TY - JOUR
T1 - Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems
AU - Al-Obiedollah, Haitham Moffaqq
AU - Cumanan, Kanapathippillai
AU - Thiyagalingam, Jeyarajan
AU - Tang, Jie
AU - Burr, Alister G.
AU - Ding, Zhiguo
AU - Dobre, Octavia A.
N1 - Funding Information:
Manuscript received March 12, 2019; revised August 5, 2019, December 15, 2019, and April 14, 2020; accepted June 13, 2020. Date of publication July 2, 2020; date of current version October 9, 2020. The work of Haitham Al-Obiedollah was supported by the Hashemite University, Zarqa, Jordan. The work of Zhiguo Ding was supported by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P009719/2. The work of Octavia A. Dobre was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), through its Discovery Program. The associate editor coordinating the review of this article and approving it for publication was X. Yuan. (Corresponding author: Haitham Al-Obiedollah.) Haitham Al-Obiedollah is with the Electrical Engineering Department, The Hashemite University, Zarqa 13133, Jordan (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previous conventional resource allocation techniques, these two performance metrics have been considered in isolation, resulting in severe performance degradation in either of these metrics. Motivated by this problem, in this paper, we propose a novel beamforming design that jointly considers the trade-off between the two performance metrics in a multiple-input single-output non-orthogonal multiple access system. In particular, we formulate a joint SE-EE based design as a multi-objective optimization (MOO) problem to achieve a good trade-off between the two performance metrics. However, this MOO problem is not mathematically tractable and, thus, it is difficult to determine a feasible solution due to the conflicting objectives, where both need to be simultaneously optimized. To overcome this issue, we exploit a priori articulation scheme combined with the weighted sum approach. Using this, we reformulate the original MOO problem as a conventional single objective optimization (SOO) problem. In doing so, we develop an iterative algorithm to solve this non-convex SOO problem using the sequential convex approximation technique. Simulation results are provided to demonstrate the advantages and effectiveness of the proposed approach over the available beamforming designs.
AB - Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previous conventional resource allocation techniques, these two performance metrics have been considered in isolation, resulting in severe performance degradation in either of these metrics. Motivated by this problem, in this paper, we propose a novel beamforming design that jointly considers the trade-off between the two performance metrics in a multiple-input single-output non-orthogonal multiple access system. In particular, we formulate a joint SE-EE based design as a multi-objective optimization (MOO) problem to achieve a good trade-off between the two performance metrics. However, this MOO problem is not mathematically tractable and, thus, it is difficult to determine a feasible solution due to the conflicting objectives, where both need to be simultaneously optimized. To overcome this issue, we exploit a priori articulation scheme combined with the weighted sum approach. Using this, we reformulate the original MOO problem as a conventional single objective optimization (SOO) problem. In doing so, we develop an iterative algorithm to solve this non-convex SOO problem using the sequential convex approximation technique. Simulation results are provided to demonstrate the advantages and effectiveness of the proposed approach over the available beamforming designs.
KW - convex optimization
KW - Energy efficiency (EE)
KW - multi-objective optimization (MOO)
KW - non-orthogonal multiple access (NOMA)
KW - sequential convex approximation (SCA)
KW - spectral efficiency (SE)
UR - http://www.scopus.com/inward/record.url?scp=85092776690&partnerID=8YFLogxK
U2 - 10.1109/TWC.2020.3004292
DO - 10.1109/TWC.2020.3004292
M3 - Article
AN - SCOPUS:85092776690
SN - 1536-1276
VL - 19
SP - 6593
EP - 6606
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 10
M1 - 9132716
ER -