2020/06/19 by Haitham Al‐Obiedollah, Al-Obiedollah, Haitham, Kanapathippillai Cumanan +11
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #Full-Duplex Wireless Communications #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2006.11153
openalex publication_date 2020/06/19 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Energy efficiency (EE) and spectral efficiency (SE) are two of the key\nperformance metrics in future wireless networks, covering both design and\noperational requirements. For previous conventional resource allocation\ntechniques, these two performance metrics have been considered in isolation,\nresulting in severe performance degradation in either of these metrics.\nMotivated by this problem, in this paper, we propose a novel beamforming design\nthat jointly considers the trade-off between the two performance metrics in a\nmultiple-input single-output non-orthogonal multiple access system. In\nparticular, we formulate a joint SE-EE based design as a multi-objective\noptimization (MOO) problem to achieve a good tradeoff between the two\nperformance metrics. However, this MOO problem is not mathematically tractable\nand, thus, it is difficult to determine a feasible solution due to the\nconflicting objectives, where both need to be simultaneously optimized. To\novercome this issue, we exploit a priori articulation scheme combined with the\nweighted sum approach. Using this, we reformulate the original MOO problem as a\nconventional single objective optimization (SOO) problem. In doing so, we\ndevelop an iterative algorithm to solve this non-convex SOO problem using the\nsequential convex approximation technique. Simulation results are provided to\ndemonstrate the advantages and effectiveness of the proposed approach over the\navailable beamforming designs.\n