吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 213-217.

• 论文 • 上一篇    下一篇

基于叠加调制和自适应功率分配的干扰抵消

施玉晨, 白宝明   

  1. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室,西安710071
  • 收稿日期:2011-03-26 出版日期:2012-01-01 发布日期:2012-01-01
  • 作者简介:施玉晨(1983-),女,博士研究生.研究方向:信道编码,无线通信.E-mail:ycshi@mail.xidian.edu.cn
  • 基金资助:

    国家自然科学基金项目(60972046,61040005);新一代宽带无线移动通信网重大专项项目(2009ZX03003-011);长江学者和创新团队发展计划项目(IRT0852).

Inference cancellation based on superposition modulation and adaptive power allocation

SHI Yu-chen, BAI Bao-ming   

  1. State Key Laboratory of ISN, Xidian University, Xi'an 710071, China
  • Received:2011-03-26 Online:2012-01-01 Published:2012-01-01

摘要:

为消除协作通信系统中各用户的相互干扰并自适应分配各用户的发送功率,提出基于叠加调制和自适应功率分配的多用户干扰抵消算法。各用户在发送自己信息的同时协助其他用户进行信息转发,采用联合设计的叠加调制函数形成重构信号,接收端利用该函数完成干扰消除。针对无线信道的多样性,以最大化系统容量为准则对各用户的重构信号进行自适应功率分配。多种网络模型中的仿真结果表明,本文算法能有效消除干扰,降低系统错误概率。相比结合固定功率分配的干扰抵消算法,该算法可获得1.5 dB的比特错误概率性能改善和5 dB的帧错误概率性能改善。

关键词: 通信技术, 干扰抵消, 叠加调制, 自适应功率分配, 多用户协作

Abstract:

A superposition modulation and adaptive power allocation algorithm was proposed, which can mitigate the inference between users and allocate the transmission power of each user adaptively in cooperative communications. Each user transmits its own signal while relays other users' signals, and the superposition modulation functions are designed jointly to form the reconstructed signals. The destination cancels the inference by the use of these functions. The reconstructed signal power of each user was adjusted to maximize the system capacity according to the channel variety. Simulation results of various network models show that the proposed algorithm can cancel the inference efficiently and reduce the probability of system error. Compared with the inference cancellation algorithm using fixed power allocation, this algorithm can achieve 1.5 dB bit error rate improvement and 5 dB frame error rate improvement respectively.

Key words: communication, inference cancellation, superposition modulation, adaptive power allocation, multi-user cooperation

中图分类号: 

  • TN911.22


[1] Tse D, Viswanath P. Fundamentals of Wireless Communication
[M]. London: Cambridge University Press, 2005.

[2] 李戈阳,曹阳,高洵,等. 基于模糊梯度的无线传感器网络能量均衡路由协议
[J]. 湖南大学学报:自然科学版, 2008, 35(12): 83-87. Li Ge-yang, Cao Yang, Gao Xun, et al. Fuzzy gradient based energy equilibrium routing protocol for wireless sensor network
[J]. Journal of Hunan University(Natural Sciences), 2008, 35(12): 83-87.

[3] Meulen E C V. Three-terminal communication channels
[J]. Advanced Applied Probability, 1971, 3(1): 120-154.

[4] Laneman J N, Tse D N C, Wornell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior
[J]. IEEE Trans Inf Theory, 2004, 50(12): 3062- 3080.

[5] Larsson E G, Vojcic B R. Cooperative transmit diversity based on superposition modulation
[J]. IEEE Commun Lett,2005, 9(9): 778-780.

[6] Shum K, Sung C. Transmitter cooperation by recycling dirty paper//IEEE International Symposium on Information Theory, Toronto: IEEE, 2008: 777-781.

[7] Fawaz N, Gesbert D, Debbah M. When network coding and dirty paper coding meet in a cooperative Ad hoc network
[J]. IEEE Trans Wireless Commun, 2008, 7(5): 1862-1867.

[8] Peng Y, Rajan D. Capacity bounds of half-duplex gaussian cooperative interference channel//IEEE International Symposium on Information Theory, Korea: IEEE, 2009: 2081-2085.

[9] Hasna M, Alouini M. Optimal power allocation for relayed transmissions over Rayleigh-fading channels
[J]. IEEE Trans Wireless Commun, 2004, 3(6): 1999-2004.

[10] Luo J, Blum R, Cimini L. DF cooperative diversity with power allocation in wireless networks//IEEE Global Telecomm Conf, Louis: IEEE, 2005: 1-7.

[11] Ng T, Yu W. Joint optimization of relay strategies and resource allocations in cooperative cellular networks
[J]. IEEE J Sel Areas Commun, 2007, 25(2): 328-339.

[12] Proakis J G. Digital Communications
[M]. 4th ed. New York: McGraw-Hill, 2001.

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