基于子载波配对的多用户协作中继系统资源分配算法

doi:10.3969/j.issn.1000-0801.2014.06.011

摘要/Abstract

摘要：

针对多用户协作中继系统中的功率最小化问题，提出了一种基于联合子载波配对及分配的资源分配算法。首先根据不同用户的目标速率要求及平均信道增益进行子载波数目的分配；然后以信道条件最佳为准则，提出了一种联合子载波配对及分配的多用户迭代算法，以实现对每个用户的中继链路和直传链路分别进行子载波配对及虚拟配对；最后利用注水算法对子载波进行功率分配，从而保证各用户以最小功率进行传输。仿真结果表明，该算法在满足用户目标速率的情况下，能够进行有效的子载波配对及分配，从而最小化系统的发射功率。

关键词: 多用户协作中继, 功率最小化, 联合子载波配对及分配, 资源分配

Abstract:

For the power minimization problem in multi-user cooperative relay communications,a resource allocation algorithm based on joint subcarrier pairing and assignment was proposed.Firstly,according to the average channel gain and the target rates of user,the assignment of subcarrier numbers was addressed.Then,in order to choose the subcarrier with best channel condition,a multi-user iterative algorithm for joint subcarrier pairing and assignment was proposed,which could achieve the subcarrier pairing in the cooperative transmissions and virtual pairing in the direct transmission,respectively.Finally,the power allocation was conducted by the water-filling algorithm,so that each user could use the minimum power for transmission.The simulation results indicate that the proposed algorithm can conduct subcarrier pairing and assignment effectively to minimize the total transmission power while meeting the users' target rate requirement.

Key words: multi-user cooperative relay communication, power minimization, joint subcarrier pairing and assignment, resource allocation

陈斌,李有明,郭涛,雷鹏,刘小青. 基于子载波配对的多用户协作中继系统资源分配算法[J]. 电信科学, 2014, 30(6): 73-78.

Bin Chen,Youming Li,Tao Guo,Peng Lei,Xiaoqing Liu. A Resource Allocation Algorithm Based on Subcarrier Pairing in Multi-User Cooperative Relay Communication[J]. Telecommunications Science, 2014, 30(6): 73-78.

图/表 4

参考文献 12

1	Hsu C N , Su H J , Lin P H . Joint subcarrier pairing and power allocation for OFDM transmission with decode-and-forward relaying. IEEE Transactions on Signal Processing, 2011,59（1）:399～414
2	Ng D W K , Lo E S , Schober R . Energy-efficient resource allocation in multi-cell OFDMA systems with limited backhaul capacity. IEEE Transactions on Wireless Communications, 2012,11（10）:3618～3631
3	Joung J , Sun S . Power efficient resource allocation for downlink OFDMA relay cellular networks. IEEE Transactions on Signal Processing, 2012,60（5）:2447～2459
4	Thai Chan Dai Truyen , Popovski H J , Sun F . Diversity-multiplexing trade-off for coordinated direct and relay schemes. IEEE Transactions on Wireless Communications, 2013,12（7）:3289～3299
5	Zhang G P , Yang K , Chen H H . Resource allocation for wireless cooperative networks:a unified cooperative bargaining game theoretic framework. IEEE Wireless Communications, 2012,19（2）:38～43
6	Wang T , Glineur F , Louveaux J , et al. Weighted sum rate maximization for downlink OFDMA with subcarrier-pair based opportunistic DF relaying. IEEE Transactions on Signal Processing, 2013,61（10）:2512～2524
7	Sun F , de Carvalho E , Popovski P , et al. Coordinated direct and relay transmission with linear non-regenerative relay beamforming. IEEE Transactions on Signal Processing, 2012,19（10）:680～683
8	Liu Y , Chen W , Lin P H . Limited-feedback-based adaptive power allocation and subcarrier pairing for OFDM DF relay networks with diversity. IEEE Transactions on Vehicular Technology, 2012,61（6）:2559～2571
9	Vardhe K , Reynolds D , Woerner B D . Joint power allocation and relay selection for multiuser cooperative communication. IEEE Transactions on Wireless Communications, 2010,9（4）:1255～1260
10	Vandendorpe L , Louveaux J , Oguz O , et al. Improved OFDM transmission with DF relay and power allocation for a sum power constraint. Proceedings of the 3rd International Symposium on Wireless Pervasive Computing, Santorini,Greece, 2008:665～669
11	Wang D , Wang X , Cai X D . Optimal power control for multi-user relay networks over fading channels. IEEE Transactions on Wireless Communications, 2011,10（1）:199～207
12	Wang T , Fang Y , Vandendorpe L . Power minimization for OFDM transmission with subcarrier-pair based opportunistic DF relaying. IEEE Communications Letters, 2013,17（3）:471～474

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