Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems

被引:19
|
作者
Al-Obiedollah, Haitham Moffaqq [1 ]
Cumanan, Kanapathippillai [2 ]
Thiyagalingam, Jeyarajan [3 ]
Tang, Jie [4 ]
Burr, Alister G. [2 ]
Ding, Zhiguo [5 ]
Dobre, Octavia A. [6 ]
机构
[1] Hashemite Univ, Elect Engn Dept, Zarqa 13133, Jordan
[2] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
[3] Rutherford Appleton Lab, Sci Comp Dept, Sci & Technol Facil Council, Harwell Campus, Didcot OX11 0QX, Oxon, England
[4] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China
[5] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
[6] Mem Univ, Dept Elect & Comp Engn, St John, NF, Canada
基金
英国工程与自然科学研究理事会; 加拿大自然科学与工程研究理事会;
关键词
Array signal processing; NOMA; Measurement; Base stations; Wireless networks; Optimization; Energy efficiency (EE); spectral efficiency (SE); non-orthogonal multiple access (NOMA); convex optimization; multi-objective optimization (MOO); sequential convex approximation (SCA); COGNITIVE RADIO; MIMO-NOMA; WIRELESS; NETWORKS; ALGORITHMS; ALLOCATION; DOWNLINK;
D O I
10.1109/TWC.2020.3004292
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:6593 / 6606
页数:14
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