Core Concepts
Optimal joint precoding design in cell-free massive MIMO networks involves uplink-downlink duality under per-AP power and information constraints.
Abstract
This article explores the duality principle for joint precoding design in cell-free massive MIMO networks, focusing on optimal solutions under power and information constraints. It discusses the application of team MMSE precoders and the derivation of a novel uplink-downlink duality principle for fading channels. The study addresses the challenges of limited CSI sharing and power control, providing insights into optimal joint precoding structures.
Stats
"Each AP must typically satisfy an individual power constraint and form its transmit signal using limited cooperation capabilities."
"The optimal joint precoders are given by an extension of the recently developed team minimum mean-square error method."
"The technique in [23] applies to deterministic channels, i.e., to fixed channel fading realizations."
Quotes
"Our duality principle applies to ergodic achievable rates given by the popular hardening bound."
"The best performing joint precoders are typically designed from joint uplink combiners."