DeepAI AI Chat
Log In Sign Up

Communication-Efficient Edge AI Inference Over Wireless Networks

by   Kai Yang, et al.

Given the fast growth of intelligent devices, it is expected that a large number of high-stake artificial intelligence (AI) applications, e.g., drones, autonomous cars, tactile robots, will be deployed at the edge of wireless networks in the near future. As such, the intelligent communication networks will be designed to leverage advanced wireless techniques and edge computing technologies to support AI-enabled applications at various end devices with limited communication, computation, hardware and energy resources. In this article, we shall present the principles of efficient deployment of model inference at network edge to provide low-latency and energy-efficient AI services. This includes the wireless distributed computing framework for low-latency device distributed model inference as well as the wireless cooperative transmission strategy for energy-efficient edge cooperative model inference. The communication efficiency of edge inference systems is further improved by building up a smart radio propagation environment via intelligent reflecting surface.


Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

The recent revival of artificial intelligence (AI) is revolutionizing al...

Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT

The ever-increasing data traffic, various delay-sensitive services, and ...

6G: Connectivity in the Era of Distributed Intelligence

The confluence of 5G and AI is transforming wireless networks to deliver...

Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs

An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous dev...

Joint Communication, Sensing and Computation enabled 6G Intelligent Machine System

With the rapid development of the smart city, high-level autonomous driv...

Wireless Network Intelligence at the Edge

Fueled by the availability of more data and computing power, recent brea...