Achieving Low Probability of Interference in Spread Spectrum Cognitive Radio Networks

Kyle Watters, E. Coyle
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Abstract

Power control algorithms for cognitive radio networks allow users to minimize interference with primary users. The interference values are calculated in reference to some known primary user, whose location is approximated as a bivariate distribution. To close links between nodes using minimal energy, the user must also be able to approximate the bit error rate (BER) of a transmission. This paper focuses on mobile cognitive radio networks utilizing sectored antennas. Nodes use BER estimation to minimize the transmitted energy required for each hop while choosing multi-hop routes that minimize the interference to primary users. Highly mobile networks necessitate the ability to approximate the BER and interference values quickly, necessitating the approximations in the paper.
实现扩频认知无线电网络中的低干扰概率
认知无线网络的功率控制算法允许用户最大限度地减少对主要用户的干扰。干扰值是根据已知的主用户计算的,其位置近似为二元分布。为了使用最小的能量关闭节点之间的链接,用户还必须能够近似传输的误码率(BER)。本文主要研究利用扇形天线的移动认知无线网络。节点使用误码率估计来最小化每一跳所需的传输能量,同时选择对主用户干扰最小的多跳路由。高度移动的网络需要快速逼近误码率和干扰值的能力,这就需要本文的逼近。
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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