Real-Time Resource Optimization for Wireless Networks
Resource allocation in modern wireless networks is constrained by increasingly stringent real-time requirements. Such real-time requirements typically come from, among others, the short coherence time on a wireless channel, the small time resolution for resource allocation in OFDM-based radio frame...
Main Author: | Huang, Yan |
---|---|
Other Authors: | Electrical Engineering |
Format: | Others |
Published: |
Virginia Tech
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10919/101844 |
Similar Items
-
A Deep-Reinforcement-Learning-Based Optimization Approach for Real-Time Scheduling in Cloud Manufacturing
by: Huayu Zhu, et al.
Published: (2020-01-01) -
Deep Reinforcement Learning-Based Resource Scheduling Strategy for Reliability-Oriented Wireless Body Area Networks
by: Xu, Y.-H, et al.
Published: (2021) -
Real-Time Energy Harvesting Aided Scheduling in UAV-Assisted D2D Networks Relying on Deep Reinforcement Learning
by: Khoi Khac Nguyen, et al.
Published: (2021-01-01) -
A GPU Scheduling Framework to Accelerate Hyper-Parameter Optimization in Deep Learning Clusters
by: Jaewon Son, et al.
Published: (2021-02-01) -
Deep Reinforcement Learning for Power Controlled Channel Allocation in Wireless Avionics Intra-Communications
by: Yuanjun Zuo, et al.
Published: (2021-01-01)