Average SEP-Optimal Precoding for Correlated Massive MIMO with ZF Detection: An Asymptotic Analysis
Zheng Dong, Jian-Kang Zhang, He Chen

TL;DR
This paper derives asymptotic expressions for the symbol error probability in correlated massive MIMO systems with ZF detection, providing practical SEP approximations for large antenna arrays.
Contribution
It introduces closed-form asymptotic SEP expressions for correlated massive MIMO with optimal precoding, using Szeg"o's theorem and limits, applicable even for moderate antenna sizes.
Findings
Asymptotic SEP expressions converge quickly for large antenna numbers.
Optimal precoding significantly reduces SEP compared to uniform precoding.
Closed-form SEP limits are derived for exponential correlation models.
Abstract
This paper investigates the symbol error probability~(SEP) of point-to-point massive multiple-input multiple-output (MIMO) systems using equally likely PAM, PSK, and square QAM signallings in the presence of transmitter correlation. The receiver has perfect knowledge of the channel coefficients, while the transmitter only knows first- and second-order channel statistics. With a zero-forcing~(ZF) detector implemented at the receiver side, we design and derive closed-form expressions of the optimal precoders at the transmitter that minimizes the average SEP over channel statistics for various modulation schemes. We then unveil some nice structures on the resulting minimum average SEP expressions, which naturally motivate us to explore the use of two useful mathematical tools to systematically study their asymptotic behaviors. The first tool is the Szeg\"o's theorem on large Hermitian…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Techniques
