[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

Physical-layer security based mobile edge computing for emerging cyber physical systems

L Chen, S Tang, V Balasubramanian, J Xia… - Computer …, 2022 - Elsevier
This paper studies a secure mobile edge computing (MEC) for emerging cyber physical
systems (CPS), where there exist K eavesdroppers in the network, which can threaten the …

Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach

Y Wu, J Xia, C Gao, J Ou, C Fan, J Ou, D Fan - Physical Communication, 2022 - Elsevier
This article examines a multi-user mobile edge computing (MEC) system for the Internet of
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …

DQN-based mobile edge computing for smart Internet of vehicle

L Zhang, W Zhou, J Xia, C Gao, F Zhu, C Fan… - EURASIP journal on …, 2022 - Springer
In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

Analytical offloading design for mobile edge computing-based smart internet of vehicle

J Lu, L Chen, J Xia, F Zhu, M Tang, C Fan… - EURASIP journal on …, 2022 - Springer
In this paper, we investigate how to analytically design an analytical offloading strategy for a
multiuser mobile edge computing (MEC)-based smart internet of vehicle (IoV), where there …

Performance analysis for IRS-assisted MEC networks with unit selection

J Lu, S Lai, J Xia, M Tang, C Fan, J Ou, D Fan - Physical Communication, 2022 - Elsevier
In this paper, we investigate the outage performance of the intelligent reflecting surface (IRS)-
assisted mobile edge computing (MEC) network, with a single user, a single computational …

Intelligent resource allocation scheme for cloud-edge-end framework aided multi-source data stream

Y Wu, C Cai, X Bi, J Xia, C Gao, Y Tang… - EURASIP Journal on …, 2023 - Springer
To support multi-source data stream generated from Internet of Things devices, edge
computing emerges as a promising computing pattern with low latency and high bandwidth …

DQN-based resource allocation for NOMA-MEC-aided multi-source data stream

J Ling, J Xia, F Zhu, C Gao, S Lai… - EURASIP Journal on …, 2023 - Springer
This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge
computing (MEC) network with multiple sources and one computing access point (CAP), in …

Profit maximization in cache-aided intelligent computing networks

R Zhao, F Zhu, M Tang, L He - Physical Communication, 2023 - Elsevier
This paper focuses on the profit maximization problem in a reconfigurable intelligent
surfaces (RIS) aided computing network, where multiple heterogeneous users offload their …