Hybrid multiple access for network slicing aware mobile edge computing

MA Hossain, N Ansari - IEEE Transactions on Cloud …, 2023 - ieeexplore.ieee.org
Meeting huge traffic demand with resource constraints imposes a significant challenge for
future generation wireless networks. In this work, we propose to utilize limited resources in a …

Convex hull obstacle-aware pedestrian tracking and target detection in theme park applications

Y Choi, H Kim - Drones, 2023 - mdpi.com
Barriers are utilized for various tasks in security, environmental monitoring, penetration
detection and reconnaissance. It is highly necessary to consider how to support pedestrian …

Energy-efficient Federated edge learning in multi-tier NOMA-enabled HetNet

MA Hossain, N Ansari - IEEE Transactions on Cloud …, 2023 - ieeexplore.ieee.org
We propose a novel multi-tier (top, intermediate, and bottom tiers) architecture at the edge of
a heterogeneous network (HetNet) where non-orthogonal multiple access (NOMA) provides …

Trajectory Planning, Phase Shift Design and IoT Devices Association in Flying-RIS-Assisted Mobile Edge Computing

L Li, W Guan, C Zhao, Y Su… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the blossom of Internet of Things (IoT) technology, the big data volumes raised by the
large number of IoT devices have posed great burden on the communication and computing …

AI-assisted E2E Network Slicing for Integrated Sensing and Communication in 6G Networks

MA Hossain, A Xiang, A Kiani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the realm of modern wireless networks, the integration of wireless sensing and
communication systems is pivotal, especially in the context of the forthcoming 6G Internet of …

Optimizing Mobility-Aware Task Offloading in Smart Healthcare for Internet of Medical Things Through Multi-Agent Reinforcement Learning

C Dong, Y Sun, M Shafiq, N Hu, Y Liu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the scenario of smart healthcare applications, the Internet of Medical Things (IoMT)
devices, equipped with limited resources, would offload numerous computation-heavy tasks …

Computation-Efficient Offloading and Power Control for MEC in IoT Networks by Meta Reinforcement Learning

MA Hossain, W Liu, N Ansari - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Due to the proliferation of devices and the availability of computing servers, mobile edge
computing (MEC) has gained popularity in executing various computational tasks. MEC …

Secure Mobile Edge Computing via a Drone-Enabled FSO-Based Heterogeneous Network

W Liu, S Zhang, N Ansari - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
A secure mobile edge computing (MEC) framework, which leverages free space optics
(FSO) to provision backhauling from drone-mounted base stations (DBSs) to a macro base …

Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach

Y Wang, Y He, FR Yu, B Song… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
The Metaverse offers a highly immersive virtual world where users interact with others and
objects in real time through their avatars. The integration of Internet of Things (loT) devices …

[HTML][HTML] Partial observation learning-based task offloading and spectrum allocation in UAV collaborative edge computing

C Fan, X Wu, B Li, C Zhao - Digital Communications and Networks, 2024 - Elsevier
Capable of flexibly supporting diverse applications and providing computation services, the
Mobile Edge Computing (MEC)-assisted Unmanned Aerial Vehicle (UAV) network is …