Optimization techniques for spectrum hand off in cognitive radio networks using cluster based cooperative spectrum sensing

Devi M. Kalpana; Umamaheswari K.

摘要

Spectrum handoff has an undesirable effect in utilizing the space for Secondary user (SU) in the spectrum, which causes a handoff delay in cognitive radio network. The SU frequently faces the problem of handoff process which is likely to interrupt the service and substantial delay over the quality of service during the transmission. It struggles towards identifying the channel during the handoff by occupying a major role in today's era. Based on this research, an effectual spectrum handoff scheme is anticipated using Spectrum Binary Particle Swarm Optimization (SpecBPSO) algorithm and M/G/1 queuing model. Towards improving the efficiency of SU and reducing the congestion over channel, Cluster Based Cooperative Spectrum Sensing (CBCSS) is used. The cluster head is selected dynamically based on the sensing signal of the SU. The cluster head is associated with the SU base station to report the active and inactive channel in the spectrum and later decision report is generated by the fusion center. In this proposed method, SpecBPSO uses the Boolean variable to reduce the total service time for handoff to find the optimal global value using bitwise and mutation operator format. This study work also presents an outline to observe the outcome of primary user's activity and the delay performance of spectrum handoff with the possible interruptions in a CR network. The simulation setup of the proposed work is compared with spectrum particle swarm optimization (SpecPSO), binary particle swarm optimization (BPSO) and ant colony optimization that provide a better tradeoff over the delay achievement, maximize the SNR with the three benchmark functions and optimal handoff.

机译：光谱切换具有在利用频谱中的次级用户（SU）的空间方面具有不希望的效果，这导致认知无线电网络中的切换延迟。 SU经常面临切换过程的问题，该过程可能会在传输过程中中断服务和超出服务质量的实质性延迟。通过在今天的时代占据主要作用，它努力识别切换过程中的渠道。基于该研究，使用频谱二进制粒子群优化（SPECBPSO）算法和M / G / 1排队模型预期有效的频谱切换方案。为了提高SU的效率并减少通道的拥塞，使用基于集群的协作频谱感测（CBCS）。基于SU的传感信号动态选择簇头。群集头与SU基站相关联，以在频谱中报告活动和非活动通道，并通过融合中心生成稍后的判定报告。在此提出的方法中，SPECBPSO使用布尔变量来减少切换的总服务时间，以使用位和突变操作员格式找到最佳全局值。本研究工作还提供了概述，以观察主要用户活动的结果以及CR网络中可能中断的频谱切换的延迟性能。将所提出的工作的仿真设置与频谱粒子群优化（SPECPSO）进行比较，二进制粒子群优化（BPSO）和蚁群优化，在延迟成就上提供更好的权衡，最大化SNR与三个基准功能和最佳切换。

Optimization techniques for spectrum hand off in cognitive radio networks using cluster based cooperative spectrum sensing

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