Advancements in Wireless Video Communication Optimization: A Comprehensive Comparison

The ever-increasing demand for real-time wireless video communication has prompted extensive research into various aspects of this technology. We delve into three distinct models (Model-1, Model-2, and Model-3) that collectively contribute to the field's progression and promise in this comprehensive review paper. In this extensive video transmission study, we introduce and investigate three novel models aimed at improving the reliability and efficiency of wireless video communication. The first model, 5G-NR-DDRO, optimizes video transmission for low-latency communication scenarios, significantly reducing distortions and demonstrating significant improvements. The second model uses Artificial Neural Networks (ANN) and Markov Chains to balance delay and data rate in wireless video streaming, reducing errors and delays. To improve data integrity and resilience, the third model combines parallel processing with puncturing rule-based coding. These models, taken together, advance the field of wireless video communication by promising high-quality video transmission in a variety of scenarios and conditions.