On the Impact of Oscillator Phase Noise on the Uplink Performance in a Massive MIMO-OFDM System
Rajet Krishnan, M. Reza Khanzadi (Student Member, IEEE), N. Krishnan, (Member, IEEE), A. Graell i Amat (Senior Member, IEEE), T. Eriksson, N., Mazzali (Member, IEEE), G. Colavolpe (Senior Member, IEEE)

TL;DR
This paper investigates how oscillator phase noise affects uplink performance in massive MIMO-OFDM systems, comparing scenarios with common and separate oscillators, and proposes a Kalman filter-based phase noise mitigation method.
Contribution
It provides a detailed analysis of phase noise impact on uplink capacity and introduces a novel Kalman filtering approach for phase noise mitigation in massive MIMO-OFDM systems.
Findings
Phase noise reduces uplink capacity in massive MIMO-OFDM.
Common oscillator scenario exhibits less phase noise impact.
Kalman filter effectively mitigates phase noise effects.
Abstract
In this work we study the effect of oscillator phase noise on the uplink performance of a massive multiple-input multiple output system. Specifically, we consider an orthogonal frequency division multiplexing-based uplink transmission and analyze two scenarios: (a) all the base station (BS) antennas are fed by a common oscillator, and (b) each of the BS antennas is fed by a different oscillator. For the scenarios considered, we derive the instantaneous signal-to-noise ratio on each subcarrier and analyze the ergodic capacity when a linear receiver is used. Furthermore, we propose a phase noise tracking algorithm based on Kalman filtering that mitigates the effect of phase noise on the system performance.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Techniques · Wireless Communication Networks Research · Power Line Communications and Noise
