Cumulative Sum Algorithm for Threshold Optimization in Cognitive Radio Networks

Anuja Mary G Aloy, A. Farith Khan, S. Vishnukumar, K. Aanandha Sarvanan, B. Sathyasri
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Abstract

The connectivity process relies on radio links. It has been introduced to overcome the defects of wired communication. The demand on Wireless Applications increases, which leads to a limited spectrum utilization. Due to heavy mobile usage services, the whole spectrumhas been assigned only for licensed users (PU). The complete band remains unexploited by the principal users (PU). To overcome this issue, Cognitive Radio Networks (CRN) has been introduced. It has the ability to communicate with multiple users at a time by reusing the unused spectrum by its functions named as Handover and Range Sensing, which empowers us to examine for the fallow free ensembles and apply it. Handover procedure for CRN results in increasing throughput of unlicensed users. Our objective is to achieve the hand over procedure which consists of Threshold Optimization based on cumulative sum (CUSUM) algorithm using MATLAB software for further practical implementation.
认知无线网络阈值优化的累积和算法
连接过程依赖于无线电链路。它的引入是为了克服有线通信的缺陷。无线应用需求的增加导致频谱利用率有限。由于大量的移动使用业务,整个频谱只分配给许可用户(PU)。整个频带未被主要用户(PU)使用。为了克服这一问题,引入了认知无线电网络(CRN)。它具有通过其称为切换和距离传感的功能重用未使用的频谱来同时与多个用户通信的能力,这使我们能够检查空闲的集成并应用它。CRN的移交程序增加了无牌用户的吞吐量。我们的目标是利用MATLAB软件实现由基于累积和(CUSUM)算法的阈值优化组成的移交程序,并进行进一步的实际实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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