Efficient linear precoding for massive MIMO systems using truncated polynomial expansion

Massive multiple-input multiple-output (MIMO) techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively "antenna-efficient&quo...

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Bibliographic Details
Published in:2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) pp. 273 - 276
Main Authors: Muller, Axel, Kammoun, Abla, Bjornson, Emil, Debbah, Merouane
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2014
Series:Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Subjects:
Antennas
Approximation methods
Closed-form expression
Complexity theory
Interference
Maximum ratio transmission
MIMO
MIMO systems
Multiple input multiple output techniques
Polynomial coefficients
Polynomial degree
Polynomial expansion
Polynomials
Random matrix theory
Random variables
Signal processing
Signal to noise ratio
Signal-to-interference and noise ratios
ISBN:9781479914814, 1479914819
ISSN:1551-2282
Online Access:Get full text
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Summary:Massive multiple-input multiple-output (MIMO) techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively "antenna-efficient" regularized zero-forcing (RZF) is preferred to simple maximum ratio transmission. We develop in this paper a new class of precoders for single-cell massive MIMO systems. It is based on truncated polynomial expansion (TPE) and mimics the advantages of RZF, while offering reduced and scalable computational complexity that can be implemented in a convenient parallel fashion. Using random matrix theory we provide a closed-form expression of the signal-to-interference-and-noise ratio under TPE precoding and compare it to previous works on RZF. Furthermore, the sum rate maximizing polynomial coefficients in TPE precoding are calculated. By simulation, we find that to maintain a fixed peruser rate loss as compared to RZF, the polynomial degree does not need to scale with the system, but it should be increased with the quality of the channel knowledge and signal-to-noise ratio.
ISBN:9781479914814
1479914819
ISSN:1551-2282
DOI:10.1109/SAM.2014.6882394