Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput

Guo-qing JI; Gang WANG; Hong-bo ZHU

doi:1000-436X(2011)11-0071-07

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Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput

Papers | 更新时间：2024-06-05

- Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput
- Journal on Communications Vol. 32, Issue 11, Pages: 71-77(2011)
- 作者机构：
  
  1. 南京邮电大学江苏省无线通信重点实验室，江苏南京210003
  2. 中国矿业大学信息与电气工程学院，江苏徐州 221116
- 作者简介：
- 基金信息：
- DOI：1000-436X(2011)11-0071-07
  CLC： TN92
- Online First：2011-11，
  
  Published：25 November 2011
- 稿件说明：
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Guo-qing JI, Gang WANG, Hong-bo ZHU. Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput[J]. Journal on Communications, 2011, 32(11): 71-77.
DOI：

Guo-qing JI, Gang WANG, Hong-bo ZHU. Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput[J]. Journal on Communications, 2011, 32(11): 71-77. DOI： 1000-436X(2011)11-0071-07.

摘要

为实现认知无线电资源开销和系统性能的全面优化，建模研究了基于合作感知的认知网络的有效数据吞吐量。针对软合并融合判决模式，基于认知网络的吞吐量建立了本地采样数与合作用户数的联合折中优化模型。通过非对称步长的Armijo非精确线搜索最速下降算法求出了全局最优解，与蒙特卡洛仿真实验共同验证了优化模型的有效性。在吞吐量的最大化准则下，实现了合作感知中本地采样数与合作用户数的联合折中优化。

Abstract

The achievable data throughput of the cognitive network was modeled to optimize the overhead and performance of the cooperative system thoroughly.Considering the soft data combination decision

the joint trade-off optimization of the local sampling number and cooperative user number was modeled based on the achievable data throughput.The global optimal solution was achieved with inexact line search algorithm

which is based on Armijo rule and lopsided search step technique.Consequently

the validity of the optimization model was verified both by the numerical computation and by Monte-Carlo simulation tests.The joint trade-off optimization of the sampling number and cooperative user number was achieved in cooperative sensing based on the throughput maximizing criterion.

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references

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