| 摘要: |
| 基于点对点多输入多输出（MIMO）通信系统的张量模型，提出了一种以能效最大化为目标的传输参数联合优化方法。首先根据信号矩阵、编码矩阵、信道矩阵构建了接收信号的张量模型和系统能效模型，然后利用张量平行因子（PARAFAC）分解的k-秩条件，通过迭代拟合对能效函数所包含的收发端天线数目、编码长度等传输参数进行联合优化。仿真结果表明，利用穷尽搜索，可以找到一组对应系统能效最大化的传输参数组合。 |
| 关键词: MIMO系统 系统能效 平行因子分解 参数优化 |
| DOI：10.3969/j.issn.1001-893x.2017.09.010 |
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| 基金项目:国家自然科学基金资助项目（61271421，61301150，61571401）;河南省科技攻关计划项目(152102310067) |
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| Parameter settings of MIMO systems for energy efficiency optimization |
| LIU Yali1,,LI Shuangzhi1,DUAN Haipeng2,MU Xiaomin1 |
| (1.School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China;2.School of Integrated Circuits,Southeast University,Nanjing 210096,China) |
| Abstract: |
| Based on the tensor model of point-to-point multiple-input multiple-output(MIMO) communication systems,a joint optimization framework for the transmission parameters is proposed to maximize the energy efficiency. Firstly,the tensor modeling procedure and the system energy efficiency model of the received signal are constructed with the signal matrix,coding matrix and channel matrix,respectively. Then,the k-rank condition of the parallel factor(PARAFAC) decomposition is exploited as the constraints to optimize the transmission parameters including the number of transmitting antennas,the number of receiving antennas,and the coding length by the iterative fitting method. Simulation results show that through the exhaustive search scheme,a set of optimal parameters can be found to maximize the energy efficiency of the system. |
| Key words: MIMO system energy efficiency parallel factor(PARAFAC) decomposition system parameter optimization |
