Impact of Phase Noise on Uplink Cell-Free Massive MIMO OFDM
Paper in proceeding, 2023
Cell-Free massive MIMO networks provide huge power gains and resolve inter-cell interference by coherent processing over a massive number of distributed instead of co-located antennas in access points (APs). Cost-efficient hardware is preferred but imperfect local oscillators in both APs and users introduce multiplicative phase noise (PN), which affects the phase coherence between APs and users even with centralized processing. In this paper, we first formulate the system model of a PN-impaired uplink Cell-Free massive MIMO orthogonal frequency division multiplexing network, and then propose a PN-aware linear minimum mean square error channel estimator and derive a PN-impaired uplink spectral efficiency expression. Numerical results are used to quantify the spectral efficiency gain of the proposed channel estimator over alternative schemes for different receiving combiners.
Cell-Free massive OFDM MIMO
spectral efficiency
phase noise
channel estimation
hardware impairments
Author
Yibo Wu
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
GigaHertz Centre
Ericsson
Luca Sanguinetti
University of Pisa
Ulf Gustavsson
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Ericsson
Alexandre Graell I Amat
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henk Wymeersch
GigaHertz Centre
Chalmers Antenna Systems Excellence Center (ChaseOn)
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Proceedings - IEEE Global Communications Conference, GLOBECOM
23340983 (ISSN) 25766813 (eISSN)
5829-58349798350310900 (ISBN)
IEEE Global Communications Conference, GLOBECOM 2023
Kuala Lumpur, Malaysia,
Kuala Lumpur, Malaysia,
Deep RF
Swedish Foundation for Strategic Research (SSF) (DnrID19-0021), 2020-01-01 -- 2024-12-31.
Ericsson, 2020-01-01 -- 2024-12-31.
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing
DOI
10.1109/GLOBECOM54140.2023.10437146