In this article, we prove that under stocastic geometry modeling, the coverage probability of cellular communications networks is independent of base station density, λ. This proof identifies a glitch in a huge number of research results, accumulated in the literature over the past decade, where this probability is mistakenly expressed as a function of λ
International audienceThe growing popularity of small cells is driving cellular networks of yesterda...
Empirical thesis.Bibliography: pages 55-59.1. Introduction -- 2. Stochastic geometry -- 3. Load-awar...
In this paper, we analyze and optimize the energy efficiency of downlink cellular networks. With the...
Recently, tools from stochastic geometry have gained much attention for modeling and analysis of den...
Abstract—The recent witnessed evolution of cellular networks from a carefully planned deployment to ...
The growing demand for network capacity due to mobile devices and data-hungry applications has promp...
International audienceThe coverage probability of cellular networks is usually defined as the probab...
International audienceIn this letter, we introduce new mathematical frameworks to the computation of...
Accurate modeling of network interference, deep understanding of its impact on the achievable perfor...
Abstract-Coverage probability is one of the most important metrics for evaluating the performance of...
This paper develops a tractable modeling and analysis framework for finite cellular wireless network...
International audienceCellular networks are usually modeled by placing the base stations on a grid, ...
Abstract—The cellular uplink has typically been studied using simple Wyner-type analytical models wh...
In this paper we provide an analytic framework for computing the expected downlink coverage probabil...
International audienceVideo streaming and mobile TV services have recently gained great research int...
International audienceThe growing popularity of small cells is driving cellular networks of yesterda...
Empirical thesis.Bibliography: pages 55-59.1. Introduction -- 2. Stochastic geometry -- 3. Load-awar...
In this paper, we analyze and optimize the energy efficiency of downlink cellular networks. With the...
Recently, tools from stochastic geometry have gained much attention for modeling and analysis of den...
Abstract—The recent witnessed evolution of cellular networks from a carefully planned deployment to ...
The growing demand for network capacity due to mobile devices and data-hungry applications has promp...
International audienceThe coverage probability of cellular networks is usually defined as the probab...
International audienceIn this letter, we introduce new mathematical frameworks to the computation of...
Accurate modeling of network interference, deep understanding of its impact on the achievable perfor...
Abstract-Coverage probability is one of the most important metrics for evaluating the performance of...
This paper develops a tractable modeling and analysis framework for finite cellular wireless network...
International audienceCellular networks are usually modeled by placing the base stations on a grid, ...
Abstract—The cellular uplink has typically been studied using simple Wyner-type analytical models wh...
In this paper we provide an analytic framework for computing the expected downlink coverage probabil...
International audienceVideo streaming and mobile TV services have recently gained great research int...
International audienceThe growing popularity of small cells is driving cellular networks of yesterda...
Empirical thesis.Bibliography: pages 55-59.1. Introduction -- 2. Stochastic geometry -- 3. Load-awar...
In this paper, we analyze and optimize the energy efficiency of downlink cellular networks. With the...