Federated deep reinforcement learning based secure data sharing for Internet of Things
The increasing number of Internet of Things (IoT) devices motivate the data sharing that
improves the quality of IoT services. However, data providers usually suffer from the privacy …
improves the quality of IoT services. However, data providers usually suffer from the privacy …
IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning
By employing powerful edge servers for data processing, mobile edge computing (MEC) has
been recognized as a promising technology to support emerging computation-intensive …
been recognized as a promising technology to support emerging computation-intensive …
An ensemble of random decision trees with local differential privacy in edge computing
Edge computing is an emerging computing paradigm, which offers a great opportunity to
implement data mining-based services and applications for a large number of devices and …
implement data mining-based services and applications for a large number of devices and …
Multi-relay assisted computation offloading for multi-access edge computing systems with energy harvesting
In multi-access edge computing systems with energy harvesting (MEC-EH), the mobile
devices are empowered with unstable energy harvested from renewable energy sources. To …
devices are empowered with unstable energy harvested from renewable energy sources. To …
Actions at the edge: Jointly optimizing the resources in multi-access edge computing
Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for
sensing, communications, computing, storage, and intelligence to the premises closer to the …
sensing, communications, computing, storage, and intelligence to the premises closer to the …
Communication and computing resource optimization for connected autonomous driving
Transportation system is facing a sharp disruption since the Connected Autonomous
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
[HTML][HTML] Dynamic routings in satellite networks: An overview
X Cao, Y Li, X Xiong, J Wang - Sensors, 2022 - mdpi.com
The Satellite network is an important part of the global network. However, the complex
architecture, changeable constellation topology, and frequent inter-satellite connection …
architecture, changeable constellation topology, and frequent inter-satellite connection …
Auction mechanism for dynamic bandwidth allocation in multi-tenant edge computing
Inspired by the shared infrastructure of colocation data centers and the growth of Mobile
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Latency optimization for cellular assisted mobile edge computing via non-orthogonal multiple access
In this article, we investigate the cellular assisted mobile edge computing (MEC) via non-
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …
[PDF][PDF] Security Enhancement by Identifying Attacks Using Machine Learning for 5G Network
H Keserwani, H Rastogi, AZ Kurniullah… - International Journal …, 2022 - researchgate.net
Need of security enhancement for 5G network has been increased in last decade. Data
transmitted over network need to be secure from external attacks. Thus there is need to …
transmitted over network need to be secure from external attacks. Thus there is need to …