Хоров Евгений Михайлович
Московский институт электроники и математики им. А.Н. Тихонова
Профессиональные интересы
Должности
- Профессор — Московский институт электроники и математики им. А.Н. Тихонова, Кафедра информационной безопасности киберфизических систем
- Заведующий лабораторией — Московский институт электроники и математики им. А.Н. Тихонова, Научно-учебная лаборатория телекоммуникационных систем
Био
- · Начал работать в НИУ ВШЭ в 2017 году.
- · Научно-педагогический стаж: 17 лет.
Образование
- 2022 · Доктор наук: Московский физико-технический институт
- 2013 · Кандидат наук: специальность 05.12.13 «Системы, сети и устройства телекоммуникаций»
- 2010 · Магистратура: Московский физико-технический институт, специальность «Прикладные математика и физика», квалификация «Магистр прикладной математики и физики»
- 2008 · Бакалавриат: Московский физико-технический институт, специальность «Прикладная математика и физика», квалификация «Бакалавр прикладной математики и физики»
Опыт работы
- · 2017: наст. время: Заведующий лабораторией телекоммуникационных систем, Национальный исследовательский университет Высшая школа экономики
- · 2008: наст. время: Заведующий лабораторией беспроводных сетей (ранее: старший научный сотрудник, научный сотрудник, младший научный сотрудник), Институт проблем передачи информации им. А.А. Харкевича РАН
- · 2012: наст. время: Заместитель заведующего кафедрой, доцент (ранее: ассистент) Московский физико-технический институт
- · 2017: наст. время: доцент, Московский университет
- · 2016 – 2017: : Заместитель заведующего лабораторией Интернета вещей (ранее: cтарший научный сотрудник), Cколковский институт науки и технологий
Награды и поощрения
- · Благодарность НИУ ВШЭ (март 2024)
- · Надбавка за публикацию в журнале из Списка А (и приравненном к нему научном издании) (2025–2026, 2024–2025, 2023–2024)
- · Надбавка за публикацию в международном рецензируемом научном издании (2022–2023)
Гранты и проекты
- — · на соискание учёной степени кандидата наук
Конференции (2)
Показать все
- · 2022: 2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) (София). Доклад: Providing High Capacity for AR/VR traffic in 5G Systems with Multi-Connectivity
- · 2021: Infocom. Доклад: SDR-based Testbed for Real-time CQI Prediction for URLLC
Идентификаторы исследователя
- ORCID:
0000-0001-5541-4671 - ResearcherID:
AAF-2331-2019 - SPIN РИНЦ:
3767-1086 - Google Scholar: https://scholar.google.ru/citations?user=Nbk2qQcAAAAJ
- Scopus AuthorID:
34869950000
Публикации (153)
Approximation of the Effective Capacity for Multi-Server URLLC Systems With Batch Arrivals
2026 · ARTICLE · en
Modern communication networks shall support mission-critical and real-time applications that demand high data rates, low latency, and ultra-high reliability, which is known as Ultra-reliable Low-latency Communications (URLLC). In URLLC systems, the effective capacity, i.e., the maximum traffic rate at which latency and reliability constraints are satisfied, is a key metric for resource management. Its estimations are usually obtained from analytical tools, which, importantly, shall be accurate, generalizable, and easily computable to adapt to diverse and rapidly changing scenarios. However, existing analytical tools, often rooted in queueing theory, rely on unrealistic assumptions, neglect essential traffic features like batch arrivals or unique URLLC constraints, or incur high computational costs, limiting their practical use. To fill this gap, the paper proposes an approximation framework to estimate the delay violation probabilities and the effective capacity for general multi-server queues with batch arrivals (i.e., G^B/G/s). Rooted in queueing and stochastic process theories, the framework yields low-complexity, closed-form solutions suitable for online analysis, providing critical insights into the relationship between URLLC constraints and the effective capacity. Extensive simulations confirm the framework's accuracy across diverse URLLC-relevant settings. Finally, the paper illustrates its practical relevance in a modern cellular system with URLLC traffic.
WiZeCSi: Towards Wi-Fi-based Single-Link Zero-Effort Cross-Domain Gesture Recognition
2026 · ARTICLE · en
Currently, much effort is devoted to improving the accuracy of Wi-Fi sensing. Despite the typically high density of modern Wi-Fi deployments, in many scenarios, the number of access points under control is limited, which does not allow the simultaneous usage of multiple Wi-Fi links for sensing. To address this issue, the paper proposes a Wi-Fi-based Single-link Zero-effort Cross-domain gesture recognition approach called WiZeCSi. A key feature of WiZeCSi is multi-ratio augmentation and link mixing methods that maximize the single-link sensing ability, converting Channel State Information to Single-Link-Single-Ratio samples and expanding the dataset. In the evaluation with a popular Widar3 dataset, the WiZeCSi achieves state-of-the-art results with 98.3% in-domain accuracy and higher than 96.6% cross-domain accuracy in single-link sensing. The designed WiZeCSi approach also enables sensing with an arbitrary link combination and cross-link sensing to overcome the link switching and device relocation problems.
A tutorial on Wi-Fi 8: The journey to ultra high reliability
2025 · ARTICLE · en
Wi-Fi is evolving to support new areas such as extended reality, Industrial Internet of Things, and environments with numerous devices. Unlike previous generations that aimed to maximize peak and user-perceived throughput, Wi-Fi 8 (also known as IEEE 802.11bn Ultra High Reliability) intends to make Wi-Fi operation more reliable, i.e., to improve performance across the full range of scenarios, particularly in worst-case conditions. Specifically, 802.11bn is striving to increase throughput at various signal to interference and noise ratio levels, diminish the 95th percentile of latency, decrease packet losses, and reduce power consumption. To attain these ambitions, Wi-Fi 8 is going to introduce a series of groundbreaking mechanisms, including distributed-tone resource units, unequal modulations, prioritized and non-primary channel access, advanced roaming features, multi-AP coordination, and so on. We present the current status of Wi-Fi 8 development with an emphasis on the targets and enabling technologies. This tutorial also discusses open research directions that require the development of new intelligent methods and algorithms.
Experimental study of a User-Centric RIS in existing cellular systems
2025 · ARTICLE · en
Reconfigurable Intelligent Surfaces (RISs) are promising for increasing the capacity and coverage of cellular systems by adaptively changing the phase of the reflected signals based on the information about the channel between a Base Station (BS) and a Mobile Station (MS). According to a popular BS-centric approach, the BS controls the RIS via a BS-RIS connection. So, the RIS needs to be integrated into the operator’s infrastructure, which hampers its deployment in existing networks. This paper presents and experimentally evaluates a proof-of-concept of an alternative User-Centric approach, where the RIS is managed by Mobile Station(s). So, customers may install RISs in areas with weak signals in offices and homes by themselves, without involving the operator or upgrading the BS. This work presents a concept of the MS-RIS backhaul as well as beamforming codebook design that allows RIS to operate effectively in a sub-6 GHz cellular network. The experimental results show that this approach may double downlink and uplink throughput for cell-edge users in outdoor and outdoor-to-indoor scenarios in existing cellular deployments.
КОМПЕНСАЦИЯ ВЛИЯНИЯ КАПЕЛЬ ДОЖДЯ НА ПРОИЗВОДИТЕЛЬНОСТЬ БЕСПРОВОДНОЙ СИСТЕМЫ С РЕКОНФИГУРИРУЕМОЙ ИНТЕЛЛЕКТУАЛЬНОЙ ПОВЕРХНОСТЬЮ
2025 · ARTICLE · ru
Реконфигурируемая интеллектуальная поверхность (РИП) представляет собой одну из перспективных технологий для повышения пропускной способности и расширения покрытия существующих и будущих беспроводных сетей. Предполагается, что РИП будет активно применяться в сценариях вне помещений, где она будет подвержена влиянию погодных условий, таких как дождь. Дождь, в свою очередь, повлияет на амплитудно- и фазо-частотные характеристики элементарных ячеек (ЭЯ), из которых формируется РИП, что приводит к ухудшению производительности беспроводной системы с РИП в смысле отношения сигнал/шум (ОСШ) на приемнике. В статье исследуется влияние дождя различной интенсивности на ОСШ на приемнике беспроводной системы с РИП, работающей на частоте 4,8 ГГц. Кроме того, предлагается метод компенсации этого влияния с помощью утолщения диэлектрика и последующей корректировки размеров ЭЯ. Демонстрируется, что предлагаемый метод компенсации обеспечивает снижение потерь ОСШ на приемнике до 0,9 дБ в условиях дождя.
Towards Wi-Fi 9: Vision, Requirements, and Candidate Technologies
2025 в печати · ARTICLE · en
Wi-Fi standardization continues: IEEE 802.11bn (Wi-Fi 8) reached Draft 1.0 in August 2025 and is progressing through comment resolution. The wireless industry now stands at a pivotal crossroads as it begins to define Wi-Fi 9. This paper analyzes technical directions and candidate features for the post-802.11bn amendment, tentatively referred to as Wi-Fi 9. We synthesize contributions from device manufacturers, network operators, and research institutions presented to the IEEE 802.11 Wireless Next Generation Standing Committee in early 2026. The emerging consensus indicates that, rather than increasing the nominal data rates, the next generation will likely prioritize deterministic performance, reliability, and expanded application domains. The paper examines the market forces driving this transition, including AI workloads that invert traditional traffic asymmetry, industrial robotics that demand sub-millisecond latency, and immersive entertainment that requires the simultaneous satisfaction of throughput, latency, and reliability constraints. Then the paper analyzes candidate technologies spanning PHY and MAC layer transformations, coordination between multiple networks, and AI integration throughout the protocol stack. Implementation challenges, including backward compatibility tradeoffs and spectrum availability, are discussed. Finally, the paper outlines the anticipated standardization timeline targeting commercial deployment of Wi-Fi 9 in the 2030s.
Система распознавания жестов на основе сигналов беспроводных сетей
2024 · CHAPTER · ru
В данной работе разрабатывается и исследуется система распознавания жестов на основе сигналов Wi-Fi. Для повышения точности предложены методы расширения данных, учитывающие множество отношений комплексных коэффициентов затухания, и смешивания данных от разных пар приемо-передающих устройств. Результаты моделирования на широко используемом датасете Widar3 показали высокую точность разработанного подхода по сравнению с аналогами.
Enabling Industrial Internet of Things With Wi-Fi 6: An Automated Factory Case Study
2024 в печати · ARTICLE · en
Industrial Internet of Things applications require low and deterministic delays, which is a challenging target for emerging wireless communication technologies. While the upcoming Wi-Fi 7 and Wi-Fi 8, tailored for real-time and reliable communications, are under development, this article focuses on Wi-Fi 6 and explores its capabilities to support industrial applications. This article summarizes key lessons learned during an industrial project on factory automation with Wi-Fi 6, describes and advocates a solution that satisfies quality of service requirements in industrial scenarios. To generalize the designed scheme, this article proposes a framework that maximizes the capacity of the system under reliability and latency constraints. Through extensive simulations, this article shows that the proposed scheme more than doubles the network capacity compared with the default Wi-Fi 6 implementation in terms of the number of stations served with low and deterministic packet delivery delays.
ALPACA: An Asymmetric Loss Prediction Algorithm for Channel Adaptation Based on a Convolutional-Recurrent Neural Network in URLLC Systems
2024 · ARTICLE · en
A key feature of 5G systems is the Ultra-Reliable Low-Latency Communication (URLLC), which can be used for remote surgery, smart grids, industrial control, etc. URLLC requires millisecond-level delays and very high reliability, i.e., less than 10−5 packet loss probability. The ability to satisfy these very strict quality of service requirements depends on selecting the Modulation and Coding Schemes (MCS) for data transmissions. On the one hand, the selected MCS shall be robust enough to avoid multiple retransmissions within a small delay budget. On the other hand, the MCS shall be high-rate to reduce channel resource consumption and, thus, shall increase the system capacity for URLLC. The MCS selection problem is extremely challenging to capture the quickly varying wireless channel effects, e.g., in highly mobile scenarios, because the decision shall be made long before the actual transmission occurs. The paper proposes a novel MCS selection algorithm called ALPACA (Asymmetric Loss Prediction Algorithm for Channel Adaptation), which relies on a widely used class of convolutional-recurrent neural networks. However, in contrast to existing approaches, ALPACA explicitly considers the asymmetric error cost for channel prediction by utilizing quantile regression loss. Both real-life channel measurements and 3GPP channel models are used to evaluate the performance of ALPACA. Numerical results demonstrate the increase in the reliability and reduction in resource consumption compared with the existing MCS selection algorithms, which results in 40% growth of the network capacity.
Boosting XR Capacity With Multi-Band Multi-Connectivity in 5G Systems
2024 · ARTICLE · en
Emerging eXtended Reality (XR) applications impose strict requirements on throughput, delay, and reliability, which limits the capacity of 5G systems operating only in one band, i.e., either a sub-6-GHz band or a mmWave one. To address this problem, the letter considers a scenario with a mixture of XR and broadband traffic and explores how to boost the capacity for XR traffic with multi-band multi-connectivity, i.e., the joint usage of multiple frequency bands with advanced algorithms that select the best bands for operation and balance the traffic between them. Moreover, the letter evaluates when an increase in the number of connections can provide a value and shows that dual connectivity with advanced algorithms achieves almost the same capacity as triple-connectivity, while the latter significantly increases the user device complexity.
Курсы (3)
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Systems and Networks of Information Transfer · 3 раза
2025/2026, 2024/2025, 2023/2024 · Бакалавриат · Анг
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Проектный семинар
2022/2023 · Бакалавриат · рус
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Основы технологии Wi-Fi
2021/2022 · Магистратура · рус