Knowledge-Driven Resource Allocation for Wireless Networks: A WMMSE Unrolled Graph Neural Network Approach
This paper proposes a novel knowledge-driven approach for resource allocation in wireless
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …
networks using the graph neural network (GNN) architecture. To meet the millisecond-level …
Information Timeliness Driven Statistical QoS Guarantee in RIS-Enabled Wireless Networks via Deep Reinforcement Learning
The randomness and complexity of the wireless channel is challenging to meet the various
quality of service (QoS) for different wireless communication application scenarios …
quality of service (QoS) for different wireless communication application scenarios …
Uplink performance Analysis of RIS-Assisted UAV Communication Systems With Random 3-D Mobile Pattern
Reconfigurable intelligent surface (RIS) is playing a growing and ever-more significant role
in constructing six-generation (6G) wireless networks due to its properties of low-cost and …
in constructing six-generation (6G) wireless networks due to its properties of low-cost and …
[HTML][HTML] Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
Task offloading is a potential solution to satisfy the strict requirements of computation-
intensive and latency-sensitive vehicular applications due to the limited onboard computing …
intensive and latency-sensitive vehicular applications due to the limited onboard computing …