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机构地区:[1]电子工程学院,安徽合肥230037
出 处:《系统仿真学报》2016年第4期907-913,共7页Journal of System Simulation
摘 要:干扰对齐(Interference Alignment,IA)因其能提升MIMO(Multiple Input Multiple Output)系统性能受到了广泛关注。现有链路调度将接入控制与最小干扰泄露准则(Minimum Interference Leakage,Min L)的IA相结合以保证系统稳定性,但Min L准则下IA获取的期望信号增益较弱。为了弥补这一不足,提出将基于Max SINR准则的IA算法,提出了一种基于IA-Max SINR的半分布式调度算法SDSIA-Max SINR。理论分析和仿真实验表明,Max SINR-IA算法的计算复杂度比Min L-IA算法高,但在高SINR需求下,SDSIA-Max SINR算法所获取的吞吐量明显高于SDSIA-Min L算法。Interference alignment(IA) attracts global attention for its capability of improving the throughput of MIMO systems. To ensure the system stability, researchers proposed access control and IA combined in link scheduling. In order to compensate for the deficiency of minimum interference leakage IA(Min L-IA) algorithm in terms of the expected signal gain, an alternative IA algorithm named Max SINR-IA combined with access control was applied, and a novel semi-distributed scheduling algorithm(SDSIA-Max SINR) algorithm was proposed. The theoretical analysis and simulation results demonstrate that SDSIA-Max SINR algorithm is evidently superior to SDSIA-Min L algorithm in a higher SINR requirement, although Max SINR-IA is inferior to the Min L-IA in terms of computational complexity.
分 类 号:TN914[电子电信—通信与信息系统]
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