Fundamental Limits in Correlated Fading MIMO Broadcast Channels: Benefits of Transmit Correlation Diversity
Junyoung Nam

TL;DR
This paper analyzes how transmit correlation diversity in MIMO broadcast channels can significantly enhance capacity, multiplexing gain, and power efficiency, especially in large-scale and massive MIMO systems, by leveraging structured channel covariances.
Contribution
It introduces the concept of transmit correlation diversity and demonstrates its potential to improve capacity bounds and multiplexing gains in multiuser MIMO systems.
Findings
Transmit correlation diversity can increase multiplexing gain up to the number of diversity degrees.
Structured channel covariances improve power and capacity gains in massive MIMO.
Conventional large-scale MIMO systems without correlation diversity have limited performance.
Abstract
We investigate asymptotic capacity limits of the Gaussian MIMO broadcast channel (BC) with spatially correlated fading to understand when and how much transmit correlation helps the capacity. By imposing a structure on channel covariances (equivalently, transmit correlations at the transmitter side) of users, also referred to as \emph{transmit correlation diversity}, the impact of transmit correlation on the power gain of MIMO BCs is characterized in several regimes of system parameters, with a particular interest in the large-scale array (or massive MIMO) regime. Taking the cost for downlink training into account, we provide asymptotic capacity bounds of multiuser MIMO downlink systems to see how transmit correlation diversity affects the system multiplexing gain. We make use of the notion of joint spatial division and multiplexing (JSDM) to derive the capacity bounds. It is advocated…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
