Elements of information theory
Elements of information theory
Computation of Shot-Noise Probability Distributions and Densities
SIAM Journal on Scientific Computing
Exact sampling with coupled Markov chains and applications to statistical mechanics
Proceedings of the seventh international conference on Random structures and algorithms
An overview of CDMA evolution toward wideband CDMA
IEEE Communications Surveys & Tutorials
The capacity of wireless networks
IEEE Transactions on Information Theory
Latency of wireless sensor networks with uncoordinated power saving mechanisms
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
A new service overlays dimensioning approach based on stochastic geometry
Performance Evaluation
A neural network-based approach for predicting connectivity in wireless networks
International Journal of Mobile Network Design and Innovation
Uplink capacity and interference avoidance for two-tier femtocell networks
IEEE Transactions on Wireless Communications
Improving roamer retention by exposing weak locations in GSM networks
Proceedings of the 5th international student workshop on Emerging networking experiments and technologies
Spectrum allocation in tiered cellular networks
IEEE Transactions on Communications
Coverage in multi-antenna two-tier networks
IEEE Transactions on Wireless Communications
Asymptotic properties of multi-hop wireless networks
Asymptotic properties of multi-hop wireless networks
Perfect sampling of Markov chains with piecewise homogeneous events
Performance Evaluation
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The aim of the present paper is to show that stochastic geometry provides an efficient computational framework allowing one to predict geometrical characteristics of large CDMA networks such as coverage or soft-handoff level. The general idea consists in representing the location of antennas and/or mobile stations as realizations of stochastic point processes in the plane within a simple parametric class, which takes into account the irregularities of antenna/mobile patterns in a statistical way. This approach leads to new formulas and simulation schemes allowing one to compute/estimate the spatial averages of these local characteristics in function of the model parameters (density of antennas or mobiles, law of emission power, fading law etc.) and to perform various parametric optimizations.