Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT
Edge computing provides a promising paradigm to support the implementation of Industrial
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …
Dynamic task offloading and resource allocation for mobile-edge computing in dense cloud RAN
Q Zhang, L Gui, F Hou, J Chen, S Zhu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the unprecedented development of smart mobile devices (SMDs), eg, Internet-of-
Things devices and smartphones, various computation-intensive applications are …
Things devices and smartphones, various computation-intensive applications are …
Content service oriented resource allocation for space–air–ground integrated 6G networks: A three-sided cyclic matching approach
Since the existing terrestrial fifth generation (5G) network has limited coverage, it is difficult
to meet the growing demand for seamless network connection. Meanwhile, current network …
to meet the growing demand for seamless network connection. Meanwhile, current network …
Deep multiagent reinforcement-learning-based resource allocation for internet of controllable things
B Gu, X Zhang, Z Lin, M Alazab - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Ultrareliable and low-latency communication (URLLC) is a prerequisite for the successful
implementation of the Internet of Controllable Things. In this article, we investigate the …
implementation of the Internet of Controllable Things. In this article, we investigate the …
A primer on design aspects, recent advances, and challenges in cellular device-to-device communication
Abstract Device-to-Device (D2D) communication is one of the technologies on the spotlight
for enhancing the cellular network performance towards the fifth generation wireless …
for enhancing the cellular network performance towards the fifth generation wireless …
Resource and power allocation in SWIPT-enabled device-to-device communications based on a nonlinear energy harvesting model
Due to the limited battery capacity in mobile devices, simultaneous wireless information and
power transfer (SWIPT) has been proposed as a promising solution to improve the energy …
power transfer (SWIPT) has been proposed as a promising solution to improve the energy …
Power allocation for D2D communications with SWIPT
Power allocation plays a vital role in coordinating interference between Device-to-Device
(D2D) and cellular communications, and when power allocation meets simultaneous …
(D2D) and cellular communications, and when power allocation meets simultaneous …
Joint channel allocation and data delivery for UAV-assisted cooperative transportation communications in post-disaster networks
As the natural disasters may destroy the ground communication infrastructures for the
transportation systems, the communication relief in post-disaster networks is more crucial to …
transportation systems, the communication relief in post-disaster networks is more crucial to …
Make smart decisions faster: Deciding D2D resource allocation via stackelberg game guided multi-agent deep reinforcement learning
Device-to-Device (D2D) communication enabling direct data transmission between two
mobile users has emerged as a vital component for 5G cellular networks to improve …
mobile users has emerged as a vital component for 5G cellular networks to improve …
Deep learning-based resource allocation for device-to-device communication
In this paper, a deep learning (DL) framework for the optimization of the resource allocation
in multi-channel cellular systems with device-to-device (D2D) communication is proposed …
in multi-channel cellular systems with device-to-device (D2D) communication is proposed …