Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach

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.

Management

Performance Analysis and Enhancement of Beamforming Training in 802.11ad

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.

Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching

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.

Retrieval

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach

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.