Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/64590
Title: Improving Cell-Free Massive MIMO Detection Performance via Expectation Propagation
Contributor(s): Kosasih, Alva (author); Miloslavskaya, Vera  (author)orcid ; Hardjawana, Wibowo (author); Andrean, Victor (author); Vucetic, Branka (author)
Publication Date: 2021-12-10
DOI: 10.1109/VTC2021-FALL52928.2021.9625516
Handle Link: https://hdl.handle.net/1959.11/64590
Abstract: 

Cell-free (CF) massive multiple-input multiple-output (M-MIMO) technology plays a prominent role in the beyond fifth-generation (5G) networks. However, designing a high performance CF M-MIMO detector is a challenging task due to the presence of pilot contamination which appears when the number of pilot sequences is smaller than the number of users. This work proposes a CF M-MIMO detector referred to as CF expectation propagation (CF-EP) that incorporates the pilot contamination when calculating the posterior belief. The simulation results show that the proposed detector achieves significant improvements in terms of the bit-error rate and sum spectral efficiency performances as compared to the ones of the state-of-the-art CF detectors.

Publication Type: Conference Publication
Conference Details: IEEE VTC 2021: 94th Vehicular Technology Conference (VTC2021-Fall), Online Conference, 27th - 30th September, 2021
Source of Publication: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) Proceedings
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: United States of America
ISSN: 0096-1965
Fields of Research (FoR) 2020: 460199 Applied computing not elsewhere classified
461301 Coding, information theory and compression
Socio-Economic Objective (SEO) 2020: 220107 Wireless technologies, networks and services
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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