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Кучерявый Евгений Андреевич

Научно-исследовательский институт телекоммуникаций

Профиль на hse.ru ↗ тел.: +7 (495) 772-95-90 | 55136
Публикаций
82
Языков
1
Наград
5
Конференций
0
Профиль Публикации (82) Курсы (4)

Профессиональные интересы

Беспроводные сети 5/6GЦифровые двойники систем и сетей связиAI/ML в телекомемоделирование сетей связиультрамалые задержки URLLCWiFi

Должности

  • Директор — Научно-исследовательский институт телекоммуникаций
  • Профессор — Московский институт электроники и математики им. А.Н. Тихонова, Департамент электронной инженерии
  • Главный научный сотрудник — Московский институт электроники и математики им. А.Н. Тихонова, Департамент электронной инженерии
  • Академический руководитель образовательной программы — Технологии искусственного интеллекта в телекоммуникациях
  • Руководитель программы повышения квалификации — Стандарты 5G/5G. Продвинутый уровень

Био

  • · Начал работать в НИУ ВШЭ в 2014 году.
  • · Научно-педагогический стаж: 35 лет.

Образование

  • 2018 · Доктор наук: Московский технический университет связи и информатики, тема диссертации: "Разработка и исследование комплекса моделей и методов распределения ресурсов в беспроводных гетерогенных сетях связи"
  • 2005 · PhD: Технологический университет Тампере
  • 1999 · Кандидат наук: тема диссертации: Исследование вероятностно-временных характеристик механизмов управления мультимедийной нагрузкой в сетях АТМ
  • 1997 · Специалитет: Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича, специальность «Программное обеспечение вычислительной техники и автоматизированных систем», квалификация «Инженер»

Награды и поощрения

  • · Почетная грамота НИУ ВШЭ (сентябрь 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, 2021–2022)
  • · Надбавка за статью в зарубежном рецензируемом журнале (2015–2017)
  • · Лучший преподаватель — 2018

Гранты и проекты

  • — · на соискание учёной степени кандидата наук

Идентификаторы исследователя

Публикации (82)

Cellular Traffic Offloading onto Network-Assisted Device-to-Device Connections

2014 · ARTICLE · en

While operators have finally started to deploy fourth generation broadband technology, many believe it will still be insufficient to meet the anticipated demand in mobile traffic over the coming years. Generally, the natural way to cope with traffic acceleration is to reduce cell size, and this can be done in many ways. The most obvious method is via picocells, but this requires additional CAPEX and OPEX investment to install and manage these new base stations. Another approach, which avoids this additional CAPEX/OPEX, involves offloading cellular traffic onto direct D2D connections whenever the users involved are in proximity. Given that most client devices are capable of establishing concurrent cellular and WiFi connections today, we expect the majority of immediate gains from this approach to come from the use of the unlicensed bands. However, despite its huge commercial success, WiFi-based direct connectivity may suffer from stringent session continuity limitations, excessive user contention, and cumbersome manual setup/security procedures. In this article, we detail our vision of integrating managed D2D communications into current cellular technology to overcome the limitations of WiFi. We also quantify the estimated network performance gains from offloading cellular traffic onto D2D connections. Our analysis is based on an advanced system-level simulation toolkit that captures the relevant details of the network environment, and a detailed characterization of dynamic D2D communications based on stochastic geometry. We conclude that D2D communications provide a significant boost to network capacity as well as user energy efficiency and quality of service perception.

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Exploiting bacterial properties for multi-hop nanonetworks

2014 · ARTICLE · en

Molecular communication is a relatively new communication paradigm for nanomachines where the communication is realized by utilizing existing biological components found in nature. In recent years researchers have proposed using bacteria to realize molecular communication because the bacteria have the ability to swim and migrate between locations, carry DNA contents (i.e. plasmids) that could be utilized for information storage, and interact and transfer plasmids to other bacteria (one of these processes is known as bacterial conjugation). However, current proposals for bacterial nanonetworks have not considered the internal structures of the nanomachines that can facilitate the use of bacteria as an information carrier. This article presents the types and functionalities of nanomachines that can be utilized in bacterial nanonetworks. A particular focus is placed on the bacterial conjugation and its support for multihop communication between nanomachines. Simulations of the communication process have also been evaluated, to analyze the quantity of bits received as well as the delay performances. Wet lab experiments have also been conducted to validate the bacterial conjugation process. The article also discusses potential applications of bacterial nanonetworks for cancer monitoring and therapy.

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Intelligent access network selection in converged multi-radio heterogeneous networks

2014 · ARTICLE · en

Heterogeneous multi-radio networks are emerging network architectures that comprise hierarchical deployments of increasingly smaller cells. In these deployments, each user device may employ multiple radio access technologies to communicate with network infrastructure. With the growing numbers of such multi-radio consumer devices, mobile network operators seek to leverage spectrum across diverse radio technologies, thus boosting capacity and enhancing quality of service. In this article, we review major challenges in delivering uniform connectivity and service experience to converged multiradio heterogeneous deployments. We envision that multiple radios and associated device/infrastructure intelligence for their efficient use will become a fundamental characteristic of future 5G technologies, where the distributed unlicensed-band network (e.g., WiFi) may take advantage of the centralized control function residing in the cellular network (e.g., 3GPP LTE). Illustrating several available architectural choices for integrating WiFi and LTE networks, we specifically focus on interworking within the radio access network and detail feasible options for intelligent access network selection. Both network- and user-centric approaches are considered, wherein the control rests with the network or the user. In particular, our system-level simulation results indicate that load-aware usercentric schemes, which augment SNR measurements with additional information about network loading, could improve the performance of conventional WiFi-preferred solutions based on minimum SNR threshold. Comparison with more advanced network-controlled schemes has also been completed to confirm attractive practical benefits of distributed user-centric algorithms. Building on extensive system-wide simulation data, we also propose novel analytical space-time methodology for assisted network selection capturing user traffic dynamics together with spatial randomness of multi-radio heterogeneous networks.

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Transmission Protocols for Calcium-Signaling-Based Molecular Communications in Deformable Cellular Tissue

2014 · ARTICLE · en

Molecular communications is a new paradigm that enables nanomachines to communicate within a biological environment. One form of molecular communications is calcium (Ca2+ ) signaling, which occurs naturally in living biological cells. Ca2+ signaling enables cells in a tightly packed tissue structure to communicate at short ranges with neighboring cells. The achievable mutual information of Ca2+ signaling between tissue embedded nanomachines is investigated in this paper, focusing in particular on the impact that the deformation of the tissue structure has on the communication channel. Based on this analysis, a number of transmission protocols are proposed; nanomachines can utilize these to communicate using Ca2+ signaling. These protocols are static time-slot configuration, dynamic time-slot configuration, dynamic time-slot configuration with silent communication, and improved dynamic time-slot configuration with silent communication (IDTC-SC). The results of a simulation study show that IDTC-SC provides the maximum data rate when tissues experience frequent deformation.

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Optimizing Energy Efficiency of a Multi-Radio Mobile Device in Heterogeneous Beyond-4G Networks

2014 · ARTICLE · en

In this paper, we address the operation of a multi-radio mobile device in heterogeneous wireless deployments. We assume that such a device may efficiently control its radio interfaces when using the available radio access technologies. In particular, we investigate the potential of flexible transmit power allocation and develop a provably optimal power control scheme that strictly maximizes the energy efficiency of the mobile device, while at the same time satisfies the minimum required level of the user data rate. When compared against simpler (heuristic) power control strategies, our solution always demonstrates the best energy efficiency of the multi-radio device by enabling collaborative operation between several radio technologies, which makes it a useful benchmark for the future integrated beyond-4G wireless networks.

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Cross-Layer Modeling of Wireless Channels: An Overview of Basic Principles

2014 · ARTICLE · en

To optimize performance of applications running over wireless channels, state-of-the-art technologies incorporate a number of channel adaptation mechanisms at different layers of the protocol stack. These mechanisms affect the way communication is performed and their joint effect is often difficult to predict. Recently, to evaluate joint operation of these mechanisms, a number of cross-layer performance models have been proposed. These models abstract functionality of layers providing channel adaptation and characterize performance of information transmission at higher layers, where it is usually standardized. While cross-layer performance models differ in some details, most of them are similar in the way they approach the problem. In this paper we identify similarities between these models, formulate step-by-step cross-layer modeling procedure and discuss its basic components.

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Capacity and Throughput Analysis of Nanoscale Machine Communication through Transparency Windows in the Terahertz Band

2014 · ARTICLE · en

The expectedly very limited communication distance of nanoscale machines in the Terahertz Band (0.1–10 THz) is one of the main factors narrowing the scope of the nanonetworking applications. In this paper, the use of the transparency windows in the THz Band, which provide molecular-absorption-free transmission, is proposed as a way to extend the communication distance of nanomachines. The trade-offs between the signal-to-noise (SNR) ratio, channel capacity, transmission bandwidth and communication distance for these windows are identified. The results suggest that, by focusing on the first transparency window (0.1–0.54 THz), reliable communication up to 10 m is feasible when using just 0.1 aJ per symbol to achieve a capacity of up to 10 Mbps. For the same energy per symbol, when using the entire THz Band, the capacity is up to 2 Tbps, but only for distances below a few centimeters. Motivated by these results, the achievable link throughput of a simple binary digital modulation scheme based on the transmission of width-adaptive pulses is investigated. The results show that, due to the relaxation time of molecular absorption noise, additional pauses between pulse transmissions are required, but reliable communication is possible even for very small SNR values. These results extend the application scope of nanonetworks and illustrate that they are not limited to small coverage areas but can also be used to carry traffic generated by both low-rate transactional and bandwidth-greedy applications at small-to-medium distances.

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M/D^{[y]}/1 Periodically Gated Vacation Model and Its Application to IEEE 802.16 Network

2014 · ARTICLE · en

In this paper we consider the analysis of an M/D[y] /1 vacation queue with periodically gated discipline. The motivation of introducing the new periodically gated discipline lies in modeling a kind of contention-based bandwidth reservation mechanism applied in wireless networks. The analysis approach applied here consists of two steps and it is based on appropriately chosen characteristic epochs of the system. We provide approximate expressions for the probability-generating function of the number of customers at arbitrary epoch as well as for the Laplace–Stieljes transform and for the mean of the steady-state waiting time. Several numerical examples are also provided. In the second part of the paper we discuss how to apply the periodically gated vacation model to the non real-time uplink traffic in IEEE 802.16-based wireless broadband networks.

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Forward and Reverse Coding for Chromosome Transfer in Bacterial Nanonetworks

2014 · ARTICLE · en

Bacteria has been proposed in recent years as one approach to achieve molecular communication. Bacterial cells can harbour DNA encoded information and can deliver this information from one nanomachine to another by swimming (motility). One aspect of bacterial communication that could further enhance the performance of information delivery in bacterial nanonetworks is conjugation. Conjugation involves forming a physical connection between the bacteria in order to transfer DNA molecules (i.e., plasmids or chromosomes). However, the fragile physical connection between the bacteria is prone to breakage, in particular under mechanical stress. In this paper, a simple Forward and Reverse coding process is proposed to enhance the performance of information delivery in bacterial nanonetworks. The coding process involves segmenting messages into blocks and integrating this into the bacterial chromosome. Simulation work have been conducted to validate the efficiency of the coding process, where the results have shown positive performance compared to approaches that do not utilize coding or pure conjugation.

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A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication

2014 · ARTICLE · en

Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuron-based molecular communication, which utilizes natural neurons as a primary component to build BANNs, and proposes an end-to-end software architecture to manage and control neuron-based BANNs through a series of software services. Those services aid to realize end user applications in healthcare, such as biomedical and rehabilitation applications. In the proposed architecture, a neuron-based BANN consists of a set of nanomachines and a network of neurons that are artificially formed into a particular topology. This paper investigates two mechanisms in the proposed architecture: (1) an artificial assembly method to form neurons into specific three-dimensional topology patterns and (2) a communication protocol for neuronal signaling based on Time Division Multiple Access (TDMA), called Neuronal TDMA. The assembly method uses silica beads as growth surface and bead-bead contacts as geometrical constraints on neuronal connectivity. A web lab experiment verifies this method with neuronal hippocampal cells. Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) to optimize the signaling schedules for nanomachines. Simulation results demonstrate that the Neuronal TDMA efficiently obtains quality solutions.

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Курсы (4)