K-Best Decoders for 5G+ Wireless Communication

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Release : 2016-08-31
Genre : Technology & Engineering
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Book Rating : 098/5 ( reviews)

K-Best Decoders for 5G+ Wireless Communication - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook K-Best Decoders for 5G+ Wireless Communication write by Mehnaz Rahman. This book was released on 2016-08-31. K-Best Decoders for 5G+ Wireless Communication available in PDF, EPUB and Kindle. This book discusses new, efficient and hardware realizable algorithms that can attain the performance of beyond 5G wireless communication. The authors explain topics gradually, stepping from basic MIMO detection to optimized schemes for both hard and soft domain MIMO detection and also to the feasible VLSI implementation, scalable to any MIMO configuration (including massive MIMO, used in satellite/space communication). The techniques described in this book enable readers to implement real designs, with reduced computational complexity and improved performance.

Fast, Flexible, and Area-efficient Decoders for Polar Codes

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Release : 2019
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Book Rating : /5 ( reviews)

Fast, Flexible, and Area-efficient Decoders for Polar Codes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fast, Flexible, and Area-efficient Decoders for Polar Codes write by Seyyed Ali Hashemi. This book was released on 2019. Fast, Flexible, and Area-efficient Decoders for Polar Codes available in PDF, EPUB and Kindle. "Polar codes have received a great deal of attention in the past few years to the extent that they are selected to be included in the 5th Generation of Wireless Communications Standard (5G). Specifically, polar codes were selected as the coding scheme for the Enhanced Mobile Broadband (eMBB) control channel which requires codes of short length. The main bottleneck in the deployment of polar codes in 5G is the design of a decoder which can achieve good error-correction performance, with low hardware implementation cost and high throughput. Successive-Cancellation (SC) decoding was the first algorithm under which polar codes could achieve capacity when the code length is very high. However, for finite practical code lengths, SC decoding falls short in providing a reasonable error-correction performance because of its sub-optimality with respect to the Maximum-Likelihood (ML) decoder. Sphere Decoding (SD) is an algorithm that can achieve the performance of ML decoding with a very high complexity. In order to close the gap between SC and ML decoding, Successive-Cancellation List (SCL) decoding keeps a list of candidates and selects the one with the best Path Metric (PM). Although SCL provides a good error-correction performance, it comes at the cost of higher complexity and lower throughput. In this thesis, we first propose a low complexity SD algorithm which provides a good trade-off between the error-correction performance and the complexity of the decoder for polar codes of short lengths. We then propose algorithms to speed up the SCL decoders. We prove that while these algorithms have much higher throughput than the conventional SCL decoder, they incur no error-correction performance loss. We further propose several techniques to reduce the area occupation in the hardware implementation of SC and SCL decoders by reducing their memory requirements. We solve the flexibility issue of fast SC-based decoders and introduce a completely rate-flexible scheme. Hardware architectures for the proposed algorithms are presented and comparisons with state of the art are made. Finally, we evaluate the performance of polar codes in 5G and we show that polar codes can be used in practical applications by proposing a blind detection scheme with polar codes." --

Enabling Technologies for Next Generation Wireless Communications

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Release : 2020-12-28
Genre : Computers
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Book Rating : 003/5 ( reviews)

Enabling Technologies for Next Generation Wireless Communications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Enabling Technologies for Next Generation Wireless Communications write by Mohammed Usman. This book was released on 2020-12-28. Enabling Technologies for Next Generation Wireless Communications available in PDF, EPUB and Kindle. Enabling Technologies for Next Generation Wireless Communications provides up-to-date information on emerging trends in wireless systems, their enabling technologies and their evolving application paradigms. This book includes the latest trends and developments toward next generation wireless communications. It highlights the requirements of next generation wireless systems, limitations of existing technologies in delivering those requirements and the need to develop radical new technologies. It focuses on bringing together information on various technological developments that are enablers vital to fulfilling the requirements of future wireless communication systems and their applications. Topics discussed include spectrum issues, network planning, signal processing, transmitter, receiver, antenna technologies, channel coding, security and application of machine learning and deep learning for wireless communication systems. The book also provides information on enabling business models for future wireless systems. This book is useful as a resource for researchers and practitioners worldwide, including industry practitioners, technologists, policy decision-makers, academicians, and graduate students.

Machine Learning for Future Wireless Communications

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Release : 2020-02-10
Genre : Technology & Engineering
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Book Rating : 252/5 ( reviews)

Machine Learning for Future Wireless Communications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning for Future Wireless Communications write by Fa-Long Luo. This book was released on 2020-02-10. Machine Learning for Future Wireless Communications available in PDF, EPUB and Kindle. A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.

Optical and Wireless Technologies

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Release : 2019-04-09
Genre : Technology & Engineering
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Book Rating : 592/5 ( reviews)

Optical and Wireless Technologies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optical and Wireless Technologies write by Vijay Janyani. This book was released on 2019-04-09. Optical and Wireless Technologies available in PDF, EPUB and Kindle. This volume presents selected papers from the 2nd International Conference on Optical and Wireless Technologies, conducted from 10th to 11th February, 2018. It focuses on extending the limits of currently used systems encompassing optical and wireless domains, and explores novel research on wireless and optical techniques and systems, describing practical implementation activities, results and issues. The book will serve as a valuable reference resource for academics and researchers across the globe.