Coalition-based Routing and Resource Optimisation Method for 5G User Communications
The fifth generation (5G) technology provides high transmission and low latency communication to users by integrating heterogeneous devices and maximum radio resource utilisation. Prolonged longevity and effective communication are achieved through active resource routing. In addition, interference-...
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| Format: | Article |
| Language: | English |
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Kaunas University of Technology
2025-04-01
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| Series: | Elektronika ir Elektrotechnika |
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| Online Access: | https://eejournal.ktu.lt/index.php/elt/article/view/40106 |
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| _version_ | 1849473154946170880 |
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| author | S. Pragadeswaran B. Nataraj |
| author_facet | S. Pragadeswaran B. Nataraj |
| author_sort | S. Pragadeswaran |
| collection | DOAJ |
| description | The fifth generation (5G) technology provides high transmission and low latency communication to users by integrating heterogeneous devices and maximum radio resource utilisation. Prolonged longevity and effective communication are achieved through active resource routing. In addition, interference-less routing and lossless resource allocation are essential for ensuring successful communication. The transmitting and receiving users rely on shared channels to maximise resource utilisation where interference has a significant issue. In this article, a coalition-based routing and resource optimisation (CRRO) method is proposed to improve the performance of 5G communications. The proposed method relies on the cooperative agreement between resource providers and allocation channels to distinguish the sharing intervals. Maximum routing conditions for devices, service providers, and user routing are met with high longevity. In the coalition-based resource selection, synchronisation between the communicating is considered to maximum interference-less routing efficiency. A modified deep transfer learning is included in the interference level verification based on longevity and low interference to verify the synchronised behaviour of the routing process. The proposed method significantly improves the performance of 5G networks. By dynamically optimising resource allocation, minimising interference, and extending the longevity of the routing, it adapts resource utilisation to the varying conditions of the network and the demands of the users. The proposed CRRO improves resource utilisation and routing longevity by 10.02 %, and 14.41 %, respectively, and reduces latency by 10.47 % for the maximum interval. |
| format | Article |
| id | doaj-art-aab2b6605d7a4656b8c43322a60ff7be |
| institution | Kabale University |
| issn | 1392-1215 2029-5731 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Kaunas University of Technology |
| record_format | Article |
| series | Elektronika ir Elektrotechnika |
| spelling | doaj-art-aab2b6605d7a4656b8c43322a60ff7be2025-08-20T03:24:15ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312025-04-01312798910.5755/j02.eie.4010645360Coalition-based Routing and Resource Optimisation Method for 5G User CommunicationsS. Pragadeswaran0B. Nataraj1Department of Electronics and Communication Engineering, Karpagam Institute of Technology, Coimbatore, IndiaDepartment of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, IndiaThe fifth generation (5G) technology provides high transmission and low latency communication to users by integrating heterogeneous devices and maximum radio resource utilisation. Prolonged longevity and effective communication are achieved through active resource routing. In addition, interference-less routing and lossless resource allocation are essential for ensuring successful communication. The transmitting and receiving users rely on shared channels to maximise resource utilisation where interference has a significant issue. In this article, a coalition-based routing and resource optimisation (CRRO) method is proposed to improve the performance of 5G communications. The proposed method relies on the cooperative agreement between resource providers and allocation channels to distinguish the sharing intervals. Maximum routing conditions for devices, service providers, and user routing are met with high longevity. In the coalition-based resource selection, synchronisation between the communicating is considered to maximum interference-less routing efficiency. A modified deep transfer learning is included in the interference level verification based on longevity and low interference to verify the synchronised behaviour of the routing process. The proposed method significantly improves the performance of 5G networks. By dynamically optimising resource allocation, minimising interference, and extending the longevity of the routing, it adapts resource utilisation to the varying conditions of the network and the demands of the users. The proposed CRRO improves resource utilisation and routing longevity by 10.02 %, and 14.41 %, respectively, and reduces latency by 10.47 % for the maximum interval.https://eejournal.ktu.lt/index.php/elt/article/view/401065g mobile communicationwireless sensor networksresource optimisationroutingtransfer learning |
| spellingShingle | S. Pragadeswaran B. Nataraj Coalition-based Routing and Resource Optimisation Method for 5G User Communications Elektronika ir Elektrotechnika 5g mobile communication wireless sensor networks resource optimisation routing transfer learning |
| title | Coalition-based Routing and Resource Optimisation Method for 5G User Communications |
| title_full | Coalition-based Routing and Resource Optimisation Method for 5G User Communications |
| title_fullStr | Coalition-based Routing and Resource Optimisation Method for 5G User Communications |
| title_full_unstemmed | Coalition-based Routing and Resource Optimisation Method for 5G User Communications |
| title_short | Coalition-based Routing and Resource Optimisation Method for 5G User Communications |
| title_sort | coalition based routing and resource optimisation method for 5g user communications |
| topic | 5g mobile communication wireless sensor networks resource optimisation routing transfer learning |
| url | https://eejournal.ktu.lt/index.php/elt/article/view/40106 |
| work_keys_str_mv | AT spragadeswaran coalitionbasedroutingandresourceoptimisationmethodfor5gusercommunications AT bnataraj coalitionbasedroutingandresourceoptimisationmethodfor5gusercommunications |