Performance Improvement for VOIP Based Systems

This study focuses on evaluating how well a wireless voice over internet protocol (VOIP) system works for 4G and 5G communications by using wavelets. It suggests creating a transmission system for wireless VOIP based on data from the wavelet transform (both image and audio data). Each wavelet’s performance will be assessed using several metrics, including signal-to-noise ratio, peak signal-to-noise ratio, root mean squared error, percentage of retained signal energy, and compression ratio. Additionally, other factors such as packet loss, Delay, and Throughput will be analyzed. These parameters will be evaluated with both raw data (without wavelets) and data processed using different wavelets. The simulation results show that the proposed model performs better with various wavelets compared to Markov’s model. Notably, the Daubechies wavelet family yields superior results compared to other types. This model could be beneficial for high-speed IP-based cellular systems where minimizing delay (latency) is crucial. For 5G systems, parallel computing techniques may be used to implement this model effectively.