底层认知无线电网络的固定和自适应中继功率方案

Wassim Alexan, Sarah Imam, A. El-Mahdy
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引用次数: 1

摘要

本文提出了一种具有固定中继功率和自适应中继功率的底层认知无线网络中继选择方案。中继选择和功率分配基于对数似然比(LLR)值的计算,该值在辅助网络中可用的每个中继节点上计算。通过满足低功率约束,不会对主网络造成干扰。根据误码率曲线对所提方案的性能进行了测量和比较。研究了主网络干扰对系统性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fixed and adaptive relaying power schemes for underlay cognitive radio networks
In this work, a relay-selection scheme is proposed for underlay cognitive radio networks, with fixed and adaptive relaying power. The relay-selection and power allocation is based on the calculation of the log-likelihood ratio (LLR) value, calculated at each of the relay nodes available in the secondary network. No interference is caused to the primary network, through the satisfaction of a low power constraint. The proposed schemes' performance is measured and compared in terms of the their BER curves. The effect of the interference caused by the primary network is also investigated.
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