Multi-agent deep reinforcement learning based transmission latency minimization for delay-sensitive cognitive satellite-uav networks
S Guo, X Zhao - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
With the ubiquitous deployment of a massive number of Internet-of-Things (IoT) devices, the
satellite-aerial networks are becoming a promising candidate to provide flexible and …
satellite-aerial networks are becoming a promising candidate to provide flexible and …
A dynamic resource scheduling scheme in edge computing satellite networks
The LEO satellite network has been a valuable architecture due to its characteristics of wide
coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to …
coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to …
Deep Q-Network based resource allocation for UAV-assisted Ultra-Dense Networks
With the rapid development of the fifth-generation (5G) wireless communications, the
number of users is increasing dramatically and Ultra-Dense Networks (UDN) are becoming …
number of users is increasing dramatically and Ultra-Dense Networks (UDN) are becoming …
Artificial intelligence for satellite communication: A review
F Fourati, MS Alouini - Intelligent and Converged Networks, 2021 - ieeexplore.ieee.org
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …
covered areas, service ubiquity, and service scalability. However, several challenges must …
Satellite-terrestrial integrated edge computing networks: Architecture, challenges, and open issues
STN has been considered a novel network architecture to accommodate a variety of
services and applications in future networks. Being a promising paradigm, MEC has been …
services and applications in future networks. Being a promising paradigm, MEC has been …
Integrated resource management for terrestrial-satellite systems
As data traffic in terrestrial-satellite systems surges, the integration of power allocation for
caching, computing, and communication (3C) has attracted much research attention …
caching, computing, and communication (3C) has attracted much research attention …
Joint offloading and resource allocation for satellite assisted vehicle-to-vehicle communication
Satellite assisted vehicle-to-vehicle (V2V) communication can provide services for vehicles
in depopulated areas, and it can be employed as an effective complementary component for …
in depopulated areas, and it can be employed as an effective complementary component for …
Software-defined networks with mobile edge computing and caching for smart cities: A big data deep reinforcement learning approach
Recent advances in networking, caching, and computing have significant impacts on the
developments of smart cities. Nevertheless, these important enabling technologies have …
developments of smart cities. Nevertheless, these important enabling technologies have …
Joint flight cruise control and data collection in UAV-aided Internet of Things: An onboard deep reinforcement learning approach
Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things
(IoT) networks is a promising technology for large-scale environment sensing. A key …
(IoT) networks is a promising technology for large-scale environment sensing. A key …