A survey on mobile edge networks: Convergence of computing, caching and communications
As the explosive growth of smart devices and the advent of many new applications, traffic
volume has been growing exponentially. The traditional centralized network architecture …
volume has been growing exponentially. The traditional centralized network architecture …
Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
A functional architecture for 6g special-purpose industrial iot networks
NH Mahmood, G Berardinelli, EJ Khatib… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Future industrial applications will encompass compelling new use cases requiring stringent
performance guarantees over multiple key performance indicators, such as reliability …
performance guarantees over multiple key performance indicators, such as reliability …
Cellular network traffic prediction incorporating handover: A graph convolutional approach
Cellular traffic prediction enables operators to adapt to traffic demand in real-time for
improving network resource utilization and user experience. To predict cellular traffic …
improving network resource utilization and user experience. To predict cellular traffic …
Cooperative edge computing with sleep control under nonuniform traffic in mobile edge networks
Mobile edge computing (MEC) is one of the key technologies for fifth generation networks
and beyond, which brings computation resources in proximity to end users. While enabling …
and beyond, which brings computation resources in proximity to end users. While enabling …
Scaling upf instances in 5g/6g core with deep reinforcement learning
In the 5G core and the upcoming 6G core, the User Plane Function (UPF) is responsible for
the transportation of data from and to subscribers in Protocol Data Unit (PDU) sessions. The …
the transportation of data from and to subscribers in Protocol Data Unit (PDU) sessions. The …
Joint resource allocation and trajectory optimization in UAV-enabled wirelessly powered MEC for large area
Y Zeng, S Chen, Y Cui, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article investigates a wirelessly powered mobile edge computing (MEC) framework with
the cooperation between an unmanned aerial vehicle (UAV) and a center Cloud. In this …
the cooperation between an unmanned aerial vehicle (UAV) and a center Cloud. In this …
High-accuracy wireless traffic prediction: A GP-based machine learning approach
Wireless traffic prediction can effectively reduce the uncertainty in network demand and
supply, and thus is a key enabler of smart management in next-generation wireless …
supply, and thus is a key enabler of smart management in next-generation wireless …
An adaptive scaling mechanism for managing performance variations in network functions virtualization: A case study in an nfv-based epc
CHT Arteaga, F Risso… - 2017 13th International …, 2017 - ieeexplore.ieee.org
The scaling is a fundamental task that allows addressing performance variations in Network
Functions Virtualization (NFV). In the literature, several approaches propose scaling …
Functions Virtualization (NFV). In the literature, several approaches propose scaling …
Traffic-profile and machine learning based regional data center design and operation for 5G network
Data center in the fifth generation (5G) network will serve as a facilitator to move the wireless
communication industry from a proprietary hardware based approach to a more software …
communication industry from a proprietary hardware based approach to a more software …