Stochastic Geometry Analysis of Multi-Antenna Wireless Networks

• Main Authors: Yu, Xianghao (Author, http://id.loc.gov/vocabulary/relators/aut), Li, Chang (http://id.loc.gov/vocabulary/relators/aut), Zhang, Jun (http://id.loc.gov/vocabulary/relators/aut), Letaief, Khaled B. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Computer communication systems.; Electrical engineering.; Wireless communication systems.; Mobile communication systems.; Probabilities.; Signal processing.; Image processing.; Speech processing systems.; Computer Communication Networks.; Communications Engineering, Networks.; Wireless and Mobile Communication.; Probability Theory and Stochastic Processes.; Signal, Image and Speech Processing.
• Physical Description: XIV, 178 p. 37 illus., 16 illus. in color. online resource.
• ISBN: 9789811358807
• DOI: 10.1007/978-981-13-5880-7

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. .