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G-MultiSphere: Generalizing Massively Parallel Detection for Non-Orthogonal Signal Transmissions

Jayawardena, Chathura and Nikitopoulos, Konstantinos (2019) G-MultiSphere: Generalizing Massively Parallel Detection for Non-Orthogonal Signal Transmissions IEEE Transactions on Communications. pp. 1-12.

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The increasing demand for connectivity and throughput, despite the spectrum limitations, has triggered a paradigm shift towards non-orthogonal signal transmissions. However, the complexity requirements of near-optimal detection methods for such systems becomes impractical, due to the large number of mutually interfering streams and to the rank-deficient or ill-determined nature of the corresponding interference matrix. This work introduces g-MultiSphere; a generic massively parallel and near-optimal sphere-decoding-based approach that, in contrast to prior work, applies to both well- and ill-determined non-orthogonal systems. We show that g-MultiSphere is the first approach that can support large uplink multi-user MIMO systems with numbers of concurrently transmitting users that exceed the number of receive antennas by a factor of two or more, while attaining throughput gains of up to 60% and with reduced complexity requirements in comparison to known approaches. By eliminating the need for sparse signal transmissions for nonorthogonal multiple access (NOMA) schemes, g-MultiSphere can support more users than existing systems with better detection performance and practical complexity requirements. In comparison to state- of-the-art detectors for NOMA schemes and nonorthogonal signal waveforms (e.g., SEFDM) g-MultiSphere can be up to an order of magnitude less complex, and can provide throughput gains of up to 60%.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 28 October 2019
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/TCOMM.2019.2949812
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Sphere Decoding; Non-Orthogonal-Multiple-Access (NOMA); Multiple-input-multiple-output (MIMO); Parallel Processing; Complexity theory; MIMO communication; Interference; Throughput; NOMA; Receiving antennas; Multiplexing
Depositing User : Clive Harris
Date Deposited : 01 Nov 2019 08:43
Last Modified : 01 Nov 2019 08:43

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