt is corresponding reachable Rate isAccording to constraint condition, keep time user's achievable rate maximumlly optimal Resource allocation policy (τ3,ps2,k), it is obtained by solving following formula:
Step 4: above-mentioned non-convex problem being converted, p ' is enabledp1,k=pp1,kτ1,k, p 'p2,k=pp2,kτ21,k, p 's1,k=ps1,k τ22,kWith p 's2,k=ps2,kτ3,k, Rp1,k1,k,pp1,k),Rs,k3,k,ps2,k) be expressed as about (τk p′kConcave function, it may be assumed that WithTo, Non- convex problem is rewritten as convex problem;
Step 5: applying dual decomposition method, introduce dual variable for each constraint condition in above-mentioned convex problemAnd its Lagrangian L (s), entire problem is disassembled into k subproblem Lk(sk,pkk), it may be assumed that
In internal layer, fixed dual variable sk, to each Lagrangian Lk(sk,pkk) Parallel application KKT condition, it obtains pair Answer the optimal value of former independent variableIn outer layer, each former independent variable is collected, it is whole more according to subgradient algorithm optimization New dual variable, i.e., It for the lesser step-length of value, iterates, until making the two while reaching It is optimal.
2. a kind of implementation method of timesharing communication for coordination based on OFDM cognition network according to claim 1, feature It is, the step 4 includes: to prove Rp1,k1,k,p′p1,k), And Rs,k3,k,p′s2,k) be convex function specific derivation process are as follows:
Following form is all had by observing above-mentioned function,
Wherein (x, t) is independent variable, and α >=0 is constant, and Hessian matrix is
To given any reality vector z=[z1,z2], have
I.e.For negative semidefinite matrix, f (x, t) is the concave function about (x, t);Similarly, R can be provedp1,k1,k, p′p1,k),And Rs,k3,k,p′s2,k) be corresponding independent variable convex letter Number.
3. a kind of implementation method of timesharing communication for coordination based on OFDM cognition network according to claim 1, feature It is, the step 5 includes: for internal layer iteration, by former independent variable (τk,p′k) it is divided into τkWith p 'kTwo groups of alternative optimizations, wherein Fixed τk, various advanced optimize to obtain p ' by followingk, i.e.,;
Wherein ak=log (2) (γ+κkkβk,
bk=log (2) (γ+κk)(αkk)-(γ+κkkβk,ck=log (2) (γ+κk)-(λkβkkαk),
Then p ' is fixedk, various can advanced optimize to obtain τ by followingk, successively optimize until the two while being optimal, That is:
4. a kind of implementation method of timesharing communication for coordination based on OFDM cognition network according to claim 1, feature It is: in the cooperation transmission mode that the method is applied between the primary and secondary user under wireless messages and synchronous energy transmission scene.
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Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105554832A (en) * 2015-12-16 2016-05-04 山东大学 Cooperative communication system with two relay nodes for alternative energy collection and information relaying and communication method thereof
CN105634541B (en) * 2015-12-29 2018-11-27 北京邮电大学 Full duplex is taken can communication means and node
CN106304112B (en) * 2016-08-14 2019-09-03 正链科技(深圳)有限公司 A kind of cellular network energy efficiency optimization method based on relay cooperative
CN106658528B (en) * 2016-12-01 2023-08-25 广东技术师范学院 Renewable energy source based cognitive wireless network cooperative transmission method and device
CN107332602B (en) * 2017-06-20 2018-03-27 华中科技大学 Full duplex relaying energy under the conditions of energy constraint reclaims communication means and system certainly
CN107707290A (en) * 2017-10-11 2018-02-16 中山大学新华学院 Based on two-channel trunking method
CN108540247B (en) * 2018-01-10 2021-03-05 河海大学常州校区 Spectrum sensing and information transmission method with energy collection in cognitive wireless network
CN109547132B (en) * 2018-11-19 2021-04-06 浙江工业大学 Wireless energy-carrying communication method based on orthogonal frequency division multiplexing amplification forwarding bidirectional cooperation

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103458470A (en) * 2013-07-25 2013-12-18 北京邮电大学 QoS-based transmission method in cognitive relay system
CN103916949A (en) * 2013-01-04 2014-07-09 北京邮电大学 Power distribution method and device for two-way relay transmission in wireless cognitive network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103916949A (en) * 2013-01-04 2014-07-09 北京邮电大学 Power distribution method and device for two-way relay transmission in wireless cognitive network
CN103458470A (en) * 2013-07-25 2013-12-18 北京邮电大学 QoS-based transmission method in cognitive relay system

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
Joint Resource Allocation for Learning-based Cognitive Radio Networks with MIMO-OFDM Relay-Aided Transmissions;Shuo Li, Bingquan Li, Chengwen Xing, Zesong Fei and Shaodan;《IEEE》;20131231;全文
Joint Subcarrier Pairing and Power Loading in Relay Aided Cognitive Radio Networks;Guftaar Ahmad Sardar Sidhu1, Feifei Gao, Wen Chen, and Wei Wang;《IEEE》;20121231;全文
Resource Allocation in Relay-Aided OFDM Cognitive Radio Networks;Guftaar Ahmad Sardar Sidhu, Feifei Gao,Wei Wang, and Wen Chen;《IEEE》;20131031;全文
基于DF中继的认知OFDM 协作系统的资源分配算法;赵晓晖,沙京祺;《吉林大学学报(工学版)》;20140930;全文
基于OFDM 协作中继的机会主义频谱共享协议及其最优资源分配;卢为党1,2,吴宣利2,沙学军2,张乃通2;《通信学报》;20121130;全文
基于最佳中继选择的认知网络功率分配;罗荣华1,2,杨震1,;《机器仪表学报》;20120930;全文

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