Heterogeneous computational resource allocation for NOMA: Toward green mobile edge-computing systems
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 …
broadband services in the new-generation heterogeneous systems. The dense deployment …
Access Control, Key Management, and Trust for Emerging Wireless Body Area Networks
Wireless Body Area Networks (WBANs) are an emerging industrial technology for
monitoring physiological data. These networks employ medical wearable and implanted …
monitoring physiological data. These networks employ medical wearable and implanted …
A survey on UAV-enabled edge computing: Resource management perspective
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …
computation, communication, and storage resources within the geographic proximity of …
FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment
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 …
generating large amounts of data at or close to the network edge, Mobile Edge Computing …
Online deployment algorithms for microservice systems with complex dependencies
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 …
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
In recent years, the Internet of Things (IoT) and mobile communication technologies have
developed rapidly. Meanwhile, many delay-sensitive and computation-intensive IoT services …
developed rapidly. Meanwhile, many delay-sensitive and computation-intensive IoT services …
Attention-Based Deep Reinforcement Learning for Edge User Allocation
Edge computing, a recently developed computing paradigm, seeks to extend cloud
computing by providing users minimal latency. In a mobile edge computing (MEC) …
computing by providing users minimal latency. In a mobile edge computing (MEC) …
Online user and power allocation in dynamic NOMA-Based mobile edge computing
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 …
systems powered by non-orthogonal multiple access. App vendors need to determine a …
User allocation in mobile edge computing: A deep reinforcement learning approach
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 …
services physically and logically close to the users rather than using the cloud for hosting …
Criticality-awareness edge user allocation for public safety
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 …
servers deployed at base stations to serve nearby end-users with low service latency. In this …