444 citations · 570 across the 5 of their papers we have counts for
5 papers
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Highly dynamic mobile ad-hoc networks (MANETs) remain as one of the most challenging environments to develop and deploy robust, efficient, and scalable routing protocols. In this p…
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Highly dynamic mobile ad-hoc networks (MANETs) are continuing to serve as one of the most challenging environments to develop and deploy robust, efficient, and scalable routing pro…
Energy Harvesting in 5G Networks: Taxonomy, Requirements, Challenges, and Future Directions
Muhammad Imran, Latif U. Khan, Ibrar Yaqoob +3
Consciousness of energy saving is increasing in fifth-generation (5G) wireless networks due to the high energy consumption issue. Energy harvesting technology is a possible appeali…
Adaptive Beaconing Approaches for Vehicular ad hoc Networks: A Survey
Syed Adeel Ali Shah, Ejaz Ahmed, Feng Xia +3
Vehicular communication requires vehicles to self-organize through the exchange of periodic beacons. Recent analysis on beaconing indicates that the standards for beaconing restric…
Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges
Saeid Abolfazli, Zohreh Sanaei, Ejaz Ahmed +2
Recently, Cloud-based Mobile Augmentation (CMA) approaches have gained remarkable ground from academia and industry. CMA is the state-of-the-art mobile augmentation model that empl…