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Title: Outage-constrained robust power allocation for downlink MC-NOMA with imperfect SIC
Authors: Li, Shenhong
Derakhshani, Mahsa
Lambotharan, Sangarapillai
Keywords: MC-NOMA
5G
Robust optimization
Imperfect SIC
Outage probability
Complementary geometric programming
Issue Date: 2018
Publisher: © IEEE
Citation: LI, S., DERAKHSHANI, M. and LAMBOTHARAN, S., 2018. Outage-constrained robust power allocation for downlink MC-NOMA with imperfect SIC. IN: Proceedings of the IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 20-24 May 2018.
Abstract: In this paper, we study power allocation for downlink multi-carrier non-orthogonal multiple access (MC-NOMA) systems and examine the effects of residual cancellation errors resulting from imperfect successive interference cancellation (SIC) on the system performance. In the presence of random SIC errors, we study outage probability of minimum reserved rate for individual user and formulate outage-constrained robust optimization to minimize the total transmit power. Since the problem is non-convex due to probabilistic constraints, complementary geometric programming (CGP) and arithmetic geometric mean approximation (AGMA) technique are employed to transform it into a convex form. An efficient iterative algorithm with low computational complexity is developed to solve the optimization problem. Simulation results demonstrate the performance of robust MC-NOMA with imperfect SIC and compare that to non-robust MC-NOMA and orthogonal multiple access (OMA) schemes.
Description: 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.
Sponsor: This work has been supported by the Engineering and Physical Science Research Council of the UK, EPSRC, under the grant EP/M015475.
Version: Accepted for publication
DOI: 10.1109/ICC.2018.8422364
URI: https://dspace.lboro.ac.uk/2134/28466
Publisher Link: http://doi.org/10.1109/ICC.2018.8422364
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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