Energy Efficient QoS Aware Machine Learning Model for Scheduling Users in NOMA Heterogeneous Networks
Author:
Affiliation:
1. Bannari Amman Institute of Technology,Department of ECE,Erode
2. King Khalid University,Department of Electrical Engineering,Abha,Saudi Arabia
3. Bannari Amman Institute of Technology,Erode
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10009016/10009051/10009589.pdf?arnumber=10009589
Reference13 articles.
1. Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
2. Resource Allocation for Multi-Cell IRS-Aided NOMA Networks
3. Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems
4. Multiobjective cooperative swarm intelligence algorithm for uplink resource allocation in LTE‐A networks
5. QoS- aware Multi-objective PSO-FA based Optimizer for Uplink Radio Resource Management of LTE-A Network
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