Adaptive multi user diversity meta scheduler to reduce energy consumption
Abstract Reducing energy consumption for economic purposes while fighting against global warming is a major concern in many fields of research. Particularly, in wireless networks a crucial issue remains the design of energy efficient radio resource allocation strategies without spoiling the Quality...
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| Format: | Article |
| Language: | English |
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Springer
2025-06-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-025-07128-5 |
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| author | Cédric Gueguen Christopher Merlhe Guillaume Terrier |
| author_facet | Cédric Gueguen Christopher Merlhe Guillaume Terrier |
| author_sort | Cédric Gueguen |
| collection | DOAJ |
| description | Abstract Reducing energy consumption for economic purposes while fighting against global warming is a major concern in many fields of research. Particularly, in wireless networks a crucial issue remains the design of energy efficient radio resource allocation strategies without spoiling the Quality of Service (QoS) or the system capacity. This study focuses on reducing User Equipment (UE) energy consumption to achieve goals aforementioned as well as to increase their battery lifetime. In order to address this challenge, we propose a meta-scheduler acting before the scheduling process. The proposed solution entitled, Adaptative Multi User Diversity meta Scheduler (AMUDS), is able to manage the multi-user diversity usage made by schedulers depending on the traffic load of the cell and the spectral efficiency. This allows the adequate number of UEs in active mode during a time slot in order to minimize the transmission time and thus, to reduce their energy consumption. Performance evaluation emphasizes that this solution is compatible with the most acknowledged scheduling solutions while keeping their intrinsic properties. |
| format | Article |
| id | doaj-art-910d858fdfff44a9aeeea2b21e480f6b |
| institution | DOAJ |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-910d858fdfff44a9aeeea2b21e480f6b2025-08-20T03:10:35ZengSpringerDiscover Applied Sciences3004-92612025-06-017611910.1007/s42452-025-07128-5Adaptive multi user diversity meta scheduler to reduce energy consumptionCédric Gueguen0Christopher Merlhe1Guillaume Terrier2Univ Rennes, IRISAUniv Rennes, IRISAUniv Rennes, IRISAAbstract Reducing energy consumption for economic purposes while fighting against global warming is a major concern in many fields of research. Particularly, in wireless networks a crucial issue remains the design of energy efficient radio resource allocation strategies without spoiling the Quality of Service (QoS) or the system capacity. This study focuses on reducing User Equipment (UE) energy consumption to achieve goals aforementioned as well as to increase their battery lifetime. In order to address this challenge, we propose a meta-scheduler acting before the scheduling process. The proposed solution entitled, Adaptative Multi User Diversity meta Scheduler (AMUDS), is able to manage the multi-user diversity usage made by schedulers depending on the traffic load of the cell and the spectral efficiency. This allows the adequate number of UEs in active mode during a time slot in order to minimize the transmission time and thus, to reduce their energy consumption. Performance evaluation emphasizes that this solution is compatible with the most acknowledged scheduling solutions while keeping their intrinsic properties.https://doi.org/10.1007/s42452-025-07128-5Wireless networkOpportunistic schedulingEnergy efficiencyMulti-user diversityQuality of Service |
| spellingShingle | Cédric Gueguen Christopher Merlhe Guillaume Terrier Adaptive multi user diversity meta scheduler to reduce energy consumption Discover Applied Sciences Wireless network Opportunistic scheduling Energy efficiency Multi-user diversity Quality of Service |
| title | Adaptive multi user diversity meta scheduler to reduce energy consumption |
| title_full | Adaptive multi user diversity meta scheduler to reduce energy consumption |
| title_fullStr | Adaptive multi user diversity meta scheduler to reduce energy consumption |
| title_full_unstemmed | Adaptive multi user diversity meta scheduler to reduce energy consumption |
| title_short | Adaptive multi user diversity meta scheduler to reduce energy consumption |
| title_sort | adaptive multi user diversity meta scheduler to reduce energy consumption |
| topic | Wireless network Opportunistic scheduling Energy efficiency Multi-user diversity Quality of Service |
| url | https://doi.org/10.1007/s42452-025-07128-5 |
| work_keys_str_mv | AT cedricgueguen adaptivemultiuserdiversitymetaschedulertoreduceenergyconsumption AT christophermerlhe adaptivemultiuserdiversitymetaschedulertoreduceenergyconsumption AT guillaumeterrier adaptivemultiuserdiversitymetaschedulertoreduceenergyconsumption |