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基于坐标下降算法的5G广播波束权值智能优化方法研究

Research on intelligent optimization method of 5G broadcast beam weight based on coordinate descent algorithm
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摘要 随着5G建设步伐的加快,无线通信网络的复杂程度不断更迭,网络优化需求增多,且精细化要求不断提高,传统的Massive MIMO广播波束权值优化仅依靠人工配置,已无法满足当前网络变化的需要。本文创新性地提出了一种基于坐标下降算法的5G广播波束权值智能优化方法,可自适应灵活调整天线波束权值配置,实现多场景下波束权值智能优化,极大提升优化效率,减少人工成本投入。 With the acceleration of 5G construction,the complexity of wireless communication network is constantly improving,and the demand for network optimization and refinement requirements are increasing.The traditional broadcast beam weight optimization of Massive MIMO only depends on manual confi guration,which can not meet the needs of current network changes.The 5G automatic broadcast beam weight optimization technology described in this paper can adaptively and flexibly adjust the antenna beam weight confi guration,intelligently optimize the beam weight in multiple scenarios,greatly improve the optimization effi ciency and reduce labor cost investment.
作者 武琳栋 吴卓俊 WU Lin-dong;WU Zhuo-jun(China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China)
出处 《电信工程技术与标准化》 2022年第7期52-56,共5页 Telecom Engineering Technics and Standardization
关键词 5G Massive MIMO 广播波束权值 智能优化 5G Massive MIMO broadcast beam weight intelligent optimization
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