Stochastic Geometry Methods in Cognitive Radio Networks (Paperback, 1st ed. 2020)

This book provides the first comprehensive study of the applications of stochastic geometry methods in cognitive radio networks. It elaborates the necessary mathematical tools and discusses the state of the art in geometrical modeling and analysis of cognitive radio networks and will be a first general book for the researchers in this field. Readers will be introduced to tools for managing the inherent uncertainty in the spatial locations of wireless nodes in cognitive radio networks, in order to satisfy the interference constraints on the primary receivers and to make the coexistence of primary and secondary networks possible.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	June 2020
First published:	2020
Authors:	Alireza Babaei • Prathima Agrawal • Bijan Jabbari
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	75
Edition:	1st ed. 2020
ISBN-13:	978-1-4614-2262-4
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > Radio technology
LSN:	1-4614-2262-0
Barcode:	9781461422624

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