Caching and computation offloading in high altitude platform station (HAPS) assisted intelligent transportation systems

Q Ren, O Abbasi, GK Kurt… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge intelligence, a new paradigm to accelerate artificial intelligence (AI) applications by
leveraging computing resources on the network edge, can be used to improve intelligent …

Handoff-aware distributed computing in high altitude platform station (HAPS)–assisted vehicular networks

Q Ren, O Abbasi, GK Kurt… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Distributed computing enables Internet of vehicle (IoV) services by collaboratively utilizing
the computing resources from the network edge and the vehicles. However, the computing …

AoI-aware wireless resource allocation of energy-harvesting-powered MEC systems

C Zhao, S Xu, J Ren - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been deployed to enhance the data analysis
performance of Internet of Things (IoT) and alleviate the shortage of computing resources for …

Online distributed learning-based load-aware heterogeneous vehicular edge computing

L Zhu, Z Zhang, L Liu, L Feng, P Lin… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is an emerging enabler in strengthening driving efficiency
and traffic safety. However, both performance bottlenecks and low-resource efficiency of …

Research on collaborative edge network service migration strategy based on crowd clustering

J Cao, Z Yu, B Xue - Scientific Reports, 2024 - nature.com
The innovative application of Crowd Intelligent Devices (CIDS) in edge networks has
garnered attention due to the rapid development of artificial intelligence and computer …

Online offloading scheduling for noma-aided mec under partial device knowledge

M Hua, H Tian, X Lyu, W Ni… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
By exploiting the superiority of nonorthogonal multiple access (NOMA), NOMA-aided mobile-
edge computing (MEC) can provide scalable and low-latency computing services for the …

Learning-based load-aware heterogeneous vehicular edge computing

L Zhu, Z Zhang, P Lin, O Shafiq… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Vehicular edge computing is an emerging enabler to support vehicular-based computation-
intensive tasks. By reason of the time-varying vehicular wireless environments and the …

Achievable computation rate in NOMA-based wireless-powered networks assisted by multiple fog servers

H Zheng, K Xiong, P Fan, Z Zhong… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
This article investigates a multifog server (FS)-assisted nonorthogonal multiple access
(NOMA)-based wireless powered network, where an energy-limited wireless device (WD) …

Energy-delay tradeoff in device-assisted NOMA MEC systems: A matching-based algorithm

M Ren, J Chen, Y Zhou, L Yang - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
This paper develops a multi-helper non-orthogonal multiple access (NOMA)-enabled mobile
edge computing (MEC) system, in order to support massive connectivity. To achieve a …

Energy-delay tradeoff in helper-assisted NOMA-MEC systems: A four-sided matching algorithm

M Ren, J Chen, L Yang, Y Zhou, B He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper designs a helper-assisted offloading strategy in non-orthogonal multiple access
enabled mobile edge computing systems, in order to guarantee the quality of service of the …