Cooperative multi-cell MIMO downlink precoding with finite-alphabet inputs

Wenhao Wu; Kun Wang; Weiliang Zeng; Zhi Ding; Chengshan Xiao

doi:10.1109/TCOMM.2015.2388584

Cooperative multi-cell MIMO downlink precoding with finite-alphabet inputs

Wenhao Wu, Kun Wang, Weiliang Zeng, Zhi Ding, Chengshan Xiao

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

This work investigates the design of linear precoders in cooperative multi-cell MIMO downlink coverage for finite-alphabet source signals. Traditional design of multi-cell MIMO downlink precoder relies on Gaussian input assumption, which may lead to performance loss when true data inputs consist of discrete non-Gaussian symbols. This work presents optimized precoders for finite-alphabet input by maximizing the sum rate under per-base station power constraints. Specifically, we propose two distributed algorithms: a finite-alphabet signal Gaussian interference gradient projection algorithm and a block diagonalization alternating optimization algorithm while supporting interference cancellation. Our numerical results demonstrate considerable performance gain in terms of approximate transmission data rate as well as decoded bit error rate over precoding schemes designed by using the non-realistic Gaussian input assumption.

Original language	English
Pages (from-to)	766-779
Number of pages	14
Journal	IEEE Transactions on Communications
Volume	63
Issue number	3
DOIs	https://doi.org/10.1109/TCOMM.2015.2388584
Publication status	Published - 1 Mar 2015
Externally published	Yes

Keywords

Multi-cell downlink
finite-alphabet source
precoding
rate
transmitter optimization

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10.1109/TCOMM.2015.2388584

Cite this

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title = "Cooperative multi-cell MIMO downlink precoding with finite-alphabet inputs",

abstract = "This work investigates the design of linear precoders in cooperative multi-cell MIMO downlink coverage for finite-alphabet source signals. Traditional design of multi-cell MIMO downlink precoder relies on Gaussian input assumption, which may lead to performance loss when true data inputs consist of discrete non-Gaussian symbols. This work presents optimized precoders for finite-alphabet input by maximizing the sum rate under per-base station power constraints. Specifically, we propose two distributed algorithms: a finite-alphabet signal Gaussian interference gradient projection algorithm and a block diagonalization alternating optimization algorithm while supporting interference cancellation. Our numerical results demonstrate considerable performance gain in terms of approximate transmission data rate as well as decoded bit error rate over precoding schemes designed by using the non-realistic Gaussian input assumption.",

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AU - Ding, Zhi

AU - Xiao, Chengshan

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AB - This work investigates the design of linear precoders in cooperative multi-cell MIMO downlink coverage for finite-alphabet source signals. Traditional design of multi-cell MIMO downlink precoder relies on Gaussian input assumption, which may lead to performance loss when true data inputs consist of discrete non-Gaussian symbols. This work presents optimized precoders for finite-alphabet input by maximizing the sum rate under per-base station power constraints. Specifically, we propose two distributed algorithms: a finite-alphabet signal Gaussian interference gradient projection algorithm and a block diagonalization alternating optimization algorithm while supporting interference cancellation. Our numerical results demonstrate considerable performance gain in terms of approximate transmission data rate as well as decoded bit error rate over precoding schemes designed by using the non-realistic Gaussian input assumption.

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Cooperative multi-cell MIMO downlink precoding with finite-alphabet inputs

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Keywords

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