81 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- African Institute for Mathematical Sciences GhanaGH4 papers
- University of the WitwatersrandZA3 papers
- African Institute for Mathematical SciencesZA2 papers
- Heriot-Watt UniversityGB2 papers
- Maxwell Institute for Mathematical SciencesGB2 papers
- National Institute for Theoretical PhysicsZA2 papers
- South China Normal UniversityCN2 papers
- Stanford UniversityUS2 papers
- University of California San DiegoUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of JohannesburgZA2 papers
- University of Southern CaliforniaUS2 papers
8 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 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…
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…
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…