基于能效优化的大规模MIMO FDD下行系统导频和功率资源分配算法

发布时间：2018-01-13 03:11

本文关键词：基于能效优化的大规模MIMO FDD下行系统导频和功率资源分配算法　出处：《电子与信息学报》2017年01期 　论文类型：期刊论文

【摘要】：该文针对大规模MIMO FDD下行系统,联合考虑信道估计与数据传输两个阶段的资源分配问题,提出一种能效资源分配算法。该方法以最大化能效为目标,以导频时长、导频功率和数据功率为参量,在指定发射功率和频谱效率约束的条件下建立优化模型。由于目标函数无精确解析形式,借助确定性等价原理对其近似并求得闭合表达式。进而,利用分数规划将原分式形式目标函数等价转换为减式形式,再利用目标函数的下界将非凸优化问题逐步释放为相对容易求解的等效问题,最终获得一种3层迭代能效资源优化算法。仿真结果验证了所提算法的有效性,且具有较快的收敛速度。
[Abstract]:In this paper, for large-scale MIMO FDD downlink systems, the resource allocation problem in two stages of channel estimation and data transmission is considered jointly. An energy efficiency resource allocation algorithm is proposed, which aims at maximizing energy efficiency and takes pilot time, pilot power and data power as parameters. The optimization model is established under the constraint of transmission power and spectral efficiency. Because the objective function has no exact analytic form, it is approximated by deterministic equivalence principle and the closed expression is obtained. The fractional programming is used to transform the original fractional form of objective function into the subtraction form, and then the lower bound of the objective function is used to gradually release the non-convex optimization problem into an equivalent problem which is relatively easy to solve. Finally, a three-layer iterative energy efficiency resource optimization algorithm is obtained. The simulation results show that the proposed algorithm is effective and has a fast convergence rate.
【作者单位】：东南大学信息科学与工程学院;
【基金】：国家863计划项目(2015AA01A703) 国家自然科学基金(61372101,61271018,61671144) 江苏省科技计划项目(BE2015156) 江苏省高校自然科学研究面上项目(16KJB510008)~~
【分类号】：TN919.3
【正文快照】： 1引言近几年来,大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)技术受到无线通信界的广泛关注[1-3],通过在基站部署比现有多天线Province(BE2015156),The Natural Science Research Project ofJiangsu Province for Colleges and Universities(16KJB510008)系统中

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