Low Complexity Polynomial Expansion Detector With Deterministic Equivalents of the Moments of Channel Gram Matrix for Massive MIMO Uplink

We consider a low complexity polynomial expansion (PE) detector in a massive multiple-input multiple-output (MIMO) uplink channel. In contrast to most massive MIMO systems in the literature, where single antenna user equipments (UEs) are assumed, multiple antenna UEs are employed in this paper. More...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on communications Vol. 64; no. 2; pp. 586 - 600
Main Authors: Lu, An-An, Gao, Xiqi, Zheng, Yahong Rosa, Xiao, Chengshan
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Antennas
Approximation
Channels
Complexity
Complexity theory
Computation
Detectors
deterministic equivalent
Equivalence
massive multi input multi-output (MIMO)
Matrices
Mean square errors
MIMO
Operator-valued free probability
polynomial expansion (PE) detector
Polynomials
Uplink
Operator-valued free probability
polynomial expansion (PE) detector
deterministic equivalent
massive multi-input multi-output (MIMO)
ISSN:0090-6778, 1558-0857
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We consider a low complexity polynomial expansion (PE) detector in a massive multiple-input multiple-output (MIMO) uplink channel. In contrast to most massive MIMO systems in the literature, where single antenna user equipments (UEs) are assumed, multiple antenna UEs are employed in this paper. Moreover, the channel between a base station (BS) and a UE is a jointly correlated Rician fading channel. The PE detector reduces the computational complexity of the minimum mean square error (MMSE) detector by replacing the matrix inversion with an approximate matrix polynomial. The coefficients of the approximate matrix polynomial are computed from the deterministic equivalents of the moments of the channel Gram matrix. We use operator-valued free probability, which is a more general version of free probability, to derive the deterministic equivalents. In particular, we use the operator-valued moment-cumulant formula. The proposed low complexity PE detector is easy to compute. Simulation results show that the proposed detector can achieve performance close to the MMSE detector.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2015.2506700