Abstract

We study the transmission problem in a distributed multiple-input multiple-output (MIMO) system consisting of several distributed transmitters and a common receiver. Assuming partial channel state information at the transmitter (CSIT), we propose a low-cost weighted channel matching and scattering (WCMS) linear precoding strategy. The proposed precoder can be decomposed into two parallel modules: channel matching (CM) and energy scattering. The signals generated by the CM modules from different transmitters provide a coherent gain with improved power efficiency. The use of the scattering modules provides robustness against CSIT uncertainty. By properly combining these two modules, WCMS can achieve coherent gain proportional to the accuracy of the available CSIT as well as robustness against CSIT error. WCMS is simple and fully decentralized and thus is highly suitable for a distributed MIMO system. Numerical results demonstrate that WCMS indeed achieves significant gains in distributed MIMO environments with partial CSIT.

Highlights

  • Consider a distributed multiple-input multiple-output (MIMO) system involving several distributed transmitters and a common receiver [1,2,3,4,5,6,7,8]

  • If full channel state information at the transmitter (CSIT) for all the local links is available at every transmitter, the overall system can be regarded as an equivalent MIMO system and optimized using a centralized strategy [9,10]

  • We study a weighted channel matching and scattering (WCMS) strategy for distributed MIMO systems with partial CSIT

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Summary

Introduction

Consider a distributed multiple-input multiple-output (MIMO) system involving several distributed transmitters and a common receiver [1,2,3,4,5,6,7,8]. If full channel state information at the transmitter (CSIT) for all the local links is available at every transmitter, the overall system can be regarded as an equivalent MIMO system and optimized using a centralized strategy [9,10]. We study a weighted channel matching and scattering (WCMS) strategy for distributed MIMO systems with partial CSIT. It involves a linear precoder at each transmitter that can be decomposed into two parallel modules, one for channel matching (CM) and the other for energy scattering. It is seen that the CM precoder can achieve performance close to the capacity in the median rate region This observation can be explained as follows. Region (e.g., R ≈ min{Nt, Nr}) is of most interest, which indicates the attractiveness of the CM option

Centralized control with partial CSIT
Distributed linear precoding
Coherent gain
Diversity linear precoding
Findings
Conclusions
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