3 citations · 10 across the 11 of their papers we have counts for
6 papers · 1 filter
Efficient Sensor Scheduling Strategy Based on Spatio-temporal Scope Information Model
Yang Liu, Chen Dong, Xiaoqi Qin +1
In this paper, based on the spatio-temporal correlation of sensor nodes in the Internet of Things (IoT), a Spatio-temporal Scope information model (SSIM) is proposed to quantify th…
Coexistence between Task- and Data-Oriented Communications: A Whittle's Index Guided Multi-Agent Reinforcement Learning Approach
Ran Li, Chuan Huang, Xiaoqi Qin +3
We investigate the coexistence of task-oriented and data-oriented communications in a IoT system that shares a group of channels, and study the scheduling problem to jointly optimi…
Dynamic Clustering and Power Control for Two-Tier Wireless Federated Learning
Wei Guo, Chuan Huang, Xiaoqi Qin +2
Federated learning (FL) has been recognized as a promising distributed learning paradigm to support intelligent applications at the wireless edge, where a global model is trained i…
Joint Device Selection and Power Control for Wireless Federated Learning
Wei Guo, Ran Li, Chuan Huang +3
This paper studies the joint device selection and power control scheme for wireless federated learning (FL), considering both the downlink and uplink communications between the par…
Multicast Scheduling over Multiple Channels: A Distribution-Embedding Deep Reinforcement Learning Method
Ran Li, Chuan Huang, Xiaoqi Qin +1
Multicasting is an efficient technique for simultaneously transmitting common messages from the base station (BS) to multiple mobile users (MUs). Multicast scheduling over multiple…
Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC
Hui Jiang, Qimei Cui, Yu Gu +3
Grant-free transmission is considered as a promising technology to support sporadic data transmission in massive machine-type communications (mMTC). Due to the distributed manner,…