On the road to 6G: Visions, requirements, key technologies, and testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …
deployment, providing users with new services, improved user experiences as well as a host …
[HTML][HTML] 6G service-oriented space-air-ground integrated network: A survey
N Cheng, HE Jingchao, YIN Zhisheng… - Chinese Journal of …, 2022 - Elsevier
As an indispensable component of the emerging 6G networks, Space-Air-Ground Integrated
Networks (SAGINs) are envisioned to provide ubiquitous network connectivity and services …
Networks (SAGINs) are envisioned to provide ubiquitous network connectivity and services …
Joint computation offloading and resource allocation for edge-cloud collaboration in internet of vehicles via deep reinforcement learning
Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
Dynamic edge association and resource allocation in self-organizing hierarchical federated learning networks
Federated Learning (FL) is a promising privacy-preserving distributed machine learning
paradigm. However, communication inefficiency remains the key bottleneck that impedes its …
paradigm. However, communication inefficiency remains the key bottleneck that impedes its …
Qos-aware computation offloading in leo satellite edge computing for iot: A game-theoretical approach
Low earth orbit (LEO) satellite edge computing can overcome communication difficulties in
harsh environments, which lack the support of terrestrial communication infrastructure. It is …
harsh environments, which lack the support of terrestrial communication infrastructure. It is …
Distributed deep reinforcement learning-based spectrum and power allocation for heterogeneous networks
This paper investigates the problem of distributed resource management in two-tier
heterogeneous networks, where each cell selects its joint device association, spectrum …
heterogeneous networks, where each cell selects its joint device association, spectrum …
Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach
In this paper, a two-timescale radio access network (RAN) slicing and computing task
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …
Green interference based symbiotic security in integrated satellite-terrestrial communications
In this paper, we investigate secure transmissions in integrated satellite-terrestrial
communications and the green interference based symbiotic security scheme is proposed …
communications and the green interference based symbiotic security scheme is proposed …
Incorporating distributed DRL into storage resource optimization of space-air-ground integrated wireless communication network
Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The
effective management of SAGIN resources is a prerequisite for high-reliability …
effective management of SAGIN resources is a prerequisite for high-reliability …
Toward resilient network slicing for satellite–terrestrial edge computing IoT
Satellite–terrestrial edge computing networks (STECNs) emerged as a global solution to
support multiple Internet of Things (IoT) applications in 6G networks. The enabling …
support multiple Internet of Things (IoT) applications in 6G networks. The enabling …