论文标题
通过天线选择策略，OFDMA网络中的能源和光谱效率折衷
Energy and Spectral Efficiency Tradeoff in OFDMA Networks via Antenna Selection Strategy
论文作者
论文摘要
在本文中，我们研究了上行正交频分部多访问（OFDMA）通信系统的联合资源分配和天线选择算法设计。 We propose a multi-objective optimization framework to strike a balance between spectral efficiency (SE) and energy efficiency (EE).资源分配设计被配制为多目标优化问题（MOOP），其中相互冲突的目标函数使用加权总和方法将相互冲突的目标函数合并为单个目标函数。为了开发有效的解决方案，提出了替代函数作为目标函数的下限的主要化最小化（MM）方法。然后提出了迭代次优算法以最大化近似目标函数。数值结果揭示了被认为是冲突的系统设计目标之间的一个有趣的权衡，并揭示了EE的改进，并由拟议的OFDMA系统中提议的传输天线选择促进。
In this paper, we investigate the joint resource allocation and antenna selection algorithm design for uplink orthogonal frequency division multiple access (OFDMA) communication system. We propose a multi-objective optimization framework to strike a balance between spectral efficiency (SE) and energy efficiency (EE). The resource allocation design is formulated as a multi-objective optimization problem (MOOP), where the conflicting objective functions are linearly combined into a single objective function employing the weighted sum method. In order to develop an efficient solution, the majorization minimization (MM) approach is proposed where a surrogate function serves as a lower bound of the objective function. Then an iterative suboptimal algorithm is proposed to maximize the approximate objective function. Numerical results unveil an interesting tradeoff between the considered conflicting system design objectives and reveal the improved EE and SE facilitated by the proposed transmit antenna selection in OFDMA systems.
