Path Design and Resource Management for NOMA Enhanced Indoor Intelligent Robots
Author:
Affiliation:
1. School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London, London, U.K
2. Department of Electrical and Computer Engineering, Western University, London, ON, Canada
Funder
China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/9915540/09750934.pdf?arnumber=9750934
Reference59 articles.
1. Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks
2. Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications
3. Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks
4. Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach
5. Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach
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1. A Semantic Partition Algorithm Based on Improved K-Means Clustering for Large-Scale Indoor Areas;ISPRS International Journal of Geo-Information;2024-01-27
2. Joint Trajectory and Radio Resource Optimization for Autonomous Mobile Robots Exploiting Multi-Agent Reinforcement Learning;IEEE Transactions on Communications;2023-09
3. Deep Reinforcement Learning-Based Video Offloading and Resource Allocation in NOMA-Enabled Networks;Future Internet;2023-05-18
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