Research and Application of 4G or 5G Antenna Beam Weight Intelligent Dynamic Optimization

Currently, the common antenna weight parameter optimization strategies in wireless communication industry include manual adjustment and geometric relationship judgement of multiple cell locations. The above methods mainly apply measurement report data and antenna weight parameters. However, these methods have problems, for instance, high optimization cost, large adjustment errors and inability to identify the real user distribution, which are resulting in waste of spectrum resources. Therefore, the research paper focuses on proposing one method of antenna weight intelligent dynamic optimization base on minimization drive test data. Based on user network quality requirements, reducing base station loads. Applying artificial intelligence technology and high-precision data, identifying and aggregating user distribution grid. Simultaneously, it could solve coverage and capacity problems. In consideration of flexible weight parameter configuration capability of large scale array antenna technology, it could achieve the goal that antenna radiation directions follows the user distribution dynamically. More importantly, it is helpful to provide technical references for more refined wireless network optimization field and greatly improves network optimization efficiency.