Low Complexity MIMO Detection
Low Complexity MIMO Detection

Author: Lin Bai

Publisher: Springer Science & Business Media

Published: 2012-01-08

Total Pages: 251

ISBN-13: 1441985832

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Low Complexity MIMO Detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.

Low Complexity MIMO Receivers
Low Complexity MIMO Receivers

Author: Lin Bai

Publisher: Springer Science & Business Media

Published: 2014-03-13

Total Pages: 313

ISBN-13: 3319049844

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Multiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be prohibitively high. As an efficient mathematical tool to devise low complexity approaches that mitigate the interference in MIMO systems, lattice reduction (LR) has been widely studied and employed over the last decade. The co-authors of this book are world's leading experts on MIMO receivers, and here they share the key findings of their research over years. They detail a range of key techniques for receiver design as multiple transmitted and received signals are available. The authors first introduce the principle of signal detection and the LR in mathematical aspects. They then move on to discuss the use of LR in low complexity MIMO receiver design with respect to different aspects, including uncoded MIMO detection, MIMO iterative receivers, receivers in multiuser scenarios, and multicell MIMO systems.

Massive MIMO Detection Algorithm and VLSI Architecture
Massive MIMO Detection Algorithm and VLSI Architecture

Author: Leibo Liu

Publisher: Springer

Published: 2019-02-20

Total Pages: 348

ISBN-13: 9811363625

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This book introduces readers to a reconfigurable chip architecture for future wireless communication systems, such as 5G and beyond. The proposed architecture perfectly meets the demands for future mobile communication solutions to support different standards, algorithms, and antenna sizes, and to accommodate the evolution of standards and algorithms. It employs massive MIMO detection algorithms, which combine the advantages of low complexity and high parallelism, and can fully meet the requirements for detection accuracy. Further, the architecture is implemented using ASIC, which offers high energy efficiency, high area efficiency and low detection error. After introducing massive MIMO detection algorithms and circuit architectures, the book describes the ASIC implementation for verifying the massive MIMO detection. In turn, it provides detailed information on the proposed reconfigurable architecture: the data path and configuration path for massive MIMO detection algorithms, including the processing unit, interconnections, storage mechanism, configuration information format, and configuration method.

Novel Low-complexity MIMO Detection Based on Constellation Shift Binary Classification
Novel Low-complexity MIMO Detection Based on Constellation Shift Binary Classification

Author: Mohamed Ibrahim AlHajri

Publisher:

Published: 2018

Total Pages: 86

ISBN-13:

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This thesis develops a novel technique for low-complexity MIMO detection known as Constellation Shift Binary Classification (CSBC). The proposed method utilizes the constellation structure to deduce a constellation shift that is used to reduce the problem of detecting the symbol into binary classification. The proposed method is proven to outperform other common techniques such as ZF and LMMSE. The proposed CSBC is a novel MIMO detection technique since it utilizes the constellation structure together with a binary classifier that is based on neural networks.

Large MIMO Systems
Large MIMO Systems

Author: A. Chockalingam

Publisher: Cambridge University Press

Published: 2014-02-06

Total Pages: 335

ISBN-13: 1107026652

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This exclusive coverage of the opportunities, technological challenges, solutions, and state of the art of large MIMO systems provides an in-depth discussion of algorithms for large MIMO signal processing, suited for large MIMO signal detection, precoding and LDPC code designs. An ideal resource for researchers, designers, developers and practitioners in wireless communications.