Minimizing Pilot Overhead in Cell-Free Massive MIMO Systems via Joint Estimation and Detection

Haochuan Song, Xiaohu You, Chuan Zhang, Olav Tirkkonen, Christoph Studer

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

We propose a joint channel estimation and data detection (JED) algorithm for cell-free massive multi-user (MU) multiple-input multiple-output (MIMO) systems. Our algorithm yields improved reliability and reduced latency while minimizing the pilot overhead of coherent uplink transmission. The proposed JED method builds upon a novel non-convex optimization problem that we solve approximately and efficiently using forward-backward splitting. We use simulation results to demonstrate that our algorithm achieves robust data transmission with more than 3× reduced pilot overhead compared to orthogonal training in a 128 antenna cell-free massive MU-MIMO system in which 128 users transmit data over 128 time slots.

Original languageEnglish
Title of host publicationPROCEEDINGS OF THE 21ST IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (IEEE SPAWC2020)
PublisherIEEE
Number of pages5
ISBN (Electronic)9781728154787
DOIs
Publication statusPublished - May 2020
MoE publication typeA4 Article in a conference publication
EventIEEE International Workshop on Signal Processing Advances in Wireless Communications - Atlanta, United States
Duration: 26 May 202029 May 2020
Conference number: 21

Publication series

NameIEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN (Print)2325-3789
ISSN (Electronic)1948-3252

Conference

ConferenceIEEE International Workshop on Signal Processing Advances in Wireless Communications
Abbreviated titleSPAWC
CountryUnited States
CityAtlanta
Period26/05/202029/05/2020

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