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Performance evaluation and downstream system planning based energy management in LTE systems
The Mobile Edge Computing is a novel prototype that was developed recently due to the benefits and expanding nature of electronic data-processing techniques close to broadcasting networks. In this context nowadays the uses of wireless cellular facilities have been increased drastically in quantity o...
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Published in: | Multimedia tools and applications 2024, Vol.83 (1), p.1787-1840 |
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description | The Mobile Edge Computing is a novel prototype that was developed recently due to the benefits and expanding nature of electronic data-processing techniques close to broadcasting networks. In this context nowadays the uses of wireless cellular facilities have been increased drastically in quantity of cellular users and estimation tasks of the subscribers may be offloaded to network interface for remote implementation. Therefore, required information, and hence power consumption capacity of the base radio station has enhanced substantially. Additionally, this increases the running cost of the total system and also causes global-warming. So, referring to the base radio station power consumption capacity in Long-Term Evolution (LTE) has been the main impediment for merchants to become eco-friendly and valuable in the competing mobile industry. It needs an innovative process to develop Energy Efficient intercommunication in LTE networks. Significance of this study has involved vast research and a global investigation process. The active energy source assignment, equal load sharing, carrier accumulation and bandgap enlargement is therefore categorized in groups and projected in this study for the methods of energy conservation. Every single procedure has unique advantages and drawbacks, which leads to compromise amongst conservation of energy and additional performance for measuring the problems of research design. This study focuses on the different energy conservation methods for the LTE networks and briefly examines their usefulness through a complete comparative analysis. With the gradually increasing number of wireless customers an optimization problem is employed here to assess the LTE system performance and Energy Consumption Rate. |
doi_str_mv | 10.1007/s11042-023-15404-y |
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subjects | Cellular communication Computer Communication Networks Computer Science Conservation Data processing Data Structures and Information Theory Edge computing Energy conservation Energy consumption Energy management Load sharing Mobile computing Multimedia Information Systems Networks Performance evaluation Power consumption Radio stations Special Purpose and Application-Based Systems |
title | Performance evaluation and downstream system planning based energy management in LTE systems |
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