Abstract:
This work intends to leverage simulation techniques to get knowledge regarding the designing and analysis of wireless communication networks. The parameters, for instance, throughput, Signal-to-Noise Ratio, and latency among others are used to compare the efciency of 5G networks against that of 6G. The main aim of this work is to evaluate the advantages of next generation communication networks over the present one. As such, this work starts with the theoretical framework of wireless communication systems, specifcally the development from 5G towards 6G technology and the need for complex network optimization techniques in this process. This wireless communication system has been designed in a hierarchical form that consists of fve layers namely; user equipment, base station, wireless channel, edge computing, and 6G AI. In essence, this is a powerful design concept since it allows the simulation of real-life communication behavior. Given its ability to perform computations and visualization, the MATLAB software becomes the preferred simulation tool here. The modules include initialization, channel modeling, computation of performance parameters, and output visualization. Path loss computation, received signal power calculation, calculation of SNR, throughput computation. In order to ensure uniformity of comparative analysis, these steps are performed in various practiced environments. AI-based optimization in 6G network is illustrated apart from modeling communication normally done in practice. Some of these include improved SNR performance, throughput adaptability, reduced latencies, and efcient use of resources. It also incorporates theoretical measures such as security and data handling practices. The process of testing and evaluation reveals the differences between the 5G system and 6G system under identical conditions. When comparing these two technologies based on the throughput, SNR, and latency, one can observe that 6G outperforms 5G in all aspects. Additionally, the use of edge computing and AI optimization enhances their performance. The work successfully demonstrates how theoretical models can be ivtransformed into simulations. It has been analyzed that the sixth generation of wireless communication technology is far superior to its predecessor, especially with regard to providing faster, intelligent, and low latency networks for future applications.
