Repeater Swarm-Assisted Cellular Systems: Interaction Stability and Performance Analysis
Jianan Bai, Anubhab Chowdhury, Anders Hansson, and Erik G. Larsson

TL;DR
This paper analyzes the stability and performance of cellular massive MIMO systems enhanced with repeater swarms, providing stability criteria and optimization algorithms to maximize throughput while preventing destructive feedback.
Contribution
It introduces a generalized Nyquist stability criterion for repeater swarms and develops an iterative optimization algorithm for system performance enhancement.
Findings
Repeaters can significantly improve system performance in sub-6 GHz and millimeter-wave bands.
A stability condition ensures repeaters do not cause destructive feedback.
Optimized gains and power settings enhance throughput while maintaining stability.
Abstract
We consider a cellular massive MIMO system where swarms of wireless repeaters are deployed to improve coverage. These repeaters are full-duplex relays with small form factors that receive and instantaneously retransmit signals. They can be deployed in a plug-and-play manner at low cost, while being transparent to the network--conceptually they are active channel scatterers with amplification capabilities. Two fundamental questions need to be addressed in repeater deployments: (I) How can we prevent destructive effects of positive feedback caused by inter-repeater interaction (i.e., each repeater receives and amplifies signals from others)? (ii) How much performance improvement can be achieved given that repeaters also inject noise and may introduce more interference? To answer these questions, we first derive a generalized Nyquist stability criterion for the repeater swarm system, and…
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