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Low-Complexity Expectation Propagation Detection for Uplink MIMO-SCMA Systems

Mheich, Zeina and Hemadeh, Ibrahim A and Liu, Zilong and Xiao, Pei (2020) Low-Complexity Expectation Propagation Detection for Uplink MIMO-SCMA Systems. In: 2020 International Conference on UK-China Emerging Technologies (UCET), 2020-08-20 - 2020-08-21, Glasgow.

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Abstract

We consider uplink sparse code multiple access (SCMA) systems associated with multiple input multiple output (MIMO), where the transmitters and the receiver are equipped with multiple antennas, for enhanced reliability (diversity gain) or improved data rate (multiplexing gain). For each diversity or multiplexing based MIMO scheme combined with SCMA, we develop low-complexity iterative detection algorithms based on the message passing algorithm (MPA) and the expectation propagation algorithm (EPA). We show that the MIMO-SCMA under EPA enjoys the salient advantage of linear complexity (in comparison to the MPA counterpart with exponential complexity) as well as enhanced error rate performances due to the MIMO transmission. We also show that the performance of EPA depends on the codebook size and the number of antennas.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2020 International Conference on UK-China Emerging Technologies (UCET)
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 04 Nov 2020 10:07
Last Modified: 23 Sep 2022 19:43
URI: http://repository.essex.ac.uk/id/eprint/29030

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