Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial

April 13, 2016 ยท The Cartographer ยท ๐Ÿ› IEEE Communications Surveys and Tutorials

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

"No code URL or promise found in abstract"
"Title-pattern auto-detect: Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial"

Evidence collected by the PWNC Scanner

Authors Hesham ElSawy, Ahmed Sultan-Salem, Mohamed-Slim Alouini, Moe Z. Win arXiv ID 1604.03689 Category cs.IT: Information Theory Citations 478 Venue IEEE Communications Surveys and Tutorials Last Checked 7 days ago
Abstract
This paper presents a tutorial on stochastic geometry (SG) based analysis for cellular networks. This tutorial is distinguished by its depth with respect to wireless communication details and its focus on cellular networks. The paper starts by modeling and analyzing the baseband interference in a basic cellular network model. Then, it characterizes signal-to-interference-plus-noise-ratio (SINR) and its related performance metrics. In particular, a unified approach to conduct error probability, outage probability, and rate analysis is presented. Although the main focus of the paper is on cellular networks, the presented unified approach applies for other types of wireless networks that impose interference protection around receivers. The paper then extends the baseline unified approach to capture cellular network characteristics (e.g., frequency reuse, multiple antenna, power control, etc.). It also presents numerical examples associated with demonstrations and discussions. Finally, we point out future research directions.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Information Theory