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Dynamic resource allocation for MC-NOMA VWNs with imperfect SIC

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conference contribution
posted on 13.09.2017, 10:42 authored by Daniel Tweed, Saeedeh Parsaeefard, Mahsa DerakhshaniMahsa Derakhshani, Tho Le-Ngoc
In this work, we investigate the uplink resource allocation problem for virtualized wireless networks (VWNs) supported by multi-carrier non-orthogonal multiple access (MC-NOMA) and present a sensitivity analysis of such a system to imperfect successive interference cancellation (SIC) and various system parameters. The proposed algorithm for power and sub-carrier allocation is derived from the non-convex optimization minimizing power subject to rate and sub-carrier reservations, for which an optimal solution is NP-hard. To develop an efficient solution, we decompose the optimization into separate power and sub-carrier allocation problems and propose an iterative algorithm based on successive convex approximation and complementary geometric programming. Simulation results demonstrate that compared to orthogonal multiple access, for imperfect SIC with residual interference even up to 10%, the proposed algorithm for MC-NOMA can offer significant improvement in spectrum and power efficiency

Funding

This work is supported in part by an NSERC CRD Grant with Huawei Technologies Canada.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC)

Citation

TWEED, D. ... et al, 2017. Dynamic resource allocation for MC-NOMA VWNs with imperfect SIC. IN: Proceedings of 2017 IEEE 28th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2017), Montreal, QC, Canada, 8th-13th October 2017.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Acceptance date

03/08/2017

Publication date

2017

Notes

© 2017 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.

ISBN

9781538635315

eISSN

2166-9589

Language

en

Location

Montreal, QC, Canada