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Multiuser Pairing in Uplink CoMP MU-MIMO Systems Using Particle Swarm Optimization

机译:使用粒子群算法的上行链路CoMP MU-MIMO系统中的多用户配对

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Multi-User Multiple Input Multiple Output (MU- MIMO) technique is introduced into 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) to enhance the system capacity and spectrum efficiency. On the other hand, Coordinated Multi-Point transmission and reception (CoMP) technique which can reduce inter-cell interference (ICI) significantly, has been adopted in LTE-Advanced as one of the promising techniques to increase the throughput of the cell edge user. However, some new problems appear with the promotion of MU-MIMO technique in the CoMP scenario. Considering the necessity that an enhanced algorithm should be proposed to fit the CoMP scenario, this paper presents a novel capacity maximization criterion for multiuser pairing strategy based on particle swarm optimization algorithm for CoMP MU-MIMO in uplink LTE-A system. Under this criterion, this paper gives two kinds of receivers which are zero forcing (ZF) equalizer and minimum mean square error (MMSE) equalizer in the frequency-domain. Simulation results show that the proposed PSO strategy achieves nearly the same performance to the exhaustive search (ES) algorithm in terms of capacity performance, but with lower complexity.
机译:多用户多输入多输出(MU-MIMO)技术被引入到第三代合作伙伴计划(3GPP)长期演进(LTE)中,以增强系统容量和频谱效率。另一方面,LTE-Advanced已采用可大大减少小区间干扰(ICI)的多点协作多点传输和接收(CoMP)技术,作为增加小区边缘用户吞吐量的有前途的技术之一。但是,在CoMP场景中,随着MU-MIMO技术的推广出现了一些新的问题。考虑到有必要提出一种适合CoMP场景的增强算法,本文针对上行LTE-A系统中基于CoMP MU-MIMO的粒子群优化算法,提出了一种新的容量最大化准则,用于多用户配对策略。在此标准下,本文给出了两种接收机,即频域中的零强迫(ZF)均衡器和最小均方误差(MMSE)均衡器。仿真结果表明,所提出的PSO策略在容量性能方面与穷举搜索(ES)算法具有几乎相同的性能,但复杂度较低。

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