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Joint resource optimization in decode and forward multi-relay cognitive network with direct link

机译:具有直接链接的解码和转发多中继认知网络中的联合资源优化

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An OFDM based cognitive radio (CR) network is considered in this paper. The goal is to maximize the total sum rate of the CR system while ensuring that no excessive interference is induced to the primary system. The optimal scheme adopts the dual decomposition technique and in order to reduce the computational complexity of the optimal scheme, a greedy suboptimal algorithm is proposed. Selected numerical results is discussed to reveal the near-optimal performance of the suboptimal scheme and the superiority of the proposed algorithm over the random and the signal-to-noise ratio (SNR) based schemes.
机译:本文考虑了基于OFDM的认知无线电(CR)网络。目标是在确保不会对主系统产生过多干扰的同时,最大化CR系统的总和速率。最优方案采用对偶分解技术,为降低最优方案的计算复杂度,提出了一种贪婪的次优算法。讨论了选定的数值结果,以揭示次优方案的接近最佳性能,以及所提出算法相对于基于随机方案和信噪比(SNR)方案的优越性。

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