NOMA Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users
Author:
Affiliation:
1. Aalborg University,Dept. of Electronic Systems,Aalborg,Denmark
2. University of Pisa,Dept. of Information Engineering,Pisa,Italy
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771653.pdf?arnumber=9771653
Reference18 articles.
1. Optimization of URLLC and eMBB Multiplexing via Deep Reinforcement Learning
2. Outage Exponent: A Unified Performance Metric for Parallel Fading Channels
3. Approximating the Outage Probability of Parallel Fading Channels
4. Outage Probability Analysis for the Multi-Carrier NOMA Downlink Relying on Statistical CSI
5. Radio Resource Management for Ultra-Reliable and Low-Latency Communications
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Online deep learning based energy efficient optimization for IRS-assisted eMBB and URLLC services;Physical Communication;2023-12
2. Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users;IEEE Transactions on Wireless Communications;2022-12
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