认知网络主用户吞吐量受限下的传输半径分析与仿真

廖勇; 杨士中; 陈徐洪; 程金波; 彭小秦

doi:10.3724/SP.J.1146.2011.00493

认知网络主用户吞吐量受限下的传输半径分析与仿真

doi: 10.3724/SP.J.1146.2011.00493

廖勇^{* 杨士中陈徐洪程金波彭小秦,},
杨士中,
陈徐洪,
程金波,
彭小秦

基金项目:

中央高校基本科研业务费专项资金(XDJXS11161157)和重庆市科委信息制造业重大科技专项(CSTC, 2009AB2167)资助课题

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出版历程
- 收稿日期: 2011-05-25
- 修回日期: 2011-08-29
- 刊出日期: 2012-01-19

Analysis and Simulation of the Transmission Radius of the Cognitive Network Primary User under Limited Throughput

Liao Yong^{* 杨士中陈徐洪程金波彭小秦
,},
Yang Shi-Zhong,
Chen Xu-Hong,
Cheng Jin-Bo,
Peng Xiao-Qin

摘要

摘要: 该文针对认知无线电中认知用户对主用户接收机造成的并发通信干扰问题，采用信息论的观点，在主用户吞吐量门限和主用户通信中断概率的限制条件下，首先分析了认知用户对主用户接收机的干扰功率，并引用马尔科夫不等式，推导出主用户传输半径范围，同时数值分析表明：在其他条件一定时，主用户平均吞吐量、认知用户接入数目和主用户传输半径之间是相互量化制约的关系。其次，改进开发了一个基于中断概率的认知无线电网络仿真平台，分析了在不同认知用户密度下，主用户吞吐量和传输半径之间的实际作用关系，验证了所提模型的合理性和正确性。
- 认知无线电 /
- 服务质量 /
- 干扰信道 /
- 并发通信 /
- 传输半径
Abstract: This paper concerns the concurrent communication interference problem that cognitive user conducts to primary users receiver under cognitive radio network. Adopted the Information theory viewpoint, it analyzes the interference power that cognitive user conducts to primary users receiver under the restrictive condition of a throughput threshold and communication outage probability for primary user. Moreover, it cites the Markov inequality to deduce out the domain of primary users transmission radius. Meanwhile, numerical analysis indicates that under certain conditions the correlation of the average throughput of primary user, the accessed number of cognitive user and primary users transmission radius is quantitatively mutual restriction. Eventually, this paper develops a network simulation platform for cognitive radio based on outage probability and analyzes the practical function relation between primary users throughput and transmission radius under different density of cognitive user, which validates the rationality and correctness of the model.
- Cognitive Radio (CR) /
- Quality of Service (QoS) /
- Interference channel /
- Concurrent communication /
- Transmission radius

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参考文献(1)

Tarokh V. New Directions in Wireless Communications Research [M]. New York: Springer, 2009: 251-289.[2] Vu M, Devroye N, Sharif M, et al.. Scaling laws of cognitive networks[C]. Proceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Orlando, FL, United States, Aug. 1-3, 2007: 2-8.[3] Vu M, Devroye N, and Tarokh V. On the primary exclusive region of cognitive networks [J]. IEEE Transactions on Wireless Communications, 2009, 8(7): 3380-3385.[4] Vu M and Tarokh V. Scaling laws of single-hop cognitive networks[J]. IEEE Transactions on Wireless Communications, 2009, 8(8): 4089-4097.[5] Vu M, Devroye N, and Tarokh V. An overview of scaling laws in Ad hoc and cognitive radio networks [J]. Wireless Personal Communications, 2008, 45(3): 343-354.[6] Jeon 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.[7] Yin 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.[8] Rabbachin 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.[9] Xie Min, Zhang Wei, and Wong Kai-kit. A geometric approach to improve spectrum efficiency for cognitive relay networks[J]. IEEE Transactions on Wireless Communications, 2010, 9(1): 268-281.[10] Cheowtirakul D. Simulation of large-scale Ad hoc cognitive radio networks [D]. USA California: University of California at Davis, 2009.

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