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More recently, the work [17] presents the spectral efficiency analysis for the proposed SFR scheme based on stochastic geometry.
Scenarios consisting of both indoor and outdoor environments have not received much attention in analytical studies based on stochastic geometry.
On the other hand, models based on stochastic geometry and spatial point processes provide a tractable and computationally efficient alternative for performance evaluation of HetNets [1 4].
We also develop an analytical framework based on stochastic geometry tools, a number of simplifying assumptions, and a small number of judiciously chosen approximations.
An analytical framework based on stochastic geometry and higher-order statistics through the cumulants concept which captures network dynamics and channel variations is introduced.
The broad acceptance of models based on stochastic geometry has diverted attention away from the still ongoing improvement of deterministic structures, with their most famous representative being the hexagonal grid model.
Similar(45)
NORMA is based on stochastic gradient descent.
Reliability analysis is based on stochastic discrete event models like stochastic Petri nets.
Our mechanism is based on stochastic datagram relocation.
The algorithm is developed based on stochastic finite-element method.
KF technique makes predictions based on stochastic and dynamic structures.
More suggestions(15)
based on analytic geometry
based on spherical geometry
based on stochastic decomposition
based on stochastic method
based on stochastic minimisation
based on simple geometry
based on differential geometry
based on stochastic model
based on pure geometry
based on stochastic optimization
based on facial geometry
based on continuous geometry
based on stochastic variation
based on stochastic game
based on stochastic uncertainty
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