Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hopping satellite systems

Z Lin, Z Ni, L Kuang, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the non-uniform geographic distribution and time-varying characteristics of the
ground traffic request, how to make full use of the limited beam resources to serve users …

Security-aware virtual network embedding algorithm based on reinforcement learning

P Zhang, C Wang, C Jiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Virtual network embedding (VNE) algorithm is always the key problem in network
virtualization (NV) technology. At present, the research in this field still has the following …

Knowledge graph aided network representation and routing algorithm for LEO satellite networks

C Li, W He, H Yao, T Mai, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The compelling applications of Low earth orbit (LEO) satellite networks in our daily lives
have been witnessed in recent years, ranging from weather forecasts to military monitoring …

MCEAACO-QSRP: A novel QoS-secure routing protocol for industrial Internet of Things

C Li, Y Liu, J Xiao, J Zhou - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the widespread application of the Industrial Internet of Things (IIoT), the requirements
for sensing equipment to collect data and information continue to increase, and industrial …

A deep reinforcement learning-based QoS routing protocol exploiting cross-layer design in cognitive radio mobile ad hoc networks

TN Tran, TV Nguyen, K Shim… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel deep reinforcement learning-based quality-of-service
(QoS) routing protocol, namely DRQR, exploiting cross-layer design to establish efficient …

Auction design for edge computation offloading in SDN-based ultra dense networks

F Li, H Yao, J Du, C Jiang, Z Han… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Relying on offloading computation tasks to the network edge, ultra dense networks (UDNs)
are capable of providing delay-aware service to nearby users. Meanwhile, software defined …

A new deep Q-network design for QoS multicast routing in cognitive radio MANETs

TN Tran, TV Nguyen, K Shim, DB Da Costa… - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we propose a new deep Q-network (DQN) design for quality-of-service (QoS)
multicast routing (DQMR) protocol to establish efficient QoS multicast (EQM) trees in …

Graph convolutional network aided virtual network embedding for Internet of Thing

S Ma, H Yao, T Mai, J Yang, W He… - … on Network Science …, 2022 - ieeexplore.ieee.org
The past few years have seen the dramatic adoption of the Internet of Things (IoT) in
everyday life, from manufacturing to healthcare. With the emergence of various new Internet …

Artificial intelligence empowered QoS-oriented network association for next-generation mobile networks

X Yuan, H Yao, J Wang, T Mai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing complexity and dynamics of 5G mobile networks have brought revolutionary
changes in its modeling and control, where efficient routing and resource allocation …

Distributed variational bayes-based in-network security for the Internet of Things

W He, Y Liu, H Yao, T Mai, N Zhang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The past few years have witnessed the compelling applications of the Internet of Things (IoT)
in our daily life. The explosive growth of the number of IoT devices also presents a great …