65 citations · 102 across the 5 of their papers we have counts for
5 papers
Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning
Fateme Salehi, Aamir Mahmood, Sarder Fakhrul Abedin +2
6G networks are composed of subnetworks expected to meet ultra-reliable low-latency communication (URLLC) requirements for mission-critical applications such as industrial control…
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Md. Shirajum Munir, Sarder Fakhrul Abedin, Ki Tae Kim +3
This paper presents a cognitive behavioral-based driver mood repairment platform in intelligent transportation cyber-physical systems (IT-CPS) for road safety. In particular, we pr…
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective
Anupam Kumar Bairagi, Mehedi Masud, Do Hyeon Kim +8
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective preventive measures to control th…
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran +3
In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services. However, energy consum…
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran +2
In this paper, we design a navigation policy for multiple unmanned aerial vehicles (UAVs) where mobile base stations (BSs) are deployed to improve the data freshness and connectivi…