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| 基于深度学习的两跳放大转发中继网络多中继选择策略 |
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方国杏1, 贾楠楠1, 张逸凡1, 王龙龙1, 王淑贤1, 杨茹1, 彭张节1,2
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1.上海师范大学 信息与机电工程学院, 上海 201418;2.东南大学 信息科学与工程学院 移动通信国家重点实验室, 江苏 南京 211189
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| 摘要: |
| 以接收端的平均接收信噪比（SNR）最大化为目标，两跳放大转发中继网络多中继选择策略问题被规划为0-1非线性整数规划问题，其最优解只可以利用穷举法得到.提出基于深度学习多中继选择策略，降低时间复杂度.仿真结果表明：与穷举法相比，该方法能够达到几乎相同的平均接收SNR，且其时间复杂度明显低于穷举法. |
| 关键词: 两跳放大转发中继网络 多中继选择 深度学习 平均接收信噪比(SNR) 时间复杂度 |
| DOI：10.3969/J.ISSN.1000-5137.2020.01.009 |
| 分类号:TN929.5 |
| 基金项目:国家自然科学基金（61701307）；东南大学信息科学与工程学院移动通信国家重点实验室开放研究基金（2018D14） |
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| Multi-relay selection strategy in two-hop amplify-and-forward relay network based on deep learning |
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FANG Guoxing1, JIA Nannan1, ZHANG Yifan1, WANG Longlong1, WANG Shuxian1, YANG Ru1, PENG Zhangjie1,2
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1.College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China;2.National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 211189, Jiangsu, China
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| Abstract: |
| The problem of multi-relay selection in a two-hop amplify-and-forward relay network was studied in this paper.Aiming at maximizing the average receiving signal-to-noise ratio (SNR) of the receiver,the problem was firstly considered as 0-1 non-linear integer programming problem which was an NP-hard problem and the optimal solution could only be obtained by exhaustive method.In this paper,we proposed one kind of multi-relay selection strategyin a two-hop amplify-and-forward relay network based on deep learning to reduce the time complexity.Simulation results showed that the method achieved the same average receiving SNR as the exhaustive method,and the time complexity was significantly reduced compared with the exhaustive method. |
| Key words: two-hop amplify-and-forward relay network multi-relay selection deep learning average receiving signal-to-noise ratio (SNR) time complexity |
