中继辅助认知无线电网络中最小干扰的最优功率分配

S. Maity, Chinmoy Maji
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引用次数: 0

摘要

在多跳认知无线网络(CRN)中,在受中断概率(成功传输)和源-目的链路数据速率约束的情况下,通过一种最优的源节点和中继节点功率分配算法,研究对主用户(PU)的干扰最小化问题。这一目标也在提高CRN寿命的框架下进行了研究。对能量感知(EA)和非能量感知(NEA)两种功率分配方案进行了广泛的仿真。仿真结果表明,基于NEA的功率分配方案比EA方案提供了更好的容量,但对PU的干扰略有增加。仿真结果还显示了数据传输容量、网络寿命和总传输功率之间的三维相对权衡性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On optimal power allocation for minimizing interferene in relay assisted cognitive radio networks
This paper focuses on minimization of interference to primary user (PU) through an optimal strategy of power allocation algorithm for source and relay nodes in multihop cognitive radio network (CRN) under the constraints of outage probability (successful delivery) and data rate over source-destination link. This objective is also studied in the framework of enhanced lifetime of the CRN. Extensive simulations are done for both energy aware (EA) and non-energy aware (NEA) power allocation schemes. Simulation results show that NEA based power allocation offers better capacity than EA scheme at the cost of slightly increased interference to PU. Simulation results also show a three dimensional (3D) relative trade-off performance among the data transmission capacity, network lifetime and total transmission power.
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