Cellular Traffic Prediction Using Online Prediction Algorithms

arXiv:2405.05239v1 Announce Type: cross
Abstract: The advent of 5G technology promises a paradigm shift in the realm of telecommunications, offering unprecedented speeds and connectivity. However, the efficient management of traffic in 5G networks remains a critical challenge. It is due to the dynamic and heterogeneous nature of network traffic, varying user behaviors, extended network size, and diverse applications, all of which demand highly accurate and adaptable prediction models to optimize network resource allocation and management. This paper investigates the efficacy …

abstract algorithms arxiv cellular challenge connectivity cs.lg cs.sy dynamic eess.sy however management nature network networks paradigm prediction realm shift technology telecommunications traffic type