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An Efficient Cell Selection Approach in 4G Networks
Author(s) -
Abul Bashar
Publication year - 2021
Publication title -
journal of trends in computer science and smart technology
Language(s) - English
Resource type - Journals
ISSN - 2582-4104
DOI - 10.36548/jtcsst.2020.4.003
Subject(s) - base station , computer science , selection (genetic algorithm) , cellular network , mobile station , bandwidth (computing) , selection algorithm , mathematical optimization , mobile telephony , computer network , mobile radio , mathematics , artificial intelligence
The cell selection mechanism that provides services to each mobile station is referred to as cell selection. For maximizing the current and future of cellular networks, it is necessary to optimize the process. The OFDMA-based systems are LTE-Advanced and IEEE 802.16m for satisfying the mobile station minimum demand by having one or more base station simultaneously. The problem is considered as the optimization problem and defines the problem as it is not considered as NPhard and also not possible for approximation with a reasonable factor. The assumption is that the maximum required bandwidth of a single mobile station is defined as the r-fraction of the capacity of the base station. For cell selection, this paper consists of two algorithms. The first algorithm defines the creation of a (1-r) approximate solution, this is applicable when the coverage of the mobile station is done by one or more base station simultaneously. The second algorithm defines the creation of an approximate solution (1-r /2-r) when the coverage of each mobile station is covered by a maximum one base station. A simulation research that describes the benefit of using our algorithms that have limited and high-loaded power for the future of 4G networks completes the overall study. The performance and capacity are better than the existing algorithms.

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