no code implementations • 12 Jul 2023 • Hao Yang, Nan Cheng, Ruijin Sun, Wei Quan, Rong Chai, Khalid Aldubaikhy, Abdullah Alqasir, Xuemin Shen
This paper proposes an novel knowledge-driven approach for resource allocation in device-to-device (D2D) networks using a graph neural network (GNN) architecture.
no code implementations • 2 Jan 2023 • Wen Wu, Nan Cheng, Ning Zhang, Peng Yang, Khalid Aldubaikhy, Xuemin, Shen
Since the derived BF training efficiency is an implicit function, to reveal the relationship between system parameters and BF training performance, we also derive an approximate expression of BF training efficiency.
no code implementations • 2 Jan 2023 • Wen Wu, Ning Zhang, Nan Cheng, Yujie Tang, Khalid Aldubaikhy, Xuemin, Shen
In this paper, we propose a device-to-device (D2D) assisted cooperative edge caching (DCEC) policy for millimeter (mmWave) dense networks, which cooperatively utilizes the cache resource of users and SBSs in proximity.
1 code implementation • Remote Sensing 2022 • Xiucheng Wang, Lianhao Fu, Nan Cheng, Ruijin Sun, Tom Luan, Wei Quan, Khalid Aldubaikhy
In the training procedure, we design a reinforcement learning-based relay GNN (RGNN) to select the best relay path for each user.