[HTML][HTML] A survey: Distributed Machine Learning for 5G and beyond
O Nassef, W Sun, H Purmehdi, M Tatipamula… - Computer Networks, 2022 - Elsevier
Abstract 5 G is the fifth generation of cellular networks. It enables billions of connected
devices to gather and share information in real time; a key facilitator in Industrial Internet of …
devices to gather and share information in real time; a key facilitator in Industrial Internet of …
Joint offloading decision and resource allocation for vehicular fog-edge computing networks: A contract-stackelberg approach
With the popularity of mobile devices and development of computationally intensive
applications, researchers are focusing on offloading computation to the mobile-edge …
applications, researchers are focusing on offloading computation to the mobile-edge …
Multi-task learning at the mobile edge: An effective way to combine traffic classification and prediction
Mobile traffic classification and prediction are key tasks for network optimization. Most of the
works in this area present two main drawbacks. First, they treat the two tasks separately, thus …
works in this area present two main drawbacks. First, they treat the two tasks separately, thus …
Edge computing resources reservation in vehicular networks: A meta-learning approach
With the development of autonomous vehicular technologies, the execution tasks become
more memory-consuming and computation-intensive. Simultaneously, a certain portion of …
more memory-consuming and computation-intensive. Simultaneously, a certain portion of …
Edge intelligence-driven joint offloading and resource allocation for future 6G industrial internet of things
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …
evolution from connected things to connected intelligence. Additionally, data scattered …
Cooperative caching and transmission in CoMP-integrated cellular networks using reinforcement learning
Mobile network caching (MNC) and Coordinated MultiPoint (CoMP) joint transmission (JT)
techniques are expected to play a significant role in future networks. Yet, when considering …
techniques are expected to play a significant role in future networks. Yet, when considering …
Wireless powered mobile edge computing with NOMA and user cooperation
B Li, F Si, W Zhao, H Zhang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) and wireless power transfer (WPT) is a promising
technology that provide sustainable energy supply and cloud-like computing services at …
technology that provide sustainable energy supply and cloud-like computing services at …
Joint channel allocation and resource management for stochastic computation offloading in MEC
To accommodate ever-increasing computational workloads while satisfying the
requirements of delay-sensitive tasks, mobile edge computing (MEC) is proposed to offload …
requirements of delay-sensitive tasks, mobile edge computing (MEC) is proposed to offload …
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
G Apruzzese, R Vladimirov… - … on Network and …, 2022 - ieeexplore.ieee.org
Fifth Generation (5G) networks must support billions of heterogeneous devices while
guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet …
guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet …
Learning driven NOMA assisted vehicular edge computing via underlay spectrum sharing
Edge computing has been considered as one of the key paradigms in the fifth-generation
(5G) networks for enabling computation-intensive yet latency-sensitive vehicular Internet …
(5G) networks for enabling computation-intensive yet latency-sensitive vehicular Internet …