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Large-Scale MIMO Versus Network MIMO for Multicell Interference Mitigation

机译:大规模MIMO与网络MIMO的多小区干扰缓解

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This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in time-division duplex (TDD) mode, wherein each cooperating cluster includes $B$ base-stations (BSs), each equipped with multiple antennas and scheduling $K$ single-antenna users. In an LS-MIMO system, each BS employs $BM$ antennas not only to serve its scheduled users, but also to null out interference caused to the other users within the cooperating cluster using zero-forcing (ZF) beamforming. In a network MIMO system, each BS is equipped with only $M$ antennas, but interference cancellation is realized by data and channel state information exchange over the backhaul links and joint downlink transmission using ZF beamforming. Both systems are able to completely eliminate intra-cluster interference and to provide the same number of spatial degrees of freedom per user. Assuming the uplink-downlink channel reciprocity provided by TDD, both systems are subject to identical channel acquisition overhead during the uplink pilot transmission stage. Further, the available sum power at each cluster is fixed and assumed to be equally distributed across the downlink beams in both systems. Building upon the channel distribution functions and using tools from stochastic ordering, this paper shows, however, that from a performance point of view, users experience better quality of service, averaged over small-scale fading, under an LS-MIMO system than a network MIMO system. Numerical simulations for a multicell network reveal that this conclusion also holds true with regularized ZF beamfor- ing scheme. Hence, given the likely lower cost of adding excess number of antennas at each BS, LS-MIMO could be the preferred route toward interference mitigation in cellular networks .
机译:本文比较了两种重要的下行链路多小区干扰缓解技术,即大规模(LS)多输入多输出(MIMO)和网络MIMO。我们考虑以时分双工(TDD)模式运行的协作无线蜂窝系统,其中每个协作集群都包括 $ B $ 每个配备有多个天线并调度 $ K $ 单天线用户的基站(BS)。在LS-MIMO系统中,每个BS均使用 $ BM $ 天线不仅为其预定的用户提供服务,而且还为空使用零强迫(ZF)波束成形来消除对协作集群内其他用户的干扰。在网络MIMO系统中,每个BS仅配备 $ M $ 天线,但是干扰消除是通过数据和信道实现的回传链路上的状态信息交换以及使用ZF波束成形的联合下行链路传输。两种系统都能够完全消除集群内部干扰,并为每个用户提供相同数量的空间自由度。假设由TDD提供的上行链路-下行链路信道互易性,则两个系统在上行链路导频传输阶段将承受相同的信道捕获开销。此外,每个群集处的可用总功率是固定的,并假定在两个系统的下行链路波束之间均等分布。然而,基于信道分配功能并使用随机排序工具,本文显示,从性能的角度来看,在LS-MIMO系统下,用户在小规模衰落下平均体验的服务质量要高于网络,其服务质量更好MIMO系统。多单元网络的数值模拟表明,该结论在正则化ZF波束形成方案中也成立。因此,鉴于在每个BS处添加过多天线的成本可能较低,因此LS-MIMO可能是实现蜂窝网络中减轻干扰的首选途径。

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