| 采用预编码的GSM网络最大互信息优化方法研究 |
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| 引用本文： | 魏霖静,宁璐璐,练智超,代永强,王联国. 采用预编码的GSM网络最大互信息优化方法研究[J]. 计算机科学, 2017, 44(5): 71-74 |
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| 作者姓名： | 魏霖静 宁璐璐 练智超 代永强 王联国 |
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| 作者单位： | 甘肃农业大学信息科学技术学院 兰州730070,南洋理工大学生物科学学院 新加坡639798,南京理工大学计算机科学与工程学院 南京210094,甘肃农业大学信息科学技术学院 兰州730070;兰州大学信息科学与工程学院 兰州730000,甘肃农业大学信息科学技术学院 兰州730070 |
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| 基金项目： | 本文受国家自然科学基金项目(61063028,31560378),江苏省自然科学基金青年基金(BK20150784),中国博士后面上资助 |
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| 摘 要： | 为了提高广义空间调制(GSM)互信息的性能,提出了一种新的基于椭球算法的预编码方案。首先,为了对含有互信息的预编码器进行优化,推导出了有限字符输入下的GSM互信息解析表达式。在最大化GSM互信息的过程中,为了解决联合预编码设计的非凸耦合问题,将GMS系统转换成虚拟的多输入多输出(MIMO)系统。然后,在考虑所有子信道功率约束的条件下,使用了扩展的椭球算法。实验结果表明,提出的预编码方案大大提升了GSM互信息的性能。
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| 关 键 词： | 广义空间调制(GSM) 有限字符输入 互信息 预编码 椭球算法 |
| 收稿时间： | 2016-06-14 |
| 修稿时间： | 2016-08-10 |
Research on Maximum Mutual Information Optimization in GSM Networks with Precoding |
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| WEI Lin-jing,NING Lu-lu,LIAN Zhi-chao,DAI Yong-qiang and WANG Lian-guo. Research on Maximum Mutual Information Optimization in GSM Networks with Precoding[J]. Computer Science, 2017, 44(5): 71-74 |
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| Authors: | WEI Lin-jing NING Lu-lu LIAN Zhi-chao DAI Yong-qiang WANG Lian-guo |
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| Affiliation: | School of Information Science and Technology,Gansu Agriculture University,Lanzhou 730070,China,School of Biological Sciences,Nanyang Technological University,Singapore 639798,Singapore,School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China,School of Information Science and Technology,Gansu Agriculture University,Lanzhou 730070,China;School of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China and School of Information Science and Technology,Gansu Agriculture University,Lanzhou 730070,China |
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| Abstract: | In order to improve the the performance of generalized spatial modulation (GSM) mutual information,a new precoding scheme based on the ellipsoid algorithm was proposed.First,in order to optimize the preencoder with mutual information,the analytical expression of GSM mutual information under finite character input is derived.In the process of maximizing the mutual information of GSM,the GMS system is transformed into a virtual multi-input multi-output (MIMO) system in order to solve the non-convex coupling problem of joint precoding design.Then,under the condition of considering all the sub-channel power constraints,the extended ellipsoid algorithm is used.The experimental results show that the proposed precoding scheme greatly improves the performance of GSM mutual information. |
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| Keywords: | Generalized spatial modulation (GSM) Finite character input Mutual information Precoding Ellipsoid algorithm |
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