Power-Efficient Resource Allocation in NOMA Virtualized Wireless Networks.pdf (110.83 kB)

Power-efficient resource allocation in NOMA virtualized wireless networks

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conference contribution
posted on 01.09.2016, 11:16 by Rajesh Dawadi, Saeedeh Parsaeefard, Mahsa Derakhshani, Tho Le-Ngoc
In this paper, we address a power-efficient resource allocation problem in virtualized wireless networks (VWNs) using non-orthogonal multiple access (NOMA). In this set-up, the resources of one base station (BS) are shared among different service providers (slices), where the minimum reserved rate is considered for each slice for guaranteeing their isolation. The formulated resource allocation problem aiming to minimize the total transmit power subject to the isolation constraints is non-convex and suffers from high computational complexity. By applying complementary geometric programming (CGP) to convert the non-convex problem into the convex form, we develop an efficient iterative approach with low computational complexity to solve the proposed problem. Illustrative simulation results on the performance evaluation of VWN using OFDMA and NOMA indicate significant performance improvement in the VWN when NOMA is used.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Global Communications Conference (GLOBECOM)

Citation

DAWADI, R. ... et al., 2016. Power-efficient resource allocation in NOMA virtualized wireless networks. IN: Proceedings of the IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, 4-8 December 2016.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Acceptance date

01/07/2016

Publication date

2016

Notes

© 2016 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

9781509013289

Language

en

Location

Washington, DC, USA

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