activity
20152023
most citedUnderstanding the IoT Connectivity Landscape: A Contemporary M2M Radio Technology Roadmap

312 citations · 508 across the 33 of their papers we have counts for

collaborators

37 papers

cs.LG2023★ 1 cited

Resource-Efficient Federated Hyperdimensional Computing

Nikita Zeulin, Olga Galinina, Nageen Himayat +1

In conventional federated hyperdimensional computing (HDC), training larger models usually results in higher predictive performance but also requires more computational, communicat…

cs.LG2023★ 1 cited

Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks

Aleksei Ponomarenko-Timofeev, Olga Galinina, Ravikumar Balakrishnan +3

Federated systems enable collaborative training on highly heterogeneous data through model personalization, which can be facilitated by employing multi-task learning algorithms. Ho…

cs.NI2022

Integrated Access and Backhaul in Millimeter-Wave Cellular: Benefits and Challenges

Yekaterina Sadovaya, Dmitri Moltchanov, Wei Mao +5

The recently proposed NR-ready integrated access and backhaul (IAB) architecture promises to bring a cost-efficient deployment solution for both coverage extension and capacity boo…

cs.NI2022★ 3 cited

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking

Salwa Saafi, Olga Vikhrova, Gábor Fodor +2

The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices i…

cs.LG2021★ 2 cited

Dynamic Network-Assisted D2D-Aided Coded Distributed Learning

Nikita Zeulin, Olga Galinina, Nageen Himayat +2

Today, various machine learning (ML) applications offer continuous data processing and real-time data analytics at the edge of a wireless network. Distributed real-time ML solution…

eess.SP2021

Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Beamspace MIMO

Hosein Zarini, Mohammad Robat Mili, Mehdi Rasti +2

In this paper, we propose an intelligent analog beam selection strategy in a terahertz (THz) band beamspace multiple-input multiple-output (MIMO) system. First inspired by transfer…

cs.NI2021

System-Level Dynamics of Highly Directional Distributed Networks

Asad Ali, Olga Galinina, Sergey Andreev

While highly directional communications may offer considerable improvements in the link data rate and over-the-air latency of high-end wearable devices, the system-level capacity t…

eess.SP2020★ 12 cited

Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications

Dick Carrillo, Konstantin Mikhaylov, Pedro J. Nardelli +2

Despite the immense progress in the recent years, efficient solutions for monitoring remote areas are still missing today. This is especially notable in the context of versatile ma…

cs.NI2020

Hover or Perch: Comparing Capacity of Airborne and Landed Millimeter-Wave UAV Cells

Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov +2

On-demand deployments of millimeter-wave (mmWave) access points (APs) carried by unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance the perform…

cs.NI2020

Handling Spontaneous Traffic Variations in 5G+ via Offloading onto mmWave-Capable UAV `Bridges'

Nikita Tafintsev, Dmitri Moltchanov, Sergey Andreev +4

Unmanned aerial vehicles (UAVs) are increasingly employed for numerous public and civil applications, such as goods delivery, medicine, surveillance, and telecommunications. For th…

cs.NI2020

UAV-Aided Interference Assessment for Private 5G NR Deployments: Challenges and Solutions

Jani Urama, Richard Wiren, Olga Galinina +9

Industrial automation has created a high demand for private 5G networks, the deployment of which calls for an efficient and reliable solution to ensure strict compliance with the r…

math.OC2020

aColor: Mechatronics, Machine Learning, and Communications in an Unmanned Surface Vehicle

Jose Villa, Jussi Taipalmaa, Mikhail Gerasimenko +13

The aim of this work is to offer an overview of the research questions, solutions, and challenges faced by the project aColor ("Autonomous and Collaborative Offshore Robotics"). Th…

cs.NI2019

Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization

Nikita Tafintsev, Dmitri Moltchanov, Mikhail Gerasimenko +7

The use of unmanned aerial vehicle (UAV)-based communication in millimeter-wave (mmWave) frequencies to provide on-demand radio access is a promising approach to improve capacity a…

cs.NI2019

Analysis of Intelligent Vehicular Relaying in Urban 5G+ Millimeter-Wave Cellular Deployments

Vitaly Petrov, Dmitri Moltchanov, Sergey Andreev +1

The capability of smarter networked devices to dynamically select appropriate radio connectivity options is especially important in the emerging millimeter-wave (mmWave) systems to…

cs.NI2019★ 3 cited

Path Loss Characterization for Intra-Vehicle Wearable Deployments at 60 GHz

Vasilii Semkin, Aleksei Ponomarenko-Timofeev, Aki Karttunen +3

In this work, we present the results of a wideband measurement campaign at 60 GHz conducted inside a Linkker electric city bus. Targeting prospective millimeter-wave (mmWave) publi…

cs.NI2019

On Unified Vehicular Communications and Radar Sensing in Millimeter-Wave and Low Terahertz Bands

Vitaly Petrov, Gabor Fodor, Joonas Kokkoniemi +6

Future smart vehicles will incorporate high-data-rate communications and high-resolution radar sensing capabilities operating in the millimeter-wave and higher frequencies. These t…

cs.NI2019★ 2 cited

Challenges of Multi-Factor Authentication for Securing Advanced IoT (A-IoT) Applications

Aleksandr Ometov, Vitaly Petrov, Sergey Bezzateev +3

The unprecedented proliferation of smart devices together with novel communication, computing, and control technologies have paved the way for the Advanced Internet of Things~(A-Io…

cs.NI2018★ 3 cited

A Concise Review of 5G New Radio Capabilities for Directional Access at mmWave Frequencies

Giulia Sanfilippo, Olga Galinina, Sergey Andreev +2

In this work, we briefly outline the core 5G air interface improvements introduced by the latest New Radio (NR) specifications, as well as elaborate on the unique features of initi…

cs.NI2018

Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities

Sergey Andreev, Vitaly Petrov, Kaibin Huang +2

As the ratification of 5G New Radio technology is being completed, enabling network architectures are expected to undertake a matching effort. Conventional cloud and edge computing…

cs.IT2018★ 2 cited

Empirical Effects of Dynamic Human-Body Blockage in 60 GHz Communications

Christopher Slezak, Vasilii Semkin, Sergey Andreev +2

The millimeter wave (mmWave) bands and other high frequencies above 6~GHz have emerged as a central component of Fifth-Generation (5G) cellular standards to deliver high data rates…

eess.SP2018

Benefits of Positioning-Aided Communication Technology in High-Frequency Industrial IoT

Mike Koivisto, Olga Galinina, Sergey Andreev +6

The future of industrial applications is shaped by intelligent moving IoT devices, such as flying drones, advanced factory robots, and connected vehicles, which may operate (semi-)…

cs.NI2018

Breaking the Limits in Urban Video Monitoring: Massive Crowd Sourced Surveillance over Vehicles

Vitaly Petrov, Sergey Andreev, Mario Gerla +1

Contemporary urban environments are in prompt need of means for intelligent decision-making, where a crucial role belongs to smart video surveillance systems. While existing deploy…

cs.NI2018

Caching-Aided Collaborative D2D Operation for Predictive Data Dissemination in Industrial IoT

Antonino Orsino, Roman Kovalchukov, Andrey Samuylov +4

Industrial automation deployments constitute challenging environments where moving IoT machines may produce high-definition video and other heavy sensor data during surveying and i…

cs.IT2017

Optimizing Wirelessly Powered Crowd Sensing: Trading energy for data

Xiaoyang Li, Changsheng You, Sergey Andreev +2

To overcome the limited coverage in traditional wireless sensor networks, \emph{mobile crowd sensing} (MCS) has emerged as a new sensing paradigm. To achieve longer battery lives o…