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Achieving Vanishing Rate Loss in Decentralized Network MIMO

机译：在分散网络MIMO中实现消失率损失

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摘要

In this paper1, we analyze a Network MIMO channel with 2 Transmitters (TXs) jointly serving 2 users, where each TX has a different multi-user Channel State Information (CSI), potentially with a different accuracy. Recently it was shown the surprising result that this decentralized setting can attain the same Degrees-of-Freedom (DoF) as its genie-aided centralized counterpart in which both TXs share the best-quality CSI. However, the DoF derivation alone does not characterize the actual rate and the question was left open as to how big the rate gap between the centralized and the decentralized settings was going to be. In this paper, we considerably strengthen the previous intriguing DoF result by showing that it is possible to achieve asymptotically the same sum rate as that attained by Zero-Forcing (ZF) precoding in a centralized setting endowed with the best-quality CSI. This result involves a novel precoding scheme which is tailored to the decentralized case. The key intuition behind this scheme lies in the striking of an asymptotically optimal compromise between i) realizing high enough precision ZF precoding while ii) maintaining consistent-enough precoding decisions across the non-communicating cooperating TXs.
机译：在本文中 1 ，我们分析了具有2个发射机（TX）共同服务2个用户的网络MIMO信道，其中每个TX具有不同的多用户信道状态信息（CSI），可能具有不同的准确性。最近，显示出令人惊讶的结果是，这种分散的设置可以达到与精灵辅助的集中式副本相同的自由度（DoF），在该副本中，两个TX共享最佳质量的CSI。但是，仅凭自由度推导并不能表征实际汇率，集中式和分散式设置之间的汇率差距将有多大仍悬而未决。在本文中，我们证明了在具有最佳质量CSI的集中式设置中，可以渐近地实现与零强制（ZF）预编码所获得的和速率渐近相同的总和速率，从而大大增强了以前令人感兴趣的DoF结果。该结果涉及针对分散情况量身定制的新颖的预编码方案。该方案背后的主要直觉在于，在i）实现足够高的精度ZF预编码，而ii）跨非通信协作TX保持一致且足够的预编码决策之间达成一种渐近最优的折中方案。

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