Delay and Traffic Matching in Ultra-dense Networks

Name: YANG Howard Hao ZJU Faculty Homepage
Department: ZJUI
Research: Wireless Communications & Networking, Age of Information, Distributed Machine Learning
Document Type: Book Chapter

Chapter Title: Delay and Traffic Matching
in Ultra-dense Networks
Author: Yi Zhong,∗ Howard H. Yang, and Jianhua Tan
Chapter: 9
Page: 141-163
Source Title: Ultra-dense Networks: Principles and Applications
Author/Author of Source: Haijun Zhang, Jemin Lee, Tony Q. S. Quek, Chih-Lin I
Publisher: Cambridge University Press
P-ISBN: 9781108497930
E-ISBN: 9781108671323
Abstract: To take full advantage of the ultra-dense architecture and efficiently serve the traffic with spatiotemporal fluctuation, the transmission mechanisms should be redesigned under the constraints of backhaul and energy consumption. In this chapter, we summarize and classify the spatiotemporal arrival properties of different traffic in ultra-dense networks, and optimize several promising technologies to match the traffic. A new approach based on combining stochastic geometry and queueing theory is proposed to provide a useful guidance for the design of ultra-dense networks.
DOI: https://doi.org/10.1017/9781108671323

Database: Cambridge
Link: https://www.cambridge.org/core/books/ultradense-networks/delay-and-traffic-matc…