多小区多用户协同资源效率优化算法
发布时间：2018-08-19 12:33
【摘要】：对第5代无线通信而言,频谱效率和能源效率已经成为衡量无线通信系统性能的两个关键指标.研究了多小区多用户下行链路的资源效率最大化问题,其中资源效率定义为频谱效率和能源效率的加权和.干扰信道的用户速率是一个非凸函数,因此所研究的优化问题也是一个非凸优化问题.利用分数规划理论和用户速率与最小均方误差间的关系,将原优化问题转换成一个易于求解的优化问题.针对所获得的转换问题,提出一种分层迭代交替优化算法,并证明算法的收敛性.数值仿真表明了所提算法的有效性.
[Abstract]:For the fifth generation wireless communication, spectrum efficiency and energy efficiency have become two key indicators to measure the performance of wireless communication systems. In this paper, the problem of resource efficiency maximization for multi-cell and multi-user downlink is studied, in which resource efficiency is defined as the weighted sum of spectral efficiency and energy efficiency. The user rate of interference channel is a non-convex function, so the optimization problem is also a non-convex optimization problem. By using the fractional programming theory and the relationship between the user rate and the minimum mean square error, the original optimization problem is transformed into an optimization problem that is easy to solve. A hierarchical iterative alternating optimization algorithm is proposed to solve the transformation problem and the convergence of the algorithm is proved. Numerical simulation shows the effectiveness of the proposed algorithm.
【作者单位】： 东南大学信息科学与工程学院;池州学院机电工程学院;桂林电子科技大学认知无线电与信息处理教育部重点实验室;
【基金】：国家自然科学基金(No.61471120,No.61372101) 国家科技重大专项基金(No.2013ZX03003006-02) 安徽省高校自然科学研究基金(No.KJ2015A198) 桂林电子科技大学“认知无线电与信息处理”教育部重点实验室开放基金(No.CRKL160203)资助
【分类号】：TN929.5
，
本文编号：2191663
[Abstract]:For the fifth generation wireless communication, spectrum efficiency and energy efficiency have become two key indicators to measure the performance of wireless communication systems. In this paper, the problem of resource efficiency maximization for multi-cell and multi-user downlink is studied, in which resource efficiency is defined as the weighted sum of spectral efficiency and energy efficiency. The user rate of interference channel is a non-convex function, so the optimization problem is also a non-convex optimization problem. By using the fractional programming theory and the relationship between the user rate and the minimum mean square error, the original optimization problem is transformed into an optimization problem that is easy to solve. A hierarchical iterative alternating optimization algorithm is proposed to solve the transformation problem and the convergence of the algorithm is proved. Numerical simulation shows the effectiveness of the proposed algorithm.
【作者单位】： 东南大学信息科学与工程学院;池州学院机电工程学院;桂林电子科技大学认知无线电与信息处理教育部重点实验室;
【基金】：国家自然科学基金(No.61471120,No.61372101) 国家科技重大专项基金(No.2013ZX03003006-02) 安徽省高校自然科学研究基金(No.KJ2015A198) 桂林电子科技大学“认知无线电与信息处理”教育部重点实验室开放基金(No.CRKL160203)资助
【分类号】：TN929.5
，
本文编号：2191663
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