3 papers
cs.LG2026
TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting
Zhihang Yuan, Leyang Xue, Waleed Ahsan +1
Traffic forecasting based network operation optimization and management offers enormous promise but also presents significant challenges from traffic forecasting perspective. While…
cs.IT2022
A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks
Waleed Ahsan, Wenqiang Yi, Yuanwei Liu +1
In this paper, we propose a deep state-action-reward-state-action (SARSA) learning approach for optimising the uplink resource allocation in non-orthogonal multiple access (NOM…
cs.IT2020
Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach
Waleed Ahsan, Wenqiang Yi, Zhijin Qin +2
Non-orthogonal multiple access (NOMA) exploits the potential of the power domain to enhance the connectivity for the Internet of Things (IoT). Due to time-varying communication cha…