20 citations · 23 across the 5 of their papers we have counts for
6 papers
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks
Ahmad M. Nagib, Hatem Abou-zeid, Hossam S. Hassanein
Deep reinforcement learning (DRL) algorithms have recently gained wide attention in the wireless networks domain. They are considered promising approaches for solving dynamic radio…
Online Distributed Coordinated Precoding for Virtualized MIMO Networks with Delayed CSI
Juncheng Wang, Ben Liang, Min Dong +2
We consider online wireless network virtualization (WNV) in a multi-cell multiple-input multiple output (MIMO) system with delayed feedback of channel state information (CSI). Mult…
Virtual Reality Gaming on the Cloud: A Reality Check
Sihao Zhao, Hatem Abou-zeid, Ramy Atawia +3
Cloud virtual reality (VR) gaming traffic characteristics such as frame size, inter-arrival time, and latency need to be carefully studied as a first step toward scalable VR cloud…
Hierarchical Online Convex Optimization
Juncheng Wang, Ben Liang, Min Dong +2
We consider online convex optimization (OCO) over a heterogeneous network with communication delay, where multiple workers together with a master execute a sequence of decisions to…
Structure-aware reinforcement learning for node-overload protection in mobile edge computing
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu +3
Mobile Edge Computing (MEC) refers to the concept of placing computational capability and applications at the edge of the network, providing benefits such as reduced latency in han…
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
Juncheng Wang, Ben Liang, Min Dong +2
We consider online convex optimization (OCO) with multi-slot feedback delay, where an agent makes a sequence of online decisions to minimize the accumulation of time-varying convex…