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Outage probability analysis for the multi-carrier NOMA downlink relying on statistical CSI

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journal contribution
posted on 18.03.2020 by Shenhong Li, Mahsa Derakhshani, Sangarapillai Lambotharan, Lajos Hanzo
In this treatise, we derive tractable closed-form expressions for the outage probability of the single cell multi-carrier non-orthogonal multiple access (MC-NOMA) downlink, where the transmitter side only has statistical CSI knowledge. In particular, we analyze the outage probability with respect to the total data rates (summed over all subcarriers), given a minimum target rate for the individual users. The calculation of outage probability for the distant user is challenging, since the total rate expression is given by the sum of logarithmic functions of the ratio between two shifted exponential random variables, which are dependent. In order to derive the closed-form outage probability expressions both for two subcarriers and for a general case of multiple subcarriers, efficient approximations are proposed. The probability density function (PDF) of the product of shifted exponential distributions can be determined for the near user by the Mellin transform and the generalized upper incomplete Fox’s H function. Based on this PDF, the corresponding outage probability is presented. Finally, the accuracy of our outage analysis is verified by simulation results.

Funding

Communications Signal Processing Based Solutions for Massive Machine-to-Machine Networks (M3NETs) : EP/R006385/1

Engineering and Physical Sciences Research Council under Grant EP/R006385/1, EP/Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Communications

Volume

68

Issue

6

Pages

3572- 3587

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2020 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.

Publication date

2020-03-10

Copyright date

2020

ISSN

0090-6778

eISSN

1558-0857

Language

en

Depositor

Dr Mahsa Derakhshani. Deposit date: 17 March 2020

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