Information aging in massive MIMO systems affected by phase noise
2026-06-15 • Information Theory
Information Theory
AI summaryⓘ
The authors study how phase noise, which is random changes in signal phases, can mess up communication in systems with many antennas (massive MIMO). They focus on phase-noise information getting outdated, called 'information aging,' in 5G uplink scenarios. To fix this, the authors propose a new way for the receiver to work that repeatedly updates its estimates using a method called expectation-maximization (EM). Their simulations show this approach handles the problem better than the usual methods.
massive MIMOphase noiseinformation aginguplink5Greceiverexpectation-maximizationiterative receiverpilot signals
Authors
Alberto Tarable, Francisco J. Escribano
Abstract
In massive MIMO systems, phase noise can spoil the performance of the usual receiver techniques. The problem arises because of the aging of phase-noise information based on pilots. In this paper, in a realistic 5G uplink scenario, we quantify the impact of information aging and we propose an iterative receiver based on expectation-maximization (EM). Simulation results show that the iterative receiver is robust to information aging related to phase noise.