Wei Wang: Tianjin Normal University, China
Qilian Liang: University of Texas at Arlington, USA
Xin Lu: Bournemouth University, UK
Jinhwan Koh: GyeongSang National University, South Korea
Xiantao Cai: Wuhan University, China
Submission Status: Closed | Submission Deadline: Closed
This collection is no longer accepting submissions
EURASIP Journal on Wireless Communications and Networking is calling for submissions to our Collection Task-Oriented Communication and Sensing in Intelligent Wireless Network.
With the rapid development of mobile communication technology, artificial intelligence technology and embedded technology, wireless network technology has been widely used in building, security, transportation, industry, agriculture, community and city management, geological disaster monitoring, energy, military and other related fields. Smart security, smart transportation, smart vehicle networking, smart agriculture, smart city, smart power grid, smart battlefield and other products and services have emerged. These intelligent wireless network systems are the key technologies to promote economic construction, emergency response, national defense and military development. These intelligent wireless network systems are the key technologies to promote economic construction, emergency response, national defense and military development.
The traditional communication pattern of transmitting original data first and then executing intelligent tasks is usually adopted in intelligent wireless network. That is, intelligent wireless network relies on sensing devices (such as cameras, etc.) to perceive and collect a large amount of data (such as text, pictures, etc.) and uses the traditional source/channel coding scheme to send the data to the edge/cloud servers after modulation. The edge/cloud servers demodulate the received signals and decode the channel/source to get the recovered original data. Then, artificial intelligence technologies represented by deep learning are used to understand and analyze the data (such as text, pictures, etc.) based on the recovered data, so as to complete a series of intelligent tasks, such as image classification and target recognition. In terms of sensing of intelligent wireless networks, network deployment is usually based on complete and accurate information acquisition, such as sensor network coverage, energy efficiency , and information connectivity between sensor nodes.
With the deep integration of sensing, communication and intelligent computing technologies, intelligent wireless network nodes have become intelligent terminals with strong communication and computing capabilities. The goal of communication and sensing in intelligent wireless network is no longer to accurately transmit bit data or accurately measure signal waveform, but to make the receiver to understand the information content of the sender or the surveyor. That is to take task-oriented as the starting point of communication and sensing in intelligent wireless network and realize a more refined "meaning" representation of the original data.
Given these challenges, this collection seeks to disseminate the latest research work in the domain of task-oriented communication and sensing algorithm and technologies in intelligent wireless network. It will solve the basic problems of communication and sensing in intelligent wireless network, and enhance the application value of intelligent wireless network in smart city, geological disaster monitoring, climate environment monitoring, intelligent military and other scenarios.