A multi-agent reinforcement learning approach for massive access in NOMA-URLLC networks

H Han, X Jiang, W Lu, W Zhai, Y Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ultra-reliable low-latency communication (URLLC) enables diverse applications with
rigorous latency and reliability requirements. To provide a wide range of services, the future …
被引用次数：4 相关文章

A Multi-Agent Reinforcement Learning Approach for Massive Access in NOMA-URLLC Networks

H Han, X Jiang, W Lu, W Zhai, Y Li… - IEEE Transactions …, 2023 - nchr.elsevierpure.com
Ultra-reliable low-latency communication (URLLC) enables diverse applications with
rigorous latency and reliability requirements. To provide a wide range of services, the future …

A Multi-Agent Reinforcement Learning Approach for Massive Access in NOMA-URLLC Networks

H Han, X Jiang, W Lu, W Zhai, Y Li… - IEEE Transactions …, 2023 - dclibrary.mbzuai.ac.ae
Ultra-reliable low-latency communication (URLLC) enables diverse applications with
rigorous latency and reliability requirements. To provide a wide range of services, the future …
[PDF] researchgate.net

[PDF][PDF] A Multi-Agent Reinforcement Learning Approach for Massive Access in NOMA-URLLC Networks

H Han, X Jiang, W Lu, W Zhai, Y Li, N Kumar… - researchgate.net
Ultra-reliable low-latency communication (URLLC) enables diverse applications with
rigorous latency and reliability requirements. To provide a wide range of services, the future …