Energy-Efficient Optimization via Joint Power and Subcarrier Allocation for eMBB and URLLC Services
Author:
Affiliation:
1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/9942447/09869724.pdf?arnumber=9869724
Reference14 articles.
1. Toward Massive, Ultrareliable, and Low-Latency Wireless Communication With Short Packets
2. Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems
3. Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems
4. Energy-Efficient Beamforming Design for User-Centric Full-Duplex Wireless Backhaul Networks
5. Energy Efficiency Maximization via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks
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3. Optimization of Energy Efficiency for Uplink mURLLC Over Multiple Cells Using Cooperative Multiagent Reinforcement Learning;IEEE Internet of Things Journal;2024-05-01
4. Power-aware QoS-centric strategy for ultra reliable low latency communication in 5G beyond wireless networks;Cluster Computing;2024-03-25
5. Resource Allocation and MEAR Maximization for RIS-Aided eMBB/URLLC Traffic Multiplexing;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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