Fast binary power allocation for uplink distributed cognitive radio networks

Fast binary power allocation for uplink distributed cognitive radio networks
复制标题

上行链路分布式认知无线电网络的快速二进制功率分配

DOI：
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发表时间：
2018
期刊：
International Conference on Communication Systems and Networks
影响因子：
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通讯作者：
Mohammed Zafar Ali Khan
Mohammed Zafar Ali Khan
中科院分区：
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文献类型：
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作者：
Dharati Nakhale;Mohammed Zafar Ali Khan

文献摘要

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在本文中，我们提出了一种新的，快速的算法分配发射功率的次级用户（SU），以最大限度地提高总SU吞吐量的认知无线电网络（CRN），同时保持干扰的主用户（PU）在可接受的范围内。该问题是制定，以便应用Karush-Kuhn-Tucker（KKT）条件，以获得一个快速，低复杂度的算法，需要较少的浮点运算。仿真结果验证了该算法的有效性。
In this paper, we present a novel, fast algorithm for allocating the transmit power to the secondary users (SUs) to maximize the total SU throughput in a cognitive radio network (CRN) while maintaining interference to the primary user (PU) within an acceptable range. The problem is formulated so as to apply Karush-Kuhn-Tucker (KKT) conditions to derive a fast, low complexity algorithm which requires less number of floating point operations. The performance of the proposed algorithm is verified by simulations.