Joint user pairing and resource allocation in full-duplex underlay cognitive radio networks

Ding Xu, Qun Li
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Abstract

This paper considers a full-duplex underlay cognitive radio (CR) network with a full-duplex cognitive base station (CBS) transmitting signals to a set of half-duplex downlink secondary users (SUs) and receiving signals from a set of half-duplex uplink SUs. The problem of joint uplink and downlink SU pairing, channel and power allocation for maximizing the sum rate of the CR network is investigated. Two algorithms, one with high complexity and good performance, and the other one with low complexity and acceptable performance, are proposed to address the optimization problem. Simulation results are presented to verify the effectiveness of the proposed algorithms. It is shown that the proposed high-complexity algorithm always outperforms the proposed low-complexity algorithm and the optimal half-duplex schemes. It is also shown that the proposed low-complexity algorithm outperforms the optimal half-duplex schemes for loose transmit power constraints.
全双工底层认知无线网络中的联合用户配对与资源分配
本文研究了一种全双工底层认知无线电(CR)网络,其中全双工认知基站(CBS)向一组半双工下行辅助用户(su)发送信号,并从一组半双工上行用户(su)接收信号。研究了为了使CR网络的和速率最大化而进行的联合上下行SU配对、信道和功率分配等问题。提出了两种算法,一种算法复杂度高,性能好,另一种算法复杂度低,性能可接受。仿真结果验证了所提算法的有效性。结果表明,所提出的高复杂度算法总是优于所提出的低复杂度算法和最优半双工方案。在较松散的传输功率约束下,所提出的低复杂度算法优于最优半双工方案。
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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