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Rate-Splitting for Overloaded Multigroup Multicast: Error Performance Evaluation

Chen, Hongzhi, Mi, De, Liu, Zilong, Xiao, Pei and Tafazolli, Rahim (2020) Rate-Splitting for Overloaded Multigroup Multicast: Error Performance Evaluation In: 2020 IEEE International Conference on Communications, 7-11 June 2020, Virtual Conference.

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Abstract

In this work, we provide the first attempt to evaluate error performance of Rate-Splitting (RS) based transmission strategies with constellation-constrained coding/modulation. The consider scenario is an overloaded multigroup multicast, where RS can mitigate the inter-group interference thus achieve a better max-min fair group rate over conventional transmission strategies. We bridge the RS-based rate optimization with modulationcoding scheme selection, and implement them in a developed transceiver framework with either linear or non-linear receiver, where the latter equips with a generalized sphere decoder. Simulation results of a coded bit error rate demonstrate that, while the conventional strategies suffer from the error floor in the considered scenario, the RS-based strategy delivers a superior performance even with low complexity receiver techniques. The proposed analysis, transceiver framework and evaluation methodology provide a generic baseline solution to validate the effectiveness of the RS-based system design in practice. Index Terms—Rate-splitting, overloaded system, multigroup multicast, rank-deficient, generalized sphere decoder, coded bit error rate.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Chen, Hongzhihongzhi.chen@surrey.ac.uk
Mi, Ded.mi@surrey.ac.uk
Liu, Zilong
Xiao, PeiP.Xiao@surrey.ac.uk
Tafazolli, RahimR.Tafazolli@surrey.ac.uk
Date : 29 February 2020
Funders : University of Surrey 5GIC, European Commission
Grant Title : H2020-ICT-2016-2
Projects : 5GXcast
Depositing User : James Marshall
Date Deposited : 10 Jul 2020 12:47
Last Modified : 10 Jul 2020 12:47
URI: http://epubs.surrey.ac.uk/id/eprint/858176

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