@article{MD73EC085,
title = "User Association Algorithm for Improving Throughput of Cell Edge User",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.3.385",
author = "Jong-Seok Rhee, Hyun-Min Yoo, Een-Kee Hong",
keywords = "Cell edge user, Macro cell, Small cell, User association, Heterogeneous network, Monte Carlo tree search",
abstract = "With the advent of the 5G era, the traditional mobile network has been transformed into an ecosystem where numerous small cells coexist with macrocells. This has emphasized the importance of the role of user association (UA) algorithms to ensure that users are appropriately connected to base stations according to the services they require. In this paper, we introduce the research of existing UA algorithms to solve the load imbalance problem in small cell networks, analyze the problem, and propose a new UA algorithm to solve it.
Simulation results to evaluate the performance of the proposed algorithm show that the throughput of resource monopolizing users is reduced, resulting in a decrease in the overall network capacity and average throughput, but the throughput of cell edge users is increased by 15%, which proves that the proposed algorithm can ensure the stable performance of cell edge users."
}