A Novel Performance Probability Model for Capacity Assessment of Communication Channels in 5G Wireless Mobile Networks

Capacity assessment of communication channels in 5G wireless mobile networks is essential for optimizing wireless networks for data-intensive applications. Capacity assessment can help determine optimal channel conditions by considering the effects of various physical characteristics such as noise, interference, spectrum limitation, and subscriber density. Additionally, capacity assessment can help identify and characterize the critical technical challenges likely to limit the performance of a wireless network and identify areas for improvement. The novel Performance Probability Model (PPM) for capacity assessment of communication channels in 5G wireless mobile networks is a powerful tool for accurately predicting the future performance of 5G networks. It considers various performance factors such as interference levels, data rates, transmission range, and available spectrum. The model uses statistical methods and probability analysis to generate performance predictions of a 5G system. Using existing knowledge concerning radio communication channel properties, it can estimate the performance probability that a given 5G system can deliver within given environmental constraints. The proposed PPM achieved 87.95% data range, 94.33% scalability, 90.99% latency, 91.60% signal strength, 90.21% bandwidth assessment, and 90.76% reliability. The PPM is a crucial enabler for accurately evaluating the 5G network performance and helps enable informed decisions about system deployment. Moreover, the model is amenable to experimentation and calibration to make it more accurate, reliable, and applicable to other 5G network deployments.