Packet Loss Modeling Capturing Temporal and Frequency Correlations in OFDMA WiFi Systems

With the increasing adoption of orthogonal frequency division multiple access (OFDMA) technology in WiFi networks, accurately modeling packet loss is crucial for enhancing communication reliability. This is particularly important for ultra-reliable low-latency communications (URLLC), where the complexity of channel models can be prohibitive with many realizations. This paper introduces two streamlined approaches: a correlation-based model and a multi-dimensional Markov chain model. Both models are engineered to capture the intricate interplay of time and frequency dependencies among resource units in OFDMA WiFi systems. By leveraging frequency diversity and employing selection combining techniques, this study validates the accuracy of the proposed models in analyzing packet loss. The paper presents efficient model approximations that establish a comprehensive framework to simulate and analyze packet loss dynamics, contributing to the enhancement of network reliability and the optimization of system performance.