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作 者:李光远[1] 付辉[1] 张凯[2] 韩芳[1] 徐顺清 孟溪 LI Guangyuan;FU hui;ZHANG Kai;HAN Fang;XU Shunqing;MENG Xi(Department of Engineering,Huanghe Science and Technology College,Zhengzhou 450063;School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876;Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190;China Telecom Research Institue,Beijing 100032)
机构地区:[1]黄河科技学院工学部,郑州450063 [2]北京邮电大学信息与通信工程学院,北京100876 [3]中国科学院计算技术研究所,北京100190 [4]中国电信股份有限公司研究院,北京100032
出 处:《高技术通讯》2025年第2期175-182,共8页Chinese High Technology Letters
基 金:浙江省医学电子与数字健康重点实验室开放课题(MEDH2022013);国家重点研发计划(2020YFB1806700);国家自然科学基金(62071071)资助项目。
摘 要:考虑到毫米波大规模多输入输出(multiple input multiple output,MIMO)系统中传统的全数字波束成形算法能耗较高、成本较大且模拟预编码算法性能较差,提出了一种共享型阵列的混合波束成形算法。首先通过信道矩阵的奇异值分解,提取它们的相位信息作为模拟预编码和模拟合成矩阵,然后将得到的模拟预编码和模拟合成矩阵与信道矩阵一起作为等效信道矩阵,再次进行奇异值分解,即可得到相应的数字预编码矩阵和数字合成矩阵。仿真结果表明,本文所提混合波束成形算法,当射频链路数与数据流数配置相等时,其频谱效率和能效都要明显优于传统的混合波束成形算法,且在工程上易于实现。Considering the high cost and power consumption of the traditional fully-digital beamforming algorithm in milli-meter wave massive multiple input multiple output(MIMO)system,and the poor performance of analog precoding algorithms,a hybrid beamforming algorithm based on the full-connected structure is proposed.Firstly,the phase information is extracted as analog precoding and combining matrix by the singular value decomposition of channel matrix.Then the obtained analog precoding and combining matrix are used together with the original channel matrix as equivalent channel matrix to obtain the corresponding digital precoding and combining matrix by singular value decomposition again.Simulation results demonstrate the proposed hybrid beamforming algorithm can achieve better spectral and energy efficiency than the traditional hybrid beamforming algorithm,while the number of radio frequen-cy chain and data streams are equal.Moreover,the whole singular value decomposition(W-SVD)algorithm is easy to implement in engineering.
分 类 号:TN929.5[电子电信—通信与信息系统]
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