Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission

Haomin Gao; Haifeng Zhao; Xiao Liang; Xiaomin Mu

doi:10.3969/j.issn.1000-0801.2013.10.020

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Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission

research and development | 更新时间：2024-06-05

- Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission
- Telecommunications Science Vol. 29, Issue 10, Pages: 114-118(2013)
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- DOI：10.3969/j.issn.1000-0801.2013.10.020
  CLC：
- Published Online：2013-10，
  
  Published：20 October 2013
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Haomin Gao, Haifeng Zhao, Xiao Liang, et al. Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission[J]. Telecommunications science, 2013, 29(10): 114-118.
DOI：

Haomin Gao, Haifeng Zhao, Xiao Liang, et al. Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission[J]. Telecommunications science, 2013, 29(10): 114-118. DOI： 10.3969/j.issn.1000-0801.2013.10.020.

摘要

如何设计最优的频谱感知与传输框架是认知无线电技术的重要环节。考虑频谱接入过程中数据传输中断对认知网络性能影响的问题，提出了一种新的基于传输中断概率的频谱感知与传输模型，联合优化频谱感知和数据传输两个阶段，将问题建模为对主用户的干扰量约束条件下的非凸优问题，以最大化认知网络吞吐量为目标联合优化感知时间、传输速率，并通过数值计算方法对其进行求解与仿真。数值分析表明，引入传输中断概率后，在满足上述约束条件的同时，在保护主用户和认知网络吞吐量、传输时延之间有了更好的权衡。

Abstract

It is an important part to design an optimal spectrum sensing and transmission framework in cognitive radio network.Considering that cognitive data transmission outage had effect on the performance of cognitive radio system

a novel spectrum sensing and transmission model based on the outage probability of cognitive transmission was proposed and the two phases of spectrum sensing and data transmission were jointly optimized.The model was formulated as a nonconvex optimization problem under the constraint of interference to primary user

which maximized the average achievable throughput by the joint optimization of sensing time and data transmission rate and simulated by means of the numerical method.The numerical analysis shows that a better tradeoff can be achieved among the protection of primary user

the throughput of cognitive system and transmission delay when the outage probability is cited and the constraint is satisfied.

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references

Mitola J , Maguire G Q . Cognitive radio:making software radios more personal . IEEE Personal Communications , 1999 （ 6 ）: 13 ～ 18

Haykin S . Cognitive radio:brain-empowered wireless communications . IEEE Journal on Selected Areas in Communications , 2005 （ 2 ）: 201 ～ 220

Kostylev V I . Energy detection of a signal with random amptitude . Proceedings of IEEE International Conference on Communications , 2002 （ 3 ）: 1606 ～ 1610

Sahai A , Hoven N , Tandra R . Some fundamental limits in cognitive radio . Proceedings of Allerton Conference on Communication,Control and Computing , Piscataway,NJ , 2004

Sutton P D , Nolan K E , Doyle L E . Cyclostationary signatures in practical cognitive radio applications . IEEE Journal Sel Areas Commun , 2008 （ 1 ）: 13 ～ 24

Pabst R W , Shultz B H . Relay-based deployment concepts for wireless and mobile broadband radio . IEEE Communication Magazine , 2004 （ 9 ）: 80 ～ 89

Paulraj A J , Gore D A , Nabar R U , et al . An overview of MIMO communications-a key to gigabit wireless . Proceedings of the IEEE , 2004 （ 2 ）: 198 ～ 218

Liang Y C , Zeng Y , Peh E , et al . Sensing-throughput tradeoff for cognitive radio networks . IEEE Transactions on Wireless Communications , 2008 （ 4 ）: 1326 ～ 1337

Peh E , Liang Y C , Guan Y L , et al . Optimization of cooperative sens ing in cognitive networks:a sensing-throughput tradeoff view . IEEE Transactions on Vehicular Technology , 2009 （ 9 ）: 5294 ～ 5299

Liu W , Xiong W , Wang J , et al . Optimal spectrum sensing framework in cognitive radio Contexts . IEEE WCSP , Suzhou,China , 2010 : 1 ～ 4

Zou Y , Yao Y D , Zheng B . Outage probability analysis of cognitive transmissions:impact of spectrum sensing overhead . IEEE Transactions on Wireless Communications , 2010 （ 8 ）: 2676 ～ 2688

Zou Y , Yao Y D , Zheng B . Spectrum sensing and data transmission tradeoff in cognitive radio networks . Proceedings of Wireless and Optical Communcations Conference , Shanghai,China , 2010 : 1 ～ 5

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