activity
20202025
most citedRisk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

65 citations · 160 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.HC2020★ 5 cited

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…

cs.CY2020★ 32 cited

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…

cs.NI2020

Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks

Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi +5

uRLLC and eMBB are two influential services of the emerging 5G cellular network. Latency and reliability are major concerns for uRLLC applications, whereas eMBB services claim for…

physics.soc-ph2020★ 65 cited

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…

eess.SP2020

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…

cs.LG2020★ 34 cited

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems

Md. Shirajum Munir, Nguyen H. Tran, Walid Saad +1

The stringent requirements of mobile edge computing (MEC) applications and functions fathom the high capacity and dense deployment of MEC hosts to the upcoming wireless networks. H…