Analysis of Blockage Effects on Urban Cellular Networks
The University of Texas at Austin · Tata Institute of Fundamental Research
Abstract
Large-scale blockages such as buildings affect the performance of urban cellular networks, especially at higher frequencies. Unfortunately, such blockage effects are either neglected or characterized by oversimplified models in the analysis of cellular networks. Leveraging concepts from random shape theory, this paper proposes a mathematical framework to model random blockages and analyze their impact on cellular network performance. Random buildings are modeled as a process of rectangles with random sizes and orientations whose centers form a Poisson point process on the plane. The distribution of the number of blockages in a link is proven to be a Poisson random variable with parameter dependent on the…
Citation impact
- FWCI
- 44.06
- Percentile
- 100%
- References
- 32
Authors
3Topics & keywords
- Poisson point process
- Coverage probability
- Cellular network
- Stochastic geometry
- Poisson distribution
- Point process
- Random variable
- Computer science
- Sustainable cities and communities