Energy Efficient Scheduling for Short Packet Communications With Finite Blocklength Coding

Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage

SOQ: Structural Reinforcement Learning for Constrained Delay Minimization With Channel State Information

Multi-Agent Reinforcement Learning for a Multichannel Uplink Random Access: Congestion Game Perspective

Multi-Agent Deep Reinforcement Learning for Cross-Layer Scheduling in Mobile Ad-Hoc Networks

Enabling technologies for AI empowered 6G massive radio access networks

Lyapunov Drift-Based Scheduling for Short-Packet Transmission with Finite Blocklength Coding

A faster FPTAS for knapsack problem with cardinality constraint

Buffer-Aware Scheduling and Power Allocation for CoMP Transmission With Large-Scale Antennas

Multi-Agent Reinforcement Learning for a Random Access Game