14 citations · 40 across the 26 of their papers we have counts for
11 papers · 1 filter
Large Deviation Principle for Empirical SINR Measure of Critical Telecommunication Networks
Enoch Sakyi-Yeboah, Charles Kwofie, Kwabena Doku-Amponsah
For a \emph{ powered Poisson process}, we define \emph{Signal-to-Interference-plus-Noise Ratio}(SINR) and thesinr network as a Telecommunication Network. We define the Empirical Me…
Local Large Deviation Principle, Large Deviation Principle and Information theory for the Signal -to- Interference -Plus- Noise Ratio Graph Models
E. Sakyi-Yeboah, L. Asiedu, Kwabena Doku-Amponsah
Given devices space , an intensity measure , a transition kernel from the space to positive real numbers a path-loss function (which depend…
Local Large deviations for empirical locality measure of typed Random Graph Models
Kwabena Doku-Amponsah
In this article, we prove a local large deviation principle (LLDP) for the empirical locality measure of typed random networks on nodes conditioned to have a given \emph{ empir…
Local Large deviation: A McMillian Theorem for Coloured Random Graph Processes
Kwabena Doku-Amponsah
For a finite typed graph on nodes and with type law we define the so-called spectral potential of the graph.From the we obtain Kullb…
Local Large Deviations: McMillian Theorem for multitype Galton-Watson Processes
Kwabena Doku-Amponsah
In this article we prove a local large deviation principle (LLDP) for the critical multitype Galton-Watson process from spectral potential point. We define the so-called a spectral…
Lossy Asymptotic Equipartition Property For Geometric Networked Data Structures
Kwabena Doku-Amponsah
This article extends the Generalized Asypmtotic Equipartition Property of Networked Data Structures to cover the Wireless Sensor Network modelled as coloured geometric random graph…
Lossy Asymptotic Equipartition property for Networked Data Structures
K. Doku-Amponsah
In this article we prove a Generalized Asypmtotic Equipartition Property for Networked Data Structures modelled as coloured random graphs. The main techniques in this article remai…
Lossy Asymptotic Equipartition property for Hierarchical Data Structures
Kwabena Doku-Amponsah
This paper presents a rate-distortion theory for hierarchical networked data structures modelled as tree-indexed multitype process. To be specific, this paper gives a generalized A…
Large deviation, Basic Information Theory for Wireless Sensor Networks
Kwabena Doku-Amponsah
In this article, we prove Shannon-MacMillan-Breiman Theorem for Wireless Sensor Networks modelled as coloured geometric random graphs. For large we show that a Wireless Sensor…
Large deviations, Basic information theorem for fitness preferential attachment random networks
K. Doku-Amponsah, F. O. Mettle, T. Narh-Ansah
For fitness preferential attachment random networks, we define the empirical degree and pair measure, which counts the number of vertices of a given degree and the number of edges…
Asymptotic Equipartition Properties for simple hierarchical and networked structures
Kwabena Doku-Amponsah
We prove asymptotic equipartition properties for simple hierarchical structures (modelled as multitype Galton-Watson trees) and networked structures (modelled as randomly coloured…