FeDRL-D2D: Federated Deep Reinforcement Learning- Empowered Resource Allocation Scheme for Energy Efficiency Maximization in D2D-Assisted 6G Networks
Device-to-device (D2D)-assisted 6G networks are expected to support the proliferation of ubiquitous mobile applications by enhancing system capacity and overall energy efficiency towards a connected-sustainable world. However, the stringent quality of service (QoS) requirements for ultra-massive con...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/47101/ https://doi.org/10.1109/ACCESS.2024.3434619 |
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