A decoupled learning strategy for massive access optimization in cellular IoT networks
Cellular-based networks are expected to offer connectivity for massive Internet of Things
(mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from …
(mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from …
Deep reinforcement learning-based access class barring for energy-efficient mMTC random access in LTE networks
ATH Bui, AT Pham - IEEE Access, 2020 - ieeexplore.ieee.org
Long-Term Evolution (LTE) networks are expected to be a key enabler for the massive
Machine-Type Communications (mMTC) service in the 5G context. As highly synchronized …
Machine-Type Communications (mMTC) service in the 5G context. As highly synchronized …
Supervised integrated deep deterministic policy gradient model for enhanced control of chemical processes
The low stability and robustness have been significantly hindering the practical applications
of Deep Reinforcement Learning (DRL)-based controllers in industrial processes. In this …
of Deep Reinforcement Learning (DRL)-based controllers in industrial processes. In this …
面向大规模物联网的随机接入: 现状, 挑战与机遇
范平志， 李里， 陈欢， 程高峰， 杨林杰， 汤小波 - 通信学报, 2021 - infocomm-journal.com
在传统通信系统中, 随机接入是终端与网络之间建立无线链路的必经过程, 只有在随机接入完成
之后, 终端与网络之间才能正常进行数据传输. 聚焦大规模节点物联网, 首先阐述了大规模物联网 …
之后, 终端与网络之间才能正常进行数据传输. 聚焦大规模节点物联网, 首先阐述了大规模物联网 …
Joint power allocation and blocklength assignment for reliability optimization in CA-enabled HetNets
L Yang, J Jia, J Chen, X Wang - Peer-to-Peer Networking and Applications, 2024 - Springer
Heterogeneous cellular networks (HetNets) are widely recognized as representing the future
development trend of networks and provide architectural support for the emergence of many …
development trend of networks and provide architectural support for the emergence of many …
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach
Metaverse is expected to create a virtual world closely connected with reality to provide
users with immersive experience with the support of 5G high data rate communication …
users with immersive experience with the support of 5G high data rate communication …
Pricing-based deep reinforcement learning for live video streaming with joint user association and resource management in mobile edge computing
Mobile Edge Computing (MEC) is a promising technique in the 5G Era to improve the
Quality of Experience (QoE) for online video streaming due to its ability to reduce the …
Quality of Experience (QoE) for online video streaming due to its ability to reduce the …
A Hybrid Collaborative Learning for Age of Information Minimization in Massive Access
Supporting massive access from Internet of Things (IoT) devices plays a pivotal role in the
design of 6G networks. Nonetheless, concurrent massive access to the network deteriorates …
design of 6G networks. Nonetheless, concurrent massive access to the network deteriorates …
[HTML][HTML] A Motion Planner Based on Mask-D3QN of Quadruped Robot Motion for Steam Generator
B Xu, X Zhang, X Yu, Y Ou, K Zhang, H Cai, J Zhao… - Biomimetics, 2024 - mdpi.com
Crawling robots are the focus of intelligent inspection research, and the main feature of this
type of robot is the flexibility of in-plane attitude adjustment. The crawling robot HIT_Spibot is …
type of robot is the flexibility of in-plane attitude adjustment. The crawling robot HIT_Spibot is …
Access delay optimization of double-contention random access scheme in machine-to-machine communications
Machine learning-based random access schemes have gained significant attention in recent
years. However, optimizing the access delay of such schemes remains a challenge. In this …
years. However, optimizing the access delay of such schemes remains a challenge. In this …