Deep Learning-Based Energy Efficient Resource Allocation for Underlay Cognitive MISO Interference Channels
Author:
Affiliation:
1. Department of Information and Communication Engineering, Institute of Marine Science, Gyeongsang National University, Tongyoung, South Korea
2. Department of Information and Communication Engineering, Dongguk University, Seoul, South Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/6687307/7294639/09954053.pdf?arnumber=9954053
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2. Secure and Reliable IoT Communications in Underlay CRN With Imperfect CSI;IEEE Internet of Things Journal;2024-06-01
3. Robust Trajectory and Resource Allocation for UAV Communications in Uncertain Environments With No-Fly Zone: A Deep Learning Approach;IEEE Transactions on Intelligent Transportation Systems;2024
4. Future Green Mobile Communication Technology Facing the “Double Carbon” Goal;MATEC Web of Conferences;2024
5. Comparative Analysis of Diversity Combining Schemes in Power Limited Cognitive Radio Under the Impact of Co-channel Interference;Wireless Personal Communications;2023-10
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