Modeling and analysis of cellular networks using stochastic geometry: A tutorial
H ElSawy, A Sultan-Salem, MS Alouini… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
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 …
networks. This tutorial is distinguished by its depth with respect to wireless communication …
New trends in stochastic geometry for wireless networks: A tutorial and survey
Next-generation wireless networks are expected to be highly heterogeneous, multilayered,
with embedded intelligence at both the core and edge of the network. In such a context …
with embedded intelligence at both the core and edge of the network. In such a context …
Progress on the study of the Ginibre ensembles I: GinUE
SS Byun, PJ Forrester - arXiv preprint arXiv:2211.16223, 2022 - arxiv.org
The Ginibre unitary ensemble (GinUE) consists of $ N\times N $ random matrices with
independent complex standard Gaussian entries. This was introduced in 1965 by Ginbre …
independent complex standard Gaussian entries. This was introduced in 1965 by Ginbre …
The Ginibre point process as a model for wireless networks with repulsion
The spatial structure of transmitters in wireless networks plays a key role in evaluating
mutual interference and, hence, performance. Although the Poisson point process (PPP) has …
mutual interference and, hence, performance. Although the Poisson point process (PPP) has …
Average rate of downlink heterogeneous cellular networks over generalized fading channels: A stochastic geometry approach
M Di Renzo, A Guidotti… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In this paper, we introduce an analytical framework to compute the average rate of downlink
heterogeneous cellular networks. The framework leverages recent application of stochastic …
heterogeneous cellular networks. The framework leverages recent application of stochastic …
Determinantal point process models and statistical inference
Statistical models and methods for determinantal point processes (DPPs) seem largely
unexplored. We demonstrate that DPPs provide useful models for the description of spatial …
unexplored. We demonstrate that DPPs provide useful models for the description of spatial …
Stochastic geometry analysis of spatial-temporal performance in wireless networks: A tutorial
The performance of wireless networks is fundamentally limited by the aggregate
interference, which depends on the spatial distributions of the interferers, channel …
interference, which depends on the spatial distributions of the interferers, channel …
[图书][B] Stochastic geometry analysis of cellular networks
Achieve faster and more efficient network design and optimization with this comprehensive
guide. Some of the most prominent researchers in the field explain the very latest analytic …
guide. Some of the most prominent researchers in the field explain the very latest analytic …
Modeling and analyzing the coexistence of Wi-Fi and LTE in unlicensed spectrum
We leverage stochastic geometry to characterize key performance metrics for neighboring
Wi-Fi and LTE networks in unlicensed spectrum. Our analysis focuses on a single …
Wi-Fi and LTE networks in unlicensed spectrum. Our analysis focuses on a single …
Limit theorems for persistence diagrams
The persistent homology of a stationary point process on RN is studied in this paper. As a
generalization of continuum percolation theory, we study higher dimensional topological …
generalization of continuum percolation theory, we study higher dimensional topological …