Optimization analysis of 5G+ frequency allocation problem and simulation experiments of some existing optimization algorithms

Since its birth, mobile communication has developed rapidly and has become the basic information network connecting human society. Now, the future oriented fifth generation mobile communication has become a global research and development hotspot. The fifth generation mobile communication technology is the latest generation of cellular mobile communication technology, which is also an extension after 4G (LTE-A, WiMAX), 3G (UMTS, LTE) and 2G (GSM) systems. Its performance goal is high data rate, reduce latency, save energy, reduce cost, improve system capacity and large-scale equipment connection. With the further development of intelligent communication, cloud computing, big data and other technologies are also emerging day by day. These technologies not only make the transmission of data information more convenient, but also meet the requirements of information data conversion and storage, and provide greater convenience for the expansion of communication network services.[1] The main content of this paper is optimization analysis of 5G+ frequency allocation problem and simulation experiments of some existing optimization algorithms. Integer frequency reuse (IFR) is a network structure that can optimize frequency allocation, and the intelligent optimization algorithms of simultaneous water filling (SWF) and transmit interference temperature limit (tx-ITL) based on integer frequency reuse (IFR) can greatly improve the user capacity and optimize frequency allocation.