Survey on aerial radio access networks: Toward a comprehensive 6G access infrastructure
Current access infrastructures are characterized by heterogeneity, low latency, high
throughput, and high computational capability, enabling massive concurrent connections …
throughput, and high computational capability, enabling massive concurrent connections …
Fusion of federated learning and industrial Internet of Things: A survey
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Whale optimization algorithm with applications to resource allocation in wireless networks
Resource allocation plays a pivotal role in improving the performance of wireless and
communication networks. However, the optimization of resource allocation is typically …
communication networks. However, the optimization of resource allocation is typically …
[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …
challenging computational problem. Edge Computing is an emerging computation paradigm …
Energy-efficient federated learning over UAV-enabled wireless powered communications
Since the invention in 2016, federated learning (FL) has been a key concept of artificial
intelligence, in which the data of FL users needs not to be uploaded to the central server …
intelligence, in which the data of FL users needs not to be uploaded to the central server …
Hierarchical aerial computing for Internet of Things via cooperation of HAPs and UAVs
With the explosive increment of computation requirements, the multiaccess edge computing
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …
Hybrid NOMA offloading in multi-user MEC networks
Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has
recently attracted significant attention due to its superior capability to reduce the energy …
recently attracted significant attention due to its superior capability to reduce the energy …
NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …
approaches for enabling computation-intensive yet delay-sensitive services in future …
Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learning
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …