Stochastic Geometry Analysis of Multi-Antenna Wireless Networks

Yu, Xianghao; Li, Chang; Zhang, Jun; Letaief, Khaled B.

This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry. This mathematical analysis is essential for assessing and understanding the performance of complicated multi-antenna networks, which are one of the foundations of 5G and beyond networks to meet the ever-increasing demands for network capacity. Describing the salient properties of the framework, which makes the analysis of multi-antenna networks comparable to that of their single-antenna counterparts, the book discusses effective design approaches that do not require complex system-level simulations. It also includes various application examples with different multi-antenna network models to illustrate the framework’s effectiveness.

Details

Published by: Springer

Publication Date: 2019-04-06

Format: Hardcover

ISBN-13: 9789811358791

DOI: 10.1007/978-981-13-5880-7

Dimensions: 235cm x155cm

Pages: 178