期刊文献+

认知无线电中移动认知用户功率控制方法

The power control algorithm of mobile cognitive users in cognitive radio
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摘要 传统认知无线电中的功率控制问题都是基于认知用户位置不变的情况,本文针对可移动认知用户的功率控制问题进行深入研究.首先对不同通信场景进行分析和归一化整理,建立通用通信模型,极大的简化了干扰估计和功率控制算法;其次根据认知用户的可移动性,推导出授权用户所受干扰与认知用户移动距离和运动矢量方向的函数表达式,实现了认知用户对授权用户干扰的实时预测;根据预测结果采用最小发射功率准则实现认知用户的功率控制.仿真结果表明,本文方法能够实时、高效的对认知用户进行功率控制,与采用固定步长的功率控制算法相比能够节约功耗20%. The traditional power control problems of cognitive radio are based on the situation that the position of cognitive user is unchanged. This paper has done a lot of work on the power control problems of mobile CR users. First of all, we analyze various communication situation and sort with normalization, establish general communication model which highly simplifies the interference estimation and power control algorithm; Secondly, according to the mobility of the CR users, the function expression of the interference of PR user, moving distance and the vector direction of CR user which realized the real-time prediction of interference from CR to PR users is deduced. Finally the power control of the cognitive users is realized according to the prediction result by minimum transmission power norm. The simulation result Shows that the algorithm can control the transmitting power of CR users timely and efficiently which can save 20% for the power consumption compared with the fixed step power control algorithm.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2014年第1期23-28,共6页 Journal of Harbin Institute of Technology
基金 国家自然科学基金资助项目(61071104) 通信网信息传输与分发技术重点实验室开放课题资助项目(ITD-U12004/K1260010)
关键词 认知无线电 下垫式 功率控制 通用通信模型 cognitive radio underlay power control general communication model
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  • 1吕波.BTS动态功率控制[J].黑龙江电力,2007,29(3):163-168. 被引量:1
  • 2ERC Report 25. European table of frequency allocations and utilizations frequency range 9 kHz to 275 GHz. January 2002.
  • 3Fedral Communication Commission. Spectrum policy task force. Rep ET Docket no 02-135,Nov 2002:182--187.
  • 4Mitola J. Cognitive radio : an integrated agent architecture for software defined radio. Doctor of Technology,2000.
  • 5Goodman D, Mandayam N. Power control for wireless data. IEEE Personal Commun Mag,2000 ;7:48--54.
  • 6Saraydar C, Mandayam N B, Goodman D J. Efficient power control via pricing in wireless data networks. IEEE Trans Commun, 2002 ; 50 : 291 -303.
  • 7韩彬杰.GSM原理及其网络优化[M].北京:机械工业出版社,2004.
  • 8Jeon Sang-woon, Devroye N, Vu M, et al.. Cognitive networks achieve throughput scaling of a homogeneous network[J]. IEEE Transactions on Information Theory, 2011, 57(8): 5103-5115.
  • 9Yin Chang-chuan, Gao Lang, and Cui Shu-quang. Scaling laws for overlaid wireless networks: a cognitive radio network versus a primary network[J]. IEEE/ACM Transactions on Networking, 2010, 18(4): 1317-1329,.
  • 10Rabbachin A, Quek T Q S, Shin Hyun-dong, et al.. Cognitive network interference[J]. IEEE Journal on Selected Areas in Communications, 2011, 29(2): 480-493.

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