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Millimeter-Wave Channel Estimation with True-Time-Delay Arrays and Its Use for Network Performance Optimization

Author : Veljko Boljanovic
Publisher :
Page : 0 pages
File Size : 10,61 MB
Release : 2022
Category :
ISBN :

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Millimeter-wave frequencies offer abundant spectrum and high data rates, but their use comes at the cost of a severe propagation loss. The loss can be alleviated by establishing directional communication links with high beamforming gains between the base stations and users and by using dense network deployments. Beam training is a procedure that reveals the best beam steering directions in a wireless channel. When performed with conventional phased arrays that have many antenna elements, beam training imposes a large overhead. In this work, we introduce true-time-delay array architectures as promising alternatives for phased arrays to solve the overhead problem. Compared to phased arrays, true-time-delay arrays can synthesize frequency-dependent beams and thus probe all angular directions simultaneously using different signal frequencies. We leverage this property to develop and analyze low-complexity digital signal processing algorithms for fast and accurate millimeter-wave beam training. Unlike beam training, channel estimation has the goal to estimate all parameters of a sparse millimeter-wave channel. We exploit the channel sparsity and frequency-dependent beams of true-time-delay arrays to develop a frequency-domain compressive sensing based algorithm for channel estimation. We also analyze the performance of the developed algorithm in the presence of practical hardware impairments and we derive the lower bounds on the variances of channel parameter estimators. In dense millimeter-wave networks with a small inter-site distance and a large number of users, directional beams can cause significant interference and prevent data-hungry users from satisfying their rate requirements. The user experience and the overall network performance can be optimized through coordinated user association and beam scheduling on a network level. Given the channel estimates between different pairs of base stations and users, we develop and analyze a new multi-step optimization framework for joint user association and beam scheduling. The main goal of the framework is to maximize the number of users with satisfied rate requirements while simultaneously suppressing the inter- and intra-cell interference. Since the framework includes NP-hard optimization problems, we propose an algorithm that attains a sub-optimal solution in polynomial-time.

Beam Alignment for Millimeter Wave Vehicular Communications

Author : Vutha Va
Publisher :
Page : 400 pages
File Size : 31,82 MB
Release : 2018
Category :
ISBN :

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Millimeter wave (mmWave) has the potential to provide vehicles with high data rate communications that will enable a whole new range of applications. Its use, however, is not straightforward due to its challenging propagation characteristics. One approach to overcome the propagation challenge is the use of directional beams, but it requires a proper alignment and presents a challenging engineering problem, especially under the high vehicular mobility. In this dissertation, fast and efficient beam alignment solutions suitable for vehicular applications are developed. To better quantify the problem, first the impact of directional beams on the temporal variation of the channels is investigated theoretically. The proposed model includes both the Doppler effect and the pointing error due to mobility. The channel coherence time is derived, and a new concept called the beam coherence time is proposed for capturing the overhead of mmWave beam alignment. Next, an efficient learning-based beam alignment framework is proposed. The core of this framework is the beam pair selection methods that use side information (position in this case) and past beam measurements to identify promising beam directions and eliminate unnecessary beam training. Three offline learning methods for beam pair selection are proposed: two statistics-based and one machine learning-based methods. The two statistical learning methods consist of a heuristic and an optimal selection that minimizes the misalignment probability. The third one uses a learning-to-rank approach from the recommender system literature. The proposed approach shows an order of magnitude lower overhead than existing standard (IEEE 802.11ad) enabling it to support large arrays at high speed. Finally, an online version of the optimal statistical learning method is developed. The solution is based on the upper confidence bound algorithm with a newly introduced risk-aware feature that helps avoid severe misalignment during the learning. Along with the online beam pair selection, an online beam pair refinement is also proposed for learning to adapt the codebook to the environment to further maximize the beamforming gain. The combined solution shows a fast learning behavior that can quickly achieve positive gain over the exhaustive search on the original (and unrefined) codebook. The results show that side information can help reduce mmWave link configuration overhead.

mmWave Massive MIMO

Author : Shahid Mumtaz
Publisher : Academic Press
Page : 374 pages
File Size : 24,54 MB
Release : 2016-12-02
Category : Technology & Engineering
ISBN : 0128044780

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mmWave Massive MIMO: A Paradigm for 5G is the first book of its kind to hinge together related discussions on mmWave and Massive MIMO under the umbrella of 5G networks. New networking scenarios are identified, along with fundamental design requirements for mmWave Massive MIMO networks from an architectural and practical perspective. Working towards final deployment, this book updates the research community on the current mmWave Massive MIMO roadmap, taking into account the future emerging technologies emanating from 3GPP/IEEE. The book's editors draw on their vast experience in international research on the forefront of the mmWave Massive MIMO research arena and standardization. This book aims to talk openly about the topic, and will serve as a useful reference not only for postgraduates students to learn more on this evolving field, but also as inspiration for mobile communication researchers who want to make further innovative strides in the field to mark their legacy in the 5G arena. Contains tutorials on the basics of mmWave and Massive MIMO Identifies new 5G networking scenarios, along with design requirements from an architectural and practical perspective Details the latest updates on the evolution of the mmWave Massive MIMO roadmap, considering future emerging technologies emanating from 3GPP/IEEE Includes contributions from leading experts in the field in modeling and prototype design for mmWave Massive MIMO design Presents an ideal reference that not only helps postgraduate students learn more in this evolving field, but also inspires mobile communication researchers towards further innovation

Millimeter-Wave Antennas: Configurations and Applications

Author : Jaco du Preez
Publisher : Springer
Page : 165 pages
File Size : 38,43 MB
Release : 2016-06-20
Category : Technology & Engineering
ISBN : 3319350684

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This book comprehensively reviews the state of the art in millimeter-wave antennas, traces important recent developments and provides information on a wide range of antenna configurations and applications. While fundamental theoretical aspects are discussed whenever necessary, the book primarily focuses on design principles and concepts, manufacture, measurement techniques, and practical results. Each of the various antenna types scalable to millimeter-wave dimensions is considered individually, with coverage of leaky-wave and surface-wave antennas, printed antennas, integrated antennas, and reflector and lens systems. The final two chapters address the subject from a systems perspective, providing an overview of supporting circuitry and examining in detail diverse millimeter-wave applications, including high-speed wireless communications, radio astronomy, and radar. The vast amount of information now available on millimeter-wave systems can be daunting for researchers and designers entering the field. This book offers readers essential guidance, helping them to gain a thorough understanding based on the most recent research findings and serving as a sound basis for informed decision-making.

Millimeter Wave Wireless Communications

Author : Theodore S. Rappaport
Publisher : Pearson Education
Page : 705 pages
File Size : 49,55 MB
Release : 2015
Category : Computers
ISBN : 0132172283

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The Definitive, Comprehensive Guide to Cutting-Edge Millimeter Wave Wireless Design “This is a great book on mmWave systems that covers many aspects of the technology targeted for beginners all the way to the advanced users. The authors are some of the most credible scholars I know of who are well respected by the industry. I highly recommend studying this book in detail.” —Ali Sadri, Ph.D., Sr. Director, Intel Corporation, MCG mmWave Standards and Advanced Technologies Millimeter wave (mmWave) is today's breakthrough frontier for emerging wireless mobile cellular networks, wireless local area networks, personal area networks, and vehicular communications. In the near future, mmWave products, systems, theories, and devices will come together to deliver mobile data rates thousands of times faster than today's existing cellular and WiFi networks. In Millimeter Wave Wireless Communications, four of the field's pioneers draw on their immense experience as researchers, entrepreneurs, inventors, and consultants, empowering engineers at all levels to succeed with mmWave. They deliver exceptionally clear and useful guidance for newcomers, as well as the first complete desk reference for design experts. The authors explain mmWave signal propagation, mmWave circuit design, antenna designs, communication theory, and current standards (including IEEE 802.15.3c, Wireless HD, and ECMA/WiMedia). They cover comprehensive mmWave wireless design issues, for 60 GHz and other mmWave bands, from channel to antenna to receiver, introducing emerging design techniques that will be invaluable for research engineers in both industry and academia. Topics include Fundamentals: communication theory, channel propagation, circuits, antennas, architectures, capabilities, and applications Digital communication: baseband signal/channel models, modulation, equalization, error control coding, multiple input multiple output (MIMO) principles, and hardware architectures Radio wave propagation characteristics: indoor and outdoor applications Antennas/antenna arrays, including on-chip and in-package antennas, fabrication, and packaging Analog circuit design: mmWave transistors, fabrication, and transceiver design approaches Baseband circuit design: multi–gigabit-per-second, high-fidelity DAC and ADC converters Physical layer: algorithmic choices, design considerations, and impairment solutions; and how to overcome clipping, quantization, and nonlinearity Higher-layer design: beam adaptation protocols, relaying, multimedia transmission, and multiband considerations 60 GHz standardization: IEEE 802.15.3c for WPAN, Wireless HD, ECMA-387, IEEE 802.11ad, Wireless Gigabit Alliance (WiGig)

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Author : E. S. Gopi
Publisher : Springer Nature
Page : 643 pages
File Size : 13,31 MB
Release : 2021-05-28
Category : Technology & Engineering
ISBN : 9811602891

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This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

Principles of Modern Radar

Author : Mark A. Richards
Publisher : SciTech Publishing
Page : 0 pages
File Size : 49,20 MB
Release : 2023-02-17
Category : Technology & Engineering
ISBN : 9781839533815

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Principles of Modern Radar: Basic Principles is a comprehensive text for courses in radar systems and technology, a professional training textbook for formal in-house courses and for new hires; a reference for ongoing study following a radar short course and a self-study and professional reference book.

Fundamentals of Wireless Communication

Author : David Tse
Publisher : Cambridge University Press
Page : 598 pages
File Size : 39,31 MB
Release : 2005-05-26
Category : Computers
ISBN : 9780521845274

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This textbook takes a unified view of the fundamentals of wireless communication and explains cutting-edge concepts in a simple and intuitive way. An abundant supply of exercises make it ideal for graduate courses in electrical and computer engineering and it will also be of great interest to practising engineers.