Dynamic Channel Capacity of an M-Cell SWF/tx-ITL Network: A Multi-Variable Analysis

The research on communication network performance and resource utilization efficiency has attracted much attention. Through a multi-variable analysis, this report focuses on the dynamic channel capacity in an M-cell Simultaneous Water-Filling (SWF) and Transmit Interference Temperature Limit (tx-ITL) network. First, it provides a detailed comparison between the SWF and Equal Power Allocation (EPA) power allocation strategies, analyzing their performance, strengths, and weaknesses under different conditions. Secondly, it evaluates the tx-ITL algorithm across multiple key parameters such as the number of base stations, number of users, number of channels, and Signal-to-Noise Ratio (SNR), further finding the potential and challenges of this algorithm in enhancing the network channel capacity. It is found that the SWF algorithm is better than EPA in an environment with low SNR. In the multi-base station, multi-user, and multi-channel environment, the tx-ITL algorithm shows better resource control capabilities. Through the research presented in this report, it is hoped to provide valuable insights for optimizing 5G and future communication technologies.