The University of Southampton
University of Southampton Institutional Repository

Beamforming aided NOMA expedites collaborative multiuser computational off-loading

Beamforming aided NOMA expedites collaborative multiuser computational off-loading
Beamforming aided NOMA expedites collaborative multiuser computational off-loading

This paper proposes a novel multiuser computational off-loading scheme for a fog-based scenario. Specifically, a computing user (CU) distributes its computational tasks to multiple trusted helping users (HUs) by exploiting both nonorthogonal multiple access (NOMA) and beamforming. Firstly, social relationships between the CU and HUs are exploited for the selection of trusted HUs. Then the HUs having sufficient computing resources and high social trust are selected and grouped into multiple pairs. For the sake of improving the spectral efficiency, NOMA is invoked for simultaneously supporting several HUs. Meanwhile, a process of zero-forcing beamforming (ZFBF) is used by the CU to completely eliminate the inter-pair interference, hence further enhancing the sum rate. By analysing the achievable rate and energy consumption of the uplink and downlink transmission, an energy consumption minimization problem is formulated subject to the constraints of signal to interference plus noise ratio (SINR) and transmission latency. We design a user pairing and resource allocation algorithm for successively optimizing the power allocation and computational task distribution while satisfying the classic Karush KuhnTucker (KKT) conditions. Our numerical results demonstrate that by the combining the social relationships, the computational capacities and the channel conditions, the proposed multiuser computational off-loading scheme relying on social trust, NOMA and beamforming improves the energy consumption, sum rate as well as transmission latency.

beamforming, computational off-loading, Fog computing, non-orthogonal multiple access (NOMA)
0018-9545
Wang, Li
fd47f26c-2253-4c80-841c-04d115bd9820
Guan, Mengling
62f18473-1423-44a7-b9b1-2263e4b348ca
Ai, Yutong
99e6f487-898d-4aec-a96c-1881210cea62
Chen, Yingyang
7ca49191-73de-4b56-b282-abd2aa143da9
Jiao, Bingli
ea28bae6-0ea0-4dd7-b800-9326a43c4089
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Li
fd47f26c-2253-4c80-841c-04d115bd9820
Guan, Mengling
62f18473-1423-44a7-b9b1-2263e4b348ca
Ai, Yutong
99e6f487-898d-4aec-a96c-1881210cea62
Chen, Yingyang
7ca49191-73de-4b56-b282-abd2aa143da9
Jiao, Bingli
ea28bae6-0ea0-4dd7-b800-9326a43c4089
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Li, Guan, Mengling, Ai, Yutong, Chen, Yingyang, Jiao, Bingli and Hanzo, Lajos (2018) Beamforming aided NOMA expedites collaborative multiuser computational off-loading. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2018.2853675).

Record type: Article

Abstract

This paper proposes a novel multiuser computational off-loading scheme for a fog-based scenario. Specifically, a computing user (CU) distributes its computational tasks to multiple trusted helping users (HUs) by exploiting both nonorthogonal multiple access (NOMA) and beamforming. Firstly, social relationships between the CU and HUs are exploited for the selection of trusted HUs. Then the HUs having sufficient computing resources and high social trust are selected and grouped into multiple pairs. For the sake of improving the spectral efficiency, NOMA is invoked for simultaneously supporting several HUs. Meanwhile, a process of zero-forcing beamforming (ZFBF) is used by the CU to completely eliminate the inter-pair interference, hence further enhancing the sum rate. By analysing the achievable rate and energy consumption of the uplink and downlink transmission, an energy consumption minimization problem is formulated subject to the constraints of signal to interference plus noise ratio (SINR) and transmission latency. We design a user pairing and resource allocation algorithm for successively optimizing the power allocation and computational task distribution while satisfying the classic Karush KuhnTucker (KKT) conditions. Our numerical results demonstrate that by the combining the social relationships, the computational capacities and the channel conditions, the proposed multiuser computational off-loading scheme relying on social trust, NOMA and beamforming improves the energy consumption, sum rate as well as transmission latency.

Full text not available from this repository.

More information

Accepted/In Press date: 6 July 2018
e-pub ahead of print date: 9 July 2018
Keywords: beamforming, computational off-loading, Fog computing, non-orthogonal multiple access (NOMA)

Identifiers

Local EPrints ID: 425340
URI: http://eprints.soton.ac.uk/id/eprint/425340
ISSN: 0018-9545
PURE UUID: b8b5d90c-9935-48ab-92ba-7d4fb98ceef5
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 12 Oct 2018 16:30
Last modified: 07 Oct 2020 01:33

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×