Algorithms And Vlsi Implementations Of Mimo Detection
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Algorithms And Vlsi Implementations Of Mimo Detection
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Author : Ibrahim A. Bello
language : en
Publisher: Springer Nature
Release Date : 2022-07-22
Algorithms And Vlsi Implementations Of Mimo Detection written by Ibrahim A. Bello and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-22 with Technology & Engineering categories.
This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages. Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail; Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput; Discusses design tradeoffs that will guide readers’ efforts when implementing MIMO algorithms in hardware; Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.
Massive Mimo Detection Algorithm And Vlsi Architecture
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Author : Leibo Liu
language : en
Publisher: Springer
Release Date : 2019-02-20
Massive Mimo Detection Algorithm And Vlsi Architecture written by Leibo Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-20 with Computers categories.
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.
Vlsi Implementation Of Digital Signal Processing Algorithms For Mimo Detection And Channel Pre Processing
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Author : Dimpesh Patel
language : en
Publisher:
Release Date : 2010
Vlsi Implementation Of Digital Signal Processing Algorithms For Mimo Detection And Channel Pre Processing written by Dimpesh Patel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Efficient Algorithms And Vlsi Implementation Of Mimo Detector
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Author : Dan Luo
language : en
Publisher:
Release Date : 2009
Efficient Algorithms And Vlsi Implementation Of Mimo Detector written by Dan Luo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Algorithms categories.
Vlsi Implementation Of Mimo Signal Processing Algorithms
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Author : Mahdi Shabany
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-05
Vlsi Implementation Of Mimo Signal Processing Algorithms written by Mahdi Shabany and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05 with categories.
The efficient high-throughput VLSI implementation of near-optimal multiple-input multiple-output (MIMO) detectors for MIMO systems with large number of antennas in high-order quadrature amplitude modulation (QAM) schemes has been a major challenge in the literature. To address this challenge, this book introduces a novel scalable pipelined VLSI ar- chitecture for a 4 X 4 64-QAM MIMO receiver based on K-Best lattice decoders. The key contribution is a means of expanding/visiting the intermediate nodes of the search tree on-demand, rather than exhaustively along with three types of dis- tributed sorters operating in a pipelined structure. The combined expansion and sorting cores are able to find the K best candidates in K clock cycles. The pro- posed architecture has a fixed critical path independent of the constellation order, on-demand expansion scheme, efficient distributed sorters, and is scalable to a higher number of antennas/constellation orders. Fabricated in 0.13um CMOS, it operates at a significantly higher throughput than currently reported schemes.
Signal Detection Algorithm Design And Vlsi Implementation For Mimo Ofdm Wireless Communication Systems
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Author : Sizhong Chen
language : en
Publisher:
Release Date : 2007
Signal Detection Algorithm Design And Vlsi Implementation For Mimo Ofdm Wireless Communication Systems written by Sizhong Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Electrical engineering categories.
K Best Decoders For 5g Wireless Communication
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Author : Mehnaz Rahman
language : en
Publisher: Springer
Release Date : 2016-08-31
K Best Decoders For 5g Wireless Communication written by Mehnaz Rahman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-31 with Technology & Engineering categories.
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.
Vlsi Implementation Of Digital Signal Processing Algorithms For Mimo Siso Systems
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Author : Mahdi Shabany
language : en
Publisher:
Release Date : 2009
Vlsi Implementation Of Digital Signal Processing Algorithms For Mimo Siso Systems written by Mahdi Shabany and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
The efficient high-throughput VLSI implementation of near-optimal multiple-input multiple-output (MIMO) detectors for 4x4 MIMO systems in high-order quadrature amplitude modulation (QAM) schemes has been a major challenge in the literature. To address this challenge, this thesis introduces a novel scalable pipelined VLSI architecture for a 4 x 4 64-QAM MIMO receiver based on K-Best lattice decoders. The key contribution is a means of expanding/visiting the intermediate nodes of the search tree on-demand, rather than exhaustively along with three types of distributed sorters operating in a pipelined structure. The combined expansion and sorting cores are able to find the K best candidates in K clock cycles. The proposed architecture has a fixed critical path independent of the constellation order, on-demand expansion scheme, efficient distributed sorters, and is scalable to a higher number of antennas/constellation orders. Fabricated in 0.13mum CMOS, it operates at a significantly higher throughput (5.8x better) than currently reported schemes and occupies 0.95 mm2 core area. Operating at 282 MHz clock frequency, it dissipates 135 mW at 1.3 V supply with no performance loss. It achieves an SNR-independent decoding throughput of 675 Mbps satisfying the requirements of IEEE 802.16m and Long Term Evolution (LTE) systems. The measurements confirm that this design consumes 3.0x less energy/bit compared to the previous best design.
Vlsi Implementation Of Digital Signal Processing Algorithms For Mimo Siso Systems
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Author :
language : en
Publisher:
Release Date : 2003
Vlsi Implementation Of Digital Signal Processing Algorithms For Mimo Siso Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
The efficient high-throughput VLSI implementation of near-optimal multiple-input multiple-output (MIMO) detectors for 4x4 MIMO systems in high-order quadrature amplitude modulation (QAM) schemes has been a major challenge in the literature. To address this challenge, this thesis introduces a novel scalable pipelined VLSI architecture for a 4x4 64-QAM MIMO receiver based on K-Best lattice decoders. The key contribution is a means of expanding/visiting the intermediate nodes of the search tree on-demand, rather than exhaustively along with three types of distributed sorters operating in a pipelined structure. The combined expansion and sorting cores are able to find the K best candidates in K clock cycles. The proposed architecture has a fixed critical path independent of the constellation order, on-demand expansion scheme, efficient distributed sorters, and is scalable to a higher number of antennas/constellation orders. Fabricated in 0.13um CMOS, it operates at a significantly higher throughput (5.8x better) than currently reported schemes and occupies 0.95 mm2 core area. Operating at 282 MHz clock frequency, it dissipates 135 mW at 1.3 V supply with no performance loss. It achieves an SNR-independent decoding throughput of 675 Mbps satisfying the requirements of IEEE 802.16m and Long Term Evolution (LTE) systems. The measurements confirm that this design consumes 3.0x less energy/bit compared to the previous best design.
Design And Implementation Of An Improved Soft Output Mimo Detector
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Author : Chen Shen
language : en
Publisher:
Release Date : 2010
Design And Implementation Of An Improved Soft Output Mimo Detector written by Chen Shen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Abstract: Multiple-input multiple-output (MIMO) technique in communication system has been widely researched. Compared with single-input single-output (SISO) communication, its properties of higher throughput, more ecient spectrum and usage make it one of the most significant technology in modern wireless communications. In MIMO system, sphere detection is the fundamental part. The purpose of traditional sphere detection is to achieve the maximum likelihood (ML) demodulation of the MIMO system. However, with the development of advanced forward error correction (FEC) techniques, such as the Convolutional code, Turbo code and LDPC code, the sphere detection algorithms that can provide soft information for the outer decoder attract more interests recently. Considering the computing complexity of generating the soft information, it is important to develop a high-speed VLSI architecture for MIMO detection. The first part of this thesis is about MIMO sphere detection algorithms. Two sphere detection algorithms are introduced. The depth first Schnorr-Euchner (SE) algorithm which generates the ML detection solution and the width first K-BEST algorithm which only generates the nearly-ML detection solution but more efficient in implementation are presented. Based on these algorithms, an improved nearly-ML algorithm with lower complexity and limited performance lose, compared with traditional K-BEST algorithms, is presented. The second part is focused on the hardware design. A 4*4 16-QAM MIMO detection system which can generate both soft information and hard decision solution is designed and implemented in FPGA. With the fully pipelined and parallel structure, it can achieve a throughput of 3.7 Gbps. In this part, the improved nearly-ML algorithm is implmented as a detector to generat both the hard output and candidate list. Then, a soft information calculation block is designed to succeed the detector and produce the log-likelihood ratio (LLR) values for every bit as the soft output.