AI-assisted network-slicing based next-generation wireless networks

X Shen, J Gao, W Wu, K Lyu, M Li… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …

Efficient and secure service-oriented authentication supporting network slicing for 5G-enabled IoT

J Ni, X Lin, XS Shen - IEEE Journal on Selected Areas in …, 2018 - ieeexplore.ieee.org
5G network is considered as a key enabler in meeting continuously increasing demands for
the future Internet of Things (IoT) services, including high data rate, numerous devices …

Energy-efficient edge computing service provisioning for vehicular networks: A consensus ADMM approach

Z Zhou, J Feng, Z Chang, X Shen - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In vehicular networks, in-vehicle user equipment (UE) with limited battery capacity can
achieve opportunistic energy saving by offloading energy-hungry workloads to vehicular …

Combination of ultra-dense networks and other 5G enabling technologies: A survey

MA Adedoyin, OE Falowo - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, to address the astonishing capacity requirement of 5G, researchers are
investigating the possibility of combining different technologies with ultra-dense networks …

Edge intelligence-driven joint offloading and resource allocation for future 6G industrial Internet of Things

Y Gong, H Yao, J Wang, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …

Deep learning based radio resource management in NOMA networks: User association, subchannel and power allocation

H Zhang, H Zhang, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of future wireless communication, the combination of NOMA
technology and millimeter-wave (mmWave) technology has become a research hotspot. The …

Resource allocation for information-centric virtualized heterogeneous networks with in-network caching and mobile edge computing

Y Zhou, FR Yu, J Chen, Y Kuo - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In order to better accommodate the dramatically increasing demand for data caching and
computing services, storage and computation capabilities should be endowed to some of …

A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks

P Dai, K Hu, X Wu, H Xing, F Teng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …

Dynamic radio resource slicing for a two-tier heterogeneous wireless network

Q Ye, W Zhuang, S Zhang, AL Jin… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a dynamic radio resource slicing framework is presented for a two-tier
heterogeneous wireless network. Through software-defined networking-enabled wireless …

End-to-end quality of service in 5G networks: Examining the effectiveness of a network slicing framework

Q Ye, J Li, K Qu, W Zhuang… - IEEE Vehicular …, 2018 - ieeexplore.ieee.org
With software-defined networking (SDN) and network function virtualization (NFV)
technologies, network slicing is a promising solution for resource orchestration to achieve …