312 citations · 381 across the 17 of their papers we have counts for
18 papers
Federated Hyperdimensional Computing for Resource-Constrained Industrial IoT
Nikita Zeulin, Olga Galinina, Nageen Himayat +1
In the Industrial Internet of Things (IIoT) systems, edge devices often operate under strict constraints in memory, compute capability, and wireless bandwidth. These limitations ch…
Large-Margin Hyperdimensional Computing: A Learning-Theoretical Perspective
Nikita Zeulin, Olga Galinina, Ravikumar Balakrishnan +2
Overparameterized machine learning (ML) methods such as neural networks may be prohibitively resource intensive for devices with limited computational capabilities. Hyperdimensiona…
Rethinking Beam Management: Generalization Limits Under Hardware Heterogeneity
Nikita Zeulin, Olga Galinina, Ibrahim Kilinc +2
Hardware heterogeneity across diverse user devices poses new challenges for beam-based communication in 5G and beyond. This heterogeneity limits the applicability of machine learni…
Effects of Small-Scale User Mobility on Highly Directional XR Communications
Asad Ali, Olga Galinina, Jiri Hosek +1
The development of next-generation communication systems promises to enable extended reality (XR) applications, such as XR gaming with ultra-realistic content and human-grade senso…
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…
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…
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…
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…
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…
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…
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…
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-)…
Multi-Channel Random Access with Replications
Olga Galinina, Andrey Turlikov, Sergey Andreev +1
This paper considers a class of multi-channel random access algorithms, where contending devices may send multiple copies (replicas) of their messages to the central base station.…
Wirelessly Powered Urban Crowd Sensing over Wearables: Trading Energy for Data
Olga Galinina, Konstantin Mikhaylov, Kaibin Huang +2
In this article, we put forward the mobile crowd sensing paradigm based on ubiquitous wearable devices carried by human users. The key challenge for mass user involvement into pros…
Flexible Dual-Connectivity Spectrum Aggregation for Decoupled Uplink and Downlink Access in 5G Heterogeneous Systems
Maria A. Lema, Enric Pardo, Olga Galinina +2
Maintaining multiple wireless connections is a promising solution to boost capacity in fifth-generation (5G) networks, where user equipment is able to consume radio resources of se…
Demystifying Competition and Cooperation Dynamics of the Aerial mmWave Access Market
Olga Galinina, Leonardo Militano, Sergey Andreev +7
Cellular has always relied on static deployments for providing wireless access. However, even the emerging fifth-generation (5G) networks may face difficulty in supporting the incr…
On Feasibility of 5G-Grade Dedicated RF Charging Technology for Wireless-Powered Wearables
Olga Galinina, Hina Tabassum, Konstantin Mikhaylov +3
For decades, wireless energy transfer and harvesting remained of focused attention in the research community, but with limited practical applications. Recently, with the developmen…
Understanding the IoT Connectivity Landscape: A Contemporary M2M Radio Technology Roadmap
Sergey Andreev, Olga Galinina, Alexander Pyattaev +6
This article addresses the market-changing phenomenon of the Internet of Things (IoT), which relies on the underlying paradigm of machine-to-machine (M2M) communications to integra…