Heterogeneous computational resource allocation for NOMA: Toward green mobile edge-computing systems

A Mohajer, MS Daliri, A Mirzaei… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a viable solution in response to the growing demand for
broadband services in the new-generation heterogeneous systems. The dense deployment …

[HTML][HTML] Access Control, Key Management, and Trust for Emerging Wireless Body Area Networks

A Salehi Shahraki, H Lauer, M Grobler, A Sakzad… - Sensors, 2023 - mdpi.com
Wireless Body Area Networks (WBANs) are an emerging industrial technology for
monitoring physiological data. These networks employ medical wearable and implanted …

A survey on UAV-enabled edge computing: Resource management perspective

X Xia, SMM Fattah, MA Babar - ACM Computing Surveys, 2023 - dl.acm.org
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment

J Zhang, X Cheng, C Wang, Y Wang, Z Shi, J Jin… - World Wide Web, 2022 - Springer
With rapid advancement of Internet of Things (IoT) and social networking applications
generating large amounts of data at or close to the network edge, Mobile Edge Computing …

Online deployment algorithms for microservice systems with complex dependencies

X He, Z Tu, M Wagner, X Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cloud and edge computing have been widely adopted in many application scenarios. With
the increasing demand of fast iteration and complexity of business logic, it is challenging to …

Dynamic task offloading and resource allocation for noma-aided mobile edge computing: An energy efficient design

Y Chen, J Xu, Y Wu, J Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the Internet of Things (IoT) and mobile communication technologies have
developed rapidly. Meanwhile, many delay-sensitive and computation-intensive IoT services …

Attention-Based Deep Reinforcement Learning for Edge User Allocation

J Chang, J Wang, B Li, Y Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge computing, a recently developed computing paradigm, seeks to extend cloud
computing by providing users minimal latency. In a mobile edge computing (MEC) …

User allocation in mobile edge computing: A deep reinforcement learning approach

SP Panda, A Banerjee… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In recent times, the need for low latency has made it necessary to deploy application
services physically and logically close to the users rather than using the cloud for hosting …

Online user and power allocation in dynamic NOMA-Based mobile edge computing

P Lai, Q He, F Chen, M Abdelrazek… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This study tackles the online user allocation problem in mobile edge computing (MEC)
systems powered by non-orthogonal multiple access. App vendors need to determine a …

Criticality-awareness edge user allocation for public safety

E Liu, L Zheng, Q He, B Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge computing provides a novel computing paradigm by deploying services on edge
servers deployed at base stations to serve nearby end-users with low service latency. In this …