Paper Info
Title
Predictable Wireless Networking for Real-Time Cyber-Physical-Human Systems: Poster Abstract.
Abstract
Predictable wireless networking is a basis for real-time cyber-physical-human (CPH) systems such as those in augmented reality connected and automated vehicles, and industrial automation, and a fundamental problem in predictable wireless networking is predictable control of intra-network interference in the presence of dynamics and uncertainties. We present the Physical-Ratio-K (PRK) wireless interference model, and we discuss PRK-based scheduling in both mostly immobile and mobile networks. By enabling predictable control of intra-network interference while only requiring local coordination between close-by nodes, PRK-based scheduling enables holistic, multi-scale approaches to predictable wireless networking by enabling effective integration of scheduling with channel assignment, power control, rate control, and advanced communication techniques to address complex dynamics and uncertainties in wireless communication (e.g., fast-varying channel fading and external interference).
Year
DOI
Venue
2017
10.1145/3054977.3057298
IoTDI
Field
DocType
Citations 
Wireless network,Wireless,Scheduling (computing),Computer science,Fading,Power control,Communication channel,Computer network,Cyber-physical system,Wi-Fi array
Conference
0
PageRank 
References 
Authors
0.34
4
5
Name
Order
Citations
PageRank
Hongwei Zhang193567.71
Chuan Li29311.69
Yu Chen351749.61
Pengfei Ren445.29
Ling Wang500.34