基于认知无线电系统的协作中继分布式功率分配算法

郭艳艳; 康桂霞; 张宁波; 张平

doi:10.3724/SP.J.1146.2009.00957

基于认知无线电系统的协作中继分布式功率分配算法

doi: 10.3724/SP.J.1146.2009.00957

郭艳艳^{①② 康桂霞,},
康桂霞,
张宁波,
张平

基金项目:

国家科技支撑计划项目(2008BAH24B02)，国家863计划项目(2009AA02Z412)，北京市科技新星项目(2007A046)和高等学校学科创新引智计划项目(B07005)资助课题

计量
- 文章访问数: 3529
- HTML全文浏览量: 121
- PDF下载量: 833
- 被引次数: 0
出版历程
- 收稿日期: 2009-07-03
- 修回日期: 2010-03-11
- 刊出日期: 2010-10-19

A Distributed Power Allocation for Cooperative Transmission in Cognitive Radio Systems

摘要

摘要: 协作通信与直接通信相比能够显著地提高系统性能。协作通信中的一个关键问题是管理中继节点及有效地进行功率分配。尤其对于频谱共享的认知无线电(Cognitive Radio，CR)系统，协作方案的设计不仅要最大限度地提高认知网络协作的功率效率，而且需要最小化对主系统的干扰。该文针对认知无线电系统的协作通信问题，在多个中继节点与源节点协同通信的场景下，提出了一种基于放大转发(Amplify and Forward，AF)模式下的功率分配及联合优化算法，在保证主系统传输性能不受影响的前提下，提高认知系统的传输速率。仿真结果表明该文提出的自适应协作传输方案，和直接传输及等功率传输方案相比获得了进一步的性能增益，中断概率显著下降。
- 认知无线电系统 /
- 协作分集 /
- 中断概率 /
- 分布式功率分配
Abstract: The cooperative communication can get better performance of systems than the direct transmission. In particular, how to manage cooperative relays and allocate power among them especially for Cognitive Radio (CR) is one of the most important issue in wireless cooperative diversity systems. For CR systems, cooperative power allocation strategy need consider avoiding the interference with the primary (licensed) users. In this paper, a distributed transmit power allocation algorithm for multi-relays based on Amplify and Forward (AF) cooperative transmission is proposed for spectrum sharing CR systems. It optimizes the performance of the CR system, while the interference experienced by the licensed users is limited. The simulations validate the effectiveness of proposed algorithm by comparing it with the direct transmission and the scheme where equal weights are assigned to the relays.
- Cognitive Radio (CR) /
- Cooperative diversity /
- Outage probability /
- Distributed power allocation

HTML全文

参考文献(1)

[1] Federal Communications Commission. Spectrum policy task force report. ET Docket No. 02-135, Nov. 2002. [2] Hammerstrom I, Kuhn M, and Wittneben A. Impact of relay gain allocation on the performance of cooperative diversity networks. Proc. VTC 2004 Fall, Los Angeles, CA, Sept. 2004, 1815-1819. [3] Deng X and Haimovich A. M. Power allocation for cooperative relaying in wireless networks[J].IEEE Communication Letter.2005, 9(11):994-996 [4] Zhao Y, Adve R, and Lim T. J. Improving amplify-and-forward relay networks: optimal power allocation versus selection. IEEE Transactions on Wireless Communication, 2007, 6(8): 3114-3123. [5] Ding Zhi-guo, Chin Woon-hau, and Leung Kin K. Distributed Beamforming and Power Allocation for Cooperative Networks[J].IEEE Transactions on Wireless Communication.2008, 7(5):1817-1822 [6] 邹玉龙, 郑宝玉. 基于分布式中继选择的自适应协作传输方案，电子学报，2009, 1(1): 13-20. Zou Yu-long and Zheng Bao-yu. Adaptive cooperative transmission scheme based on distributed relay selection. Acta Electronic Sinica, 2008, 7(5): 1817-1822. [7] Mietzner J, Lampe L, and Schober R. Distributed transmit power allocation for relay-assisted cognitive-radio systems. Proc. Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, California, USA, Nov. 2007: 792-796. [8] Mietzner J, Lampe L, and Schober R. Performance analysis for a fully decentralized transmit power allocation scheme for relay-assisted cognitive-radio systems. IEEE GLOBECOM 2008. New Orleans, LA, USA, Nov. 2008: 1-6.

施引文献

资源附件(0)

访问统计