14 citations · 40 across the 26 of their papers we have counts for
12 papers · 1 filter
Large Large deviations for spatial telecommunication systems: The boolean model
A. K. Boahen, T. Katsekpor, K. Doku-Amponsah
Spatial telecommunication systems have evolved along the years, leading to some concerns that telecommunication companies are facing today. The main inquietude is the ability to pr…
Large Deviations and Information theory for Sub-Critical SINR Randon Network Models
E. Sakyi-Yeboah, P. S. Andam, L. Asiedu +1
The article obtains large deviation asymptotic for sub-critical communication networks modelled as signal-interference-noise-ratio(SINR) random networks. To achieve this, we define…
Large Deviations, Sharron-McMillan-Breiman Theorem for Super-Critical Telecommunication Networks
E. Sakyi-Yeboah, P. S. Andam, L. Asiedu +1
In this article we obtain large deviation asymptotics for supercritical communication networks modelled as signal-interference-noise ratio networks. To do this, we define the empir…
Large deviations, asymptotic bounds on the number of positive individuals in a Bernoulli sample via the number of positive pool samples drawn on the bernoulli sample
Kwabena Doku-Amponsah
In this paper we define for a Bernoulli samples the \emph{ empirical infection measure}, which counts the number of positives (infections) in the Bernoulli sample and for the \emph…
Large deviation principles for empirical measures of the multitype random networks
K. Doku-Amponsah
In this article we study the stochastic block model also known as the multi-type random networks (MRNs). For the stochastic block model or the MRNs we define the empirical group me…
Joint Large Deviation principle for empirical measures of the d-regular random graphs
U. Ibrahim, A. Lotsi, K. Doku-Amponsah
For a regular random model, we assign to vertices state spins. From this model, we define the \emph{empirical co-operate measure}, which enumerates the number of co-operati…
Joint large deviation result for empirical measures of the coloured random geometric graphs
Kwabena Doku-Amponsah
We prove joint large deviation principle for the \emph{ empirical pair measure} and \emph{empirical locality measure} of the \emph{near intermediate} coloured random geometric grap…
Large deviation principle for the empirical degree measure of preferential attachment random graphs
K. Doku-Amponsah, F. O. Mettle, E. N. N. Nortey
We consider preferential attachment random graphs which may be obtained as follows: It starts with a single node. If a new node appears, it is linked by an edge to one or more exis…
Some large deviation results for near intermediate random geometric graphs
Kwabena Doku-Amponsah
We find large deviation principles for the degree distribution and the proportion of isolated vertices for the near intermediate random geometric graph models on n vertices placed…
Exponential Approximation, Method of types for Empirical Neighbourhood Measures of Random graphs by Random Allocation
K. Doku-Amponsah
In this article we find exponential good approximation of the empirical neigbourhood distribution of symbolled random graphs conditioned to a given empirical symbol distribution an…
Large deviation results for Critical Multitype Galton-Watson trees
Kwabena Doku-Amponsah
In this article, we prove a joint large deviation principle in for the \emph{empirical pair measure} and \emph{ empirical offspring measure} of critical multitype Galton-Watson…
Large deviation principles for empirical measures of colored random graphs
Kwabena Doku-Amponsah, Peter Mörters
For any finite colored graph we define the empirical neighborhood measure, which counts the number of vertices of a given color connected to a given number of vertices of each colo…