activity
20102026
most citedSINR-based k-coverage probability in cellular networks with arbitrary shadowing

100 citations · 290 across the 14 of their papers we have counts for

collaborators

19 papers

cs.IT2026

Reflected wireless signals under random spatial sampling

H. Paul Keeler

We present a propagation model showing that a transmitter randomly positioned in space generates unbounded peaks in the histogram of the resulting power, provided the signal streng…

cs.NI2023

Connectivity and interference in device-to-device networks in Poisson-Voronoi cities

H. P. Keeler, B. Błaszczyszyn, E. Cali

To study the overall connectivity in device-to-device networks in cities, we incorporate a signal-to-interference-plus-noise connectivity model into a Poisson-Voronoi tessellation…

cs.NI2020★ 1 cited

Coverage probability in wireless networks with determinantal scheduling

Bartek Błaszczyszyn, Antoine Brochard, H. Paul Keeler

We propose a new class of algorithms for randomly scheduling network transmissions. The idea is to use (discrete) determinantal point processes (subsets) to randomly assign medium…

cs.LG2018★ 1 cited

Determinantal thinning of point processes with network learning applications

Bartłomiej Błaszczyszyn, Paul Keeler

A new type of dependent thinning for point processes in continuous space is proposed, which leverages the advantages of determinantal point processes defined on finite spaces and,…

cs.CR2018★ 57 cited

Block arrivals in the Bitcoin blockchain

R. Bowden, H. P. Keeler, A. E. Krzesinski +1

Bitcoin is a electronic payment system where payment transactions are verified and stored in a data structure called the blockchain. Bitcoin miners work individually to solve a com…

cs.NI2017

Disruptive events in high-density cellular networks

H. Paul Keeler, Benedikt Jahnel, Oliver Maye +2

Stochastic geometry models are used to study wireless networks, particularly cellular phone networks, but most of the research focuses on the typical user, often ignoring atypical…

cs.NI2016

Optimizing spatial throughput in device-to-device networks

Bartłomiej Błaszczyszyn, Paul Keeler, Paul Mühlethaler

Results are presented for optimizing device-to-device communications in cellular networks, while maintaining spectral efficiency of the base-station-to-device downlink channel. We…

cs.NI2016★ 31 cited

Gibbsian On-Line Distributed Content Caching Strategy for Cellular Networks

Arpan Chattopadhyay, Bartłomiej Błaszczyszyn, H. Paul Keeler

We develop Gibbs sampling based techniques for learning the optimal content placement in a cellular network. A collection of base stations are scattered on the space, each having a…

cs.CR2015★ 4 cited

Bitcoin Blockchain Dynamics: the Selfish-Mine Strategy in the Presence of Propagation Delay

Johannes Göbel, Paul Keeler, Anthony E. Krzesinski +1

In the context of the `selfish-mine' strategy proposed by Eyal and Sirer, we study the effect of propagation delay on the evolution of the Bitcoin blockchain. First, we use a simpl…

math.PR2014★ 24 cited

When do wireless network signals appear Poisson?

Holger Paul Keeler, Nathan Ross, Aihua Xia

We consider the point process of signal strengths from transmitters in a wireless network observed from a fixed position under models with general signal path loss and random propa…

cs.NI2014

Wireless networks appear Poissonian due to strong shadowing

Bartlomiej Blaszczyszyn, Mohamed Kadhem Karray, Holger Paul Keeler

Geographic locations of cellular base stations sometimes can be well fitted with spatial homogeneous Poisson point processes. In this paper we make a complementary observation: In…

math.PR2014★ 16 cited

SINR in wireless networks and the two-parameter Poisson-Dirichlet process

Holger Paul Keeler, Bartlomiej Blaszczyszyn

Stochastic geometry models of wireless networks based on Poisson point processes are increasingly being developed with a focus on studying various signal-to-interference-plus-noise…

physics.flu-dyn2014

Free surface flow due to a submerged source

Holger Paul Keeler

In this thesis we consider the free surface flow due to a submerged source in a channel of finite depth. This problem has been considered previously in the literature, with some di…

cs.NI2014

Studying the SINR process of the typical user in Poisson networks by using its factorial moment measures

Bartlomiej Blaszczyszyn, Holger Paul Keeler

Based on a stationary Poisson point process, a wireless network model with random propagation effects (shadowing and/or fading) is considered in order to examine the process formed…

cs.SI2013

Pioneers of Influence Propagation in Social Networks

Kumar Gaurav, Bartlomiej Blaszczyszyn, Holger Paul Keeler

With the growing importance of corporate viral marketing campaigns on online social networks, the interest in studies of influence propagation through networks is higher than ever.…

cs.NI2013★ 51 cited

Equivalence and comparison of heterogeneous cellular networks

Bartlomiej Blaszczyszyn, Holger Paul Keeler

We consider a general heterogeneous network in which, besides general propagation effects (shadowing and/or fading), individual base stations can have different emitting powers and…

cs.NI2013★ 100 cited

SINR-based k-coverage probability in cellular networks with arbitrary shadowing

Holger Paul Keeler, Bartlomiej Blaszczyszyn, Mohamed Kadhem Karray

We give numerically tractable, explicit integral expressions for the distribution of the signal-to-interference-and-noise-ratio (SINR) experienced by a typical user in the down-lin…

math.PR2012★ 5 cited

Using Poisson processes to model lattice cellular networks

Bartlomiej Blaszczyszyn, Mohamed Kadhem Karray, Holger Paul Keeler

An almost ubiquitous assumption made in the stochastic-analytic study of the quality of service in cellular networks is Poisson distribution of base stations. It is usually justifi…

math.PR2010

A stochastic analysis of greedy routing in a spatially dependent sensor network

H. Paul Keeler

For a sensor network, a tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stocha…