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Downlink performance of dense antenna deployment: To distribute or concentrate?

机译:密集天线部署的下行链路性能:分布还是集中?

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Massive multiple-input multiple-output (massive MIMO) and small cell densification are complementary key 5G enablers. Given a fixed number of the entire basestation antennas per unit area, this paper fairly compares (i) to deploy few base stations (BSs) and concentrate many antennas on each of them, i.e. massive MIMO, and (ii) to deploy more BSs equipped with few antennas, i.e. small cell densification. We observe that small cell densification always outperforms for both signal-to-interference ratio (SIR) coverage and energy efficiency (EE), when each BS serves multiple users via L number of sub-bands (multicarrier transmission). Moreover, we also observe that larger L increases SIR coverage while decreasing EE, thus urging the necessity of optimal 5G network design. These two observations are based on our novel closed-form SIR coverage probability derivation using stochastic geometry, also validated via numerical simulations.
机译:大规模多输入多输出(mass MIMO)和小型蜂窝密实化是5G的关键补充要素。给定每单位面积的整个基站天线的固定数量,本文公平地进行比较(i)部署几个基站(BS)并将许多天线集中在每个天线上,即大规模MIMO,以及(ii)部署更多配备的基站天线少,即小小区致密化。我们观察到,当每个基站通过L个子带为多个用户服务时(多载波传输),小小区致密化总是优于信号干扰比(SIR)覆盖范围和能效(EE)。此外,我们还观察到,较大的L会增加SIR覆盖范围,同时会降低EE,因此敦促优化5G网络设计的必要性。这两个观察结果基于我们使用随机几何的新颖封闭形式SIR覆盖概率推导,并通过数值模拟进行了验证。

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