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 …
ubiquitous mobile applications by enhancing system capacity and overall energy efficiency …
Density-based anti-clustering for scheduling D2D communications
Wireless link scheduling in device-to-device (D2D) networks is an NP-hard problem. As a
solution, multiple supervised deep learning (DL) models have been recently proposed …
solution, multiple supervised deep learning (DL) models have been recently proposed …
[PDF][PDF] Design of an Iterative Method for Hybrid Device-to-Device and Network Integration via Dynamic Spectrum Sharing and Intelligent Resource Management
A Bajpai, S Bhargava - Journal of Electrical Systems, 2024 - pdfs.semanticscholar.org
In the evolving landscape of wireless communication, the integration of Device-to-Device
(D2D) communication within traditional network infrastructures emerges as a pivotal solution …
(D2D) communication within traditional network infrastructures emerges as a pivotal solution …