Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems
Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems
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DOI：
10.1109/twc.2020.3004292
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发表时间：
2020-06
影响因子：
10.4
通讯作者：
H. Al-Obiedollah;K. Cumanan;Jeyarajan Thiyagalingam;Jie Tang;A. Burr;Z. Ding;O. Dobre
中科院分区：
文献类型：
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作者：
H. Al-Obiedollah;K. Cumanan;Jeyarajan Thiyagalingam;Jie Tang;A. Burr;Z. Ding;O. Dobre
能量效率（EE）和频谱效率（SE）是未来无线网络中的两个关键性能指标，涵盖设计和操作要求。对于先前的常规资源分配技术，这两个性能度量已经被孤立地考虑，导致这些度量中的任一个的严重性能降级。出于这个问题，在本文中，我们提出了一种新的波束成形设计，共同考虑在多输入单输出非正交多址接入系统的两个性能指标之间的权衡。特别是，我们制定了一个联合SE-EE为基础的设计作为一个多目标优化（MOO）问题，以实现两个性能指标之间的良好权衡。然而，这个MOO问题在数学上并不容易处理，因此，由于目标冲突，很难确定可行的解决方案，其中两者都需要同时优化。为了克服这个问题，我们利用一个先验的关节计划结合加权和的方法。利用这一点，我们重新制定了原来的MOO问题作为一个传统的单目标优化（SOO）问题。在这样做时，我们开发了一个迭代算法来解决这个非凸SOO问题，使用顺序凸逼近技术。仿真结果表明，该方法的优点和有效性，提供了可用的波束成形设计。
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.