Research on Automatic Intelligent Planning of Wireless Communication Network

Network planning is the core of communication network operation and maintenance, which is directly related to network performance, user perception and investment income. For a long time, wireless communication network planning is mainly to do addition, which leads to problems in the communication network architecture. In turn, resources will be wasted. This paper analyzes the key factors of coverage, capacity and structure in wireless network planning. Based on the analysis, a multi-objective joint optimization model of network planning is established. The high precision network simulation method is studied to improve the simulation accuracy. AI algorithms such as sliding window clustering and particle swarm optimization are integrated to realize automatic site planning (ASP) and automatic cell planning (ACP). It enables us to achieve a high level of self-intelligence in wireless network planning. Through the actual verification of the live network, the joint iteration of ASP and ACP can save about 25% of the base station resources under the constraint of network planning. The efficiency of network operation and maintenance is greatly improved.