3 papers
cs.NI2026
Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges
Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu +7
Embodied artificial intelligence (AI) is emerging as a key driver of the sixth-generation (6G) wireless networks by enabling agents that continuously perceive, communicate, and act…
physics.soc-ph2020
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…