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09/13/2023
Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach
The open radio access network (O-RAN) architecture supports intelligent ...
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09/01/2023
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?
The success of immersive applications such as virtual reality (VR) gamin...
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08/22/2023
Using Early Exits for Fast Inference in Automatic Modulation Classification
Automatic modulation classification (AMC) plays a critical role in wirel...
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12/21/2022
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
The Internet of Senses (IoS) holds the promise of flawless telepresence-...
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09/16/2022
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks
Deep reinforcement learning (DRL) algorithms have recently gained wide a...
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01/19/2022
Online Distributed Coordinated Precoding for Virtualized MIMO Networks with Delayed CSI
We consider online wireless network virtualization (WNV) in a multi-cell...
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09/21/2021
Virtual Reality Gaming on the Cloud: A Reality Check
Cloud virtual reality (VR) gaming traffic characteristics such as frame ...
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06/29/2021
Structure-aware reinforcement learning for node-overload protection in mobile edge computing
Mobile Edge Computing (MEC) refers to the concept of placing computation...
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06/25/2021
Hierarchical Online Convex Optimization
We consider online convex optimization (OCO) over a heterogeneous networ...
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05/09/2021
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
We consider online convex optimization (OCO) with multi-slot feedback de...
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04/09/2021
