Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities
Y Zhou, FR Yu, J Chen, Y Kuo - IEEE Communications Surveys …, 2019 - ieeexplore.ieee.org
It is the overriding trend of the present-day world that traditional systems and mobile devices
are currently transforming into intelligent systems and smart devices. Against this backdrop …
are currently transforming into intelligent systems and smart devices. Against this backdrop …
Efficient computing resource sharing for mobile edge-cloud computing networks
Both the edge and the cloud can provide computing services for mobile devices to enhance
their performance. The edge can reduce the conveying delay by providing local computing …
their performance. The edge can reduce the conveying delay by providing local computing …
Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …
reduces energy consumption by pushing cloud functions to the edge of the networks …
Review of channel estimation for candidate waveforms of next generation networks
The advancement in wireless communication applications encourages the use of effective
and efficient channel estimation (CE) techniques because of the varying behaviour of the …
and efficient channel estimation (CE) techniques because of the varying behaviour of the …
Resource allocation for UAV-aided energy harvesting-powered D2D communications: A reinforcement learning-based scheme
YH Xu, QM Sun, W Zhou, G Yu - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has become one of the most significant
component in future wireless networks since its on-demand and cost-effective deployment …
component in future wireless networks since its on-demand and cost-effective deployment …
Efficient computation resource management in mobile edge-cloud computing
We study the computation resource management problem in mobile edge-cloud computing
networks. Mobile edge servers shall first satisfy the computation requirements of mobile …
networks. Mobile edge servers shall first satisfy the computation requirements of mobile …
Data aggregation in massive machine type communication: Challenges and solutions
Machine type communication (MTC) is a fundamental technology to realize the concept of
fully connected world in fifth generation (5G) Internet of Things (IoT). The massive roll out of …
fully connected world in fifth generation (5G) Internet of Things (IoT). The massive roll out of …
BP neural network-based ABEP performance prediction for mobile Internet of Things communication systems
L Xu, J Wang, H Wang, T Aaron Gulliver… - Neural Computing and …, 2020 - Springer
Wireless communications play an important role in the mobile Internet of Things (IoT). For
practical mobile communication systems, N-Nakagami fading channels are a better …
practical mobile communication systems, N-Nakagami fading channels are a better …
Analysis of drone assisted network coded cooperation for next generation wireless network
In this paper, use of drone as a relay node in Network Coded Cooperation (NCC) for
upcoming wireless networks is proposed to achieve additional diversity as well as improve …
upcoming wireless networks is proposed to achieve additional diversity as well as improve …
Cross layer MAC protocol for a peer conscious opportunistic network coded cooperation system
This article presents a peer conscious opportunistic network coded cooperation (PC-O-
NCC) system that exploits multi-user diversity (MUD) gain in a simple network coded …
NCC) system that exploits multi-user diversity (MUD) gain in a simple network coded …