activity
19952021
most citedFully Distributed Model Predictive Control of Connected Automated Vehicles in Intersections: Theory and Vehicle Experiments

43 citations · 112 across the 10 of their papers we have counts for

collaborators

12 papers

math.OC2021★ 43 cited

Fully Distributed Model Predictive Control of Connected Automated Vehicles in Intersections: Theory and Vehicle Experiments

Alexander Katriniok, Benedikt Rosarius, Petri Mähönen

We propose a fully distributed control system architecture, amenable to in-vehicle implementation, that aims to safely coordinate connected and automated vehicles (CAVs) at road in…

cs.NI2019

Should We Worry About Interference in Emerging Dense NGSO Satellite Constellations?

Christophe Braun, Andra M. Voicu, Ljiljana Simić +1

Many satellite operators are planning to deploy NGSO systems for broadband communication services in the Ku-, Ka-, and V-band, where some of them have already launched. Consequentl…

eess.SP2019

Urban Outdoor Measurement Study of Phased Antenna Array Impact on Millimeter-Wave Link Opportunities and Beam Misalignment

Lars Kuger, Aleksandar Ichkov, Petri Mähönen +1

Exploiting multi-antenna technologies for robust beamsteering to overcome the effects of blockage and beam misalignment is the key to providing seamless multi-Gbps connectivity in…

cs.NI2019

Node Centrality Metrics for Hotspots Analysis in Telecom Big Data

Emil Mededovic, Vaggelis G. Douros, Petri Mähönen

In this work, we are interested in the applications of big data in the telecommunication domain, analysing two weeks of datasets provided by Telecom Italia for Milan and Trento. Ou…

cs.NI2017

Risk-Informed Interference Assessment for Shared Spectrum Bands: A Wi-Fi/LTE Coexistence Case Study

Andra M. Voicu, Ljiljana Simić, J. Pierre de Vries +2

Interference evaluation is crucial when deciding whether and how wireless technologies should operate. In this paper we demonstrate the benefit of risk-informed interference assess…

cs.NI2016

LTE in Unlicensed Bands is neither Friend nor Foe to Wi-Fi

Ljiljana Simić, Andra M. Voicu, Petri Mähönen +2

Proponents of deploying LTE in the 5 GHz band for providing additional cellular network capacity have claimed that LTE would be a better neighbour to Wi-Fi in the unlicensed band,…

cs.NI2016★ 1 cited

Channel Selection Algorithm for Cognitive Radio Networks with Heavy-Tailed Idle Times

S. Senthilmurugan, Junaid Ansari, Petri Mähönen +2

We consider a multichannel Cognitive Radio Network (CRN), where secondary users sequentially sense channels for opportunistic spectrum access. In this scenario, the Channel Selecti…

cs.NI2016

On the Stability of a Full-Duplex Aloha Network

Andrea Munari, Francesco Rossetto, Petri Mähönen +1

This letter offers the first characterisation of the stability for full-duplex large size networks. Through stochastic geometry tools, key performance metrics like delay and maximu…

cs.NI2015★ 13 cited

A Stochastic Geometry Approach to Asynchronous Aloha Full-Duplex Networks

Andrea Munari, Petri Mähönen, Marina Petrova

In-band full-duplex is emerging as a promising solution to enhance throughput in wireless networks. Allowing nodes to simultaneously send and receive data over the same bandwidth c…

cs.IT2010★ 1 cited

The Value of Staying Current when Beamforming

Yiyue Wu, Andreas Achtzehn, Marina Petrova +2

Beamforming is a widely used method of provisioning high quality wireless channels that leads to high data rates and simple decoding structures. It requires feedback of Channel Sta…

astro-ph1995★ 13 cited

Large scale clustering from Non-Gaussian texture models

E. Gaztanaga, P. Mahonen

A basic ingredient to understand large scale fluctuations in our present day Universe is the initial conditions. Using N-body simulations, we compare the clustering that arises fro…

astro-ph1995★ 41 cited

Automated Source Classification using a Kohonen Network

Petri Mahonen, Pasi Hakala

We report progress in the development of automatic star/galaxy classifier for processing images generated by large galaxy surveys like APM. Our classification method is based on ne…