Improving the Overall Network Lifetime by Reducing Inter-Symbol Interference in Wireless Communication by Using Machine Learning Algorithm

Inter-symbol interference (ISI) is a major issue in wireless communication systems, due to its adverse effect on communication performance. This can result in decreased throughput, increased latency, and decreased system lifetime overall. In this paper, we propose methods to reduce ISI in wireless communication systems. We consider different modulation techniques such as OFDM, OFDMA, or CDMA, as well as different channel coding techniques such as turbo codes, trellis codes and turbo trellis codes. We also investigate techniques to improve the ISI immunity by using advanced equalization algorithms. Furthermore, we analyze the impact of antenna diversity techniques and other techniques such as successive interference cancellation, which can be applied to reduce ISI. Finally, we discuss different strategies to minimize the ISI in wireless communication systems, and suggest appropriate choice of parameters and system design to reduce the ISI and improve the overall performance, resulting in better network lifetime.