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Resource Allocation Scheme for Cognitive Radio System Based on COFDM Signaling Considering Secondary User's Channel Uncertainty

机译:考虑次用户信道不确定性的基于COFDM信令的认知无线电系统资源分配方案

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摘要

One of the most important challenges in cognitive radio (CR) system is its robustness against primary user jamming problem. Anti-jamming coding mechanism and distributing power properly among subcarriers has been introduced to overcome this problem. In order to increase system performance and secondary network reliability, radio environment information has to be present for designing CR system. In this paper, the erasure probability (Pr_(e,i)) for the secondary user receiver is used to select idle subcarriers and to determine the code rate to make a reliable link to transfer secondary user's data. An adaptive coding rate with a proper bit distribution can decrease the negative impacts of primary user's activity, which may be performed better than employing an unpredictable LT code. Furthermore, a multi-level water-filling algorithm is proposed to assign subcarriers' power in coded orthogonal frequency division multiplexing-based CR system. In this algorithm, the interference channel gain is used as a maximum power mask. Simulation results show that the proposed approach can increase the power efficiency and also, at the same time, it reduces the interference on the primary network.
机译:认知无线电(CR)系统中最重要的挑战之一是其对主要用户干扰问题的鲁棒性。为了克服这个问题,已经引入了抗干扰编码机制和在子载波之间适当地分配功率。为了提高系统性能和辅助网络可靠性,必须提供无线电环境信息来设计CR系统。在本文中,次要用户接收器的擦除概率(Pr_(e,i))用于选择空闲子载波并确定编码率,以建立可靠的链路来传输次要用户数据。具有适当位分布的自适应编码速率可以减少主要用户活动的负面影响,这可能比采用不可预测的LT代码更好。此外,提出了一种多级注水算法,用于在基于编码正交频分复用的CR系统中分配子载波的功率。在该算法中,干扰信道增益用作最大功率掩模。仿真结果表明,该方法不仅可以提高功率效率,而且可以减少对主网络的干扰。

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