根据无线认知中继网络上、下行链路子载波的信道特性,研究认知网络的频谱资源分配,提出一种上、下行链路子载波联合优化的分配算法.该算法根据子信道增益差值因子的大小分配下行链路子载波,以源节点和中继节点功率最小化为优化目标配对上行链路子载波,以用户的实时需求分配子载波的比特和功率,有效降低了系统的发射功率,提高了系统吞吐量.仿真结果表明,与启发—集中式和分布式辅助反馈传输功率分配算法比较,该联合优化算法的单位比特功耗降低了1.5～3 dB μW,误比特率性能提高了1个数量级左右.%Based on the optimal pairing the subcarriers of uplink and downlink, a spectrum resource allocation algorithm was proposed according to the subcarrier characteristics of the uplink and downlink in cognitive relay networks. The algorithm allocated the subcarriers in downlink according to the difference of subchannel gains. It assigned the subcarriere in uplink to minimize the power of every source nodes and relay nodes, and distributed the bits and powers of all subcarriers to satisfy the immediate request. It could decrease the power transmitted and increase the throughput of the system. The simulation results show that the algorithm proposed reduces the per bit power by 1.5-3 dBμW and improve the performance by one order of magnitude in bit error rate compared with the heuristic centralized scheme and distributed feed-back-assisted-transmit power allocation algorithm.
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