4.5 Article

Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel

期刊

IEEE TRANSACTIONS ON INFORMATION THEORY
卷 68, 期 1, 页码 248-271

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2021.3121752

关键词

Network MIMO; cooperative transmission; distributed broadcast channel; decentralized zero-forcing

资金

  1. European Research Council through the European Union [670896]

向作者/读者索取更多资源

This paper analyzes the high-SNR regime of the M x K Network MISO channel where each transmitter has access to a different channel estimate. The study shows that, in some cases, this setting can achieve the same Degrees-of-Freedom as the ideal centralized setting. By analyzing the affine approximation of the rate, it is found that, in certain antenna configurations, the same achievable rate as the ideal centralized scenario can be asymptotically attained.
In this paper, we analyze the high-SNR regime of the M x K Network MISO channel in which each transmitter has access to a different channel estimate, possibly with different precision. It has been recently shown that, for some regimes, this setting attains the same Degrees-of-Freedom as the ideal centralized setting with perfect Channel State Information (CSI) sharing, in which all the transmitters are endowed with the best estimate available at any transmitter. This result is restricted by the limitations of the Degrees-of-Freedom metric, as it only provides information about the slope of growth of the capacity as a function of the SNR, without any insight about the possible performance at a given SNR. In order to overcome this limitation, we analyze the affine approximation of the rate on the high-SNR regime for this decentralized Network MISO setting for the antenna configurations in which it achieves the Degrees-of-Freedom of the centralized setting. We show that, for a regime of antenna configurations, it is possible to asymptotically attain the same achievable rate as in the ideal centralized scenario. Consequently, it is possible to achieve the beamforming gain of the ideal perfect-CSI-sharing setting even if only a subset of transmitters is endowed with precise CSI, which can be exploited in scenarios such as distributed massive MIMO where the number of transmit antennas is much bigger than the number of served users. This outcome is a consequence of the synergistic compromise between CSI precision at the transmitters and consistency between the locally-computed precoders, which is an inherent trade-off of decentralized settings that does not exist in the centralized CSI configuration. We propose a precoding scheme achieving the previous result, which is built on an uneven structure in which some transmitters reduce the precision of their own precoding vector for the sake of using transmission parameters that can be more easily predicted by the other transmitters.

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