基于非正交多址异构网的下行链路干扰协调优化技术

为了提升异构网络中边缘用户平均吞吐量性能，提出了一种基于非正交多址接入(non-orthogonal multiple access, NOMA)异构蜂窝网络的下行链路干扰协调优化方案。该方案通过小区范围扩展(cell range expansion, CRE)和几乎空白子帧(almost blank subframe, ABS)进行小区间干扰协调，并利用改进型量子进化算法(improved quantum-inspired evolutionary algorithm, IQEA)实现自适应CRE和ABS联合优化。仿真结果表明，基于NOMA的分组能有效提升异构网络边缘用户性能，且与非干扰协调方案相比，传统干扰协调方案和所提出的自适应干扰协调方案的边缘用户平均吞吐量分别提升了4.93 dB和5.48 dB;网络用户平均吞吐量分别提升了0.96 dB和1.01 dB;对数效用和分别提升0.13 dB和0.14 dB。

Optimization Technology of Downlink Interference Coordination in Heterogeneous Network Based on Non-Orthogonal Multiple Access

In order to improve the average throughput performance of edge users of heterogeneous networks, an optimization scheme of downlink interference coordination in heterogeneous cellular network based on Non-Orthogonal Multiple Access(NOMA) was proposed. Cell range expansion (CRE) and almost blank subframe (ABS) technology was applied to inter-cell interference coordination and the improved quantum-inspired evolutionary algorithm (IQEA) was used to realize the joint optimization scheme of adaptive CRE and ABS. The simulation results show that NOMA grouping can effectively improve the performance of edge users in heterogeneous networks. Compared with the scheme without interference coordination, the average throughput of edge users of the traditional scheme with non-adaptive interference coordination and the proposed optimization scheme with adaptive interference coordination is increased by 4.93 dB and 5.48 dB, respectively. The average throughput of network users is increased by 0.96 dB and 1.01 dB, respectively, and the logarithmic utility sum of network users is increased by 0.13 dB and 0.14 dB, respectively.