认知网络中基于中继的频谱资源分配(3)
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图6 3种算法在不同用户功率下的吞吐量比较
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从图3~图6的仿真结果中不难看出,联合信道增益差值因子和最优配对的JOA算法减小了系统总发射功率,很大程度上降低了对PU产生有害干扰的可能性,提高了系统的QoS。
5 结束语
本文研究了CR网络的频谱资源分配,根据子信道增益差值因子和源节点、中继节点的最小化功率,最优配对网络的上、下行链路,提出了上、下行链路子载波联合优化的频谱分配算法。该算法根据信道增益差值因子分配下行链路的子载波,采用最优配对分配上行链路的子载波,并对上、下行链路的比特、功率进行最优分配,有效避免了衰落严重的子载波分配给用户的情况,减小了系统发射功率,降低了对主用户的干扰,提高了系统的吞吐量。 参考文献:
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作者简介:
张士兵(1962-),男,江苏海门人,博士,南通大学教授,主要研究方向为超宽带无线通信、认知无线电网络。
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