Architectures for high-throughput and reliable iterative channel decoders

Architectures for high-throughput and reliable iterative channel decoders PDF Author: Matthias May
Publisher:
ISBN: 9783943995220
Category :
Languages : en
Pages : 147

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Book Description

Architectures for high-throughput and reliable iterative channel decoders

Architectures for high-throughput and reliable iterative channel decoders PDF Author: Matthias May
Publisher:
ISBN: 9783943995220
Category :
Languages : en
Pages : 147

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Book Description


High Throughput VLSI Architectures for Iterative Decoders

High Throughput VLSI Architectures for Iterative Decoders PDF Author: Engling Yeo
Publisher:
ISBN:
Category :
Languages : en
Pages : 372

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Book Description


Turbo Decoder Architecture for Beyond-4G Applications

Turbo Decoder Architecture for Beyond-4G Applications PDF Author: Cheng-Chi Wong
Publisher: Springer Science & Business Media
ISBN: 1461483107
Category : Technology & Engineering
Languages : en
Pages : 106

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Book Description
This book describes the most recent techniques for turbo decoder implementation, especially for 4G and beyond 4G applications. The authors reveal techniques for the design of high-throughput decoders for future telecommunication systems, enabling designers to reduce hardware cost and shorten processing time. Coverage includes an explanation of VLSI implementation of the turbo decoder, from basic functional units to advanced parallel architecture. The authors discuss both hardware architecture techniques and experimental results, showing the variations in area/throughput/performance with respect to several techniques. This book also illustrates turbo decoders for 3GPP-LTE/LTE-A and IEEE 802.16e/m standards, which provide a low-complexity but high-flexibility circuit structure to support these standards in multiple parallel modes. Moreover, some solutions that can overcome the limitation upon the speedup of parallel architecture by modification to turbo codec are presented here. Compared to the traditional designs, these methods can lead to at most 33% gain in throughput with similar performance and similar cost.

High Throughput Low Power Decoder Architectures for Low Density Parity Check Codes

High Throughput Low Power Decoder Architectures for Low Density Parity Check Codes PDF Author: Anand Manivannan Selvarathinam
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
A high throughput scalable decoder architecture, a tiling approach to reduce the complexity of the scalable architecture, and two low power decoding schemes have been proposed in this research. The proposed scalable design is generated from a serial architecture by scaling the combinational logic; memory partitioning and constructing a novel H matrix to make parallelization possible. The scalable architecture achieves a high throughput for higher values of the parallelization factor M. The switch logic used to route the bit nodes to the appropriate checks is an important constituent of the scalable architecture and its complexity is high with higher M. The proposed tiling approach is applied to the scalable architecture to simplify the switch logic and reduce gate complexity. The tiling approach generates patterns that are used to construct the H matrix by repeating a fixed number of those generated patterns. The advantages of the proposed approach are two-fold. First, the information stored about the H matrix is reduced by one third. Second, the switch logic of the scalable architecture is simplified. The H matrix information is also embedded in the switch and no external memory is needed to store the H matrix. Scalable architecture and tiling approach are proposed at the architectural level of the LDPC decoder. We propose two low power decoding schemes that take advantage of the distribution of errors in the received packets. Both schemes use a hard iteration after a fixed number of soft iterations. The dynamic scheme performs X soft iterations, then a parity checker cH[superscript]T that computes the number of parity checks in error. Based on cH[superscript]Tvalue, the decoder decides on performing either soft iterations or a hard iteration. The advantage of the hard iteration is so significant that the second low power scheme performs a fixed number of iterations followed by a hard iteration. To compensate the bit error rate performance, the number of soft iterations in this case is higher than that of those performed before cH[superscript]T in the first scheme.

Digital Satellite Communications

Digital Satellite Communications PDF Author: Giovanni E. Corazza
Publisher: Springer Science & Business Media
ISBN: 038734649X
Category : Technology & Engineering
Languages : en
Pages : 578

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Book Description
Discusses long-term developments Addresses advanced physical layer techniques designed for broadband communications, for fixed and mobile terminals Considers 4G evolutions and possible convergence between different technologies

Architectures for Baseband Signal Processing

Architectures for Baseband Signal Processing PDF Author: Frank Kienle
Publisher: Springer Science & Business Media
ISBN: 1461480302
Category : Technology & Engineering
Languages : en
Pages : 268

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Book Description
This book addresses challenges faced by both the algorithm designer and the chip designer, who need to deal with the ongoing increase of algorithmic complexity and required data throughput for today’s mobile applications. The focus is on implementation aspects and implementation constraints of individual components that are needed in transceivers for current standards, such as UMTS, LTE, WiMAX and DVB-S2. The application domain is the so called outer receiver, which comprises the channel coding, interleaving stages, modulator, and multiple antenna transmission. Throughout the book, the focus is on advanced algorithms that are actually in use in modern communications systems. Their basic principles are always derived with a focus on the resulting communications and implementation performance. As a result, this book serves as a valuable reference for two, typically disparate audiences in communication systems and hardware design.

Guessing Random Additive Noise Decoding

Guessing Random Additive Noise Decoding PDF Author: Syed Mohsin Abbas
Publisher: Springer Nature
ISBN: 3031316630
Category : Computers
Languages : en
Pages : 157

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Book Description
This book gives a detailed overview of a universal Maximum Likelihood (ML) decoding technique, known as Guessing Random Additive Noise Decoding (GRAND), has been introduced for short-length and high-rate linear block codes. The interest in short channel codes and the corresponding ML decoding algorithms has recently been reignited in both industry and academia due to emergence of applications with strict reliability and ultra-low latency requirements . A few of these applications include Machine-to-Machine (M2M) communication, augmented and virtual Reality, Intelligent Transportation Systems (ITS), the Internet of Things (IoTs), and Ultra-Reliable and Low Latency Communications (URLLC), which is an important use case for the 5G-NR standard. GRAND features both soft-input and hard-input variants. Moreover, there are traditional GRAND variants that can be used with any communication channel, and specialized GRAND variants that are developed for a specific communication channel. This book presents a detailed overview of these GRAND variants and their hardware architectures. The book is structured into four parts. Part 1 introduces linear block codes and the GRAND algorithm. Part 2 discusses the hardware architecture for traditional GRAND variants that can be applied to any underlying communication channel. Part 3 describes the hardware architectures for specialized GRAND variants developed for specific communication channels. Lastly, Part 4 provides an overview of recently proposed GRAND variants and their unique applications. This book is ideal for researchers or engineers looking to implement high-throughput and energy-efficient hardware for GRAND, as well as seasoned academics and graduate students interested in the topic of VLSI hardware architectures. Additionally, it can serve as reading material in graduate courses covering modern error correcting codes and Maximum Likelihood decoding for short codes.

Advanced Hardware Design for Error Correcting Codes

Advanced Hardware Design for Error Correcting Codes PDF Author: Cyrille Chavet
Publisher: Springer
ISBN: 3319105698
Category : Technology & Engineering
Languages : en
Pages : 197

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Book Description
This book provides thorough coverage of error correcting techniques. It includes essential basic concepts and the latest advances on key topics in design, implementation, and optimization of hardware/software systems for error correction. The book’s chapters are written by internationally recognized experts in this field. Topics include evolution of error correction techniques, industrial user needs, architectures, and design approaches for the most advanced error correcting codes (Polar Codes, Non-Binary LDPC, Product Codes, etc). This book provides access to recent results, and is suitable for graduate students and researchers of mathematics, computer science, and engineering. • Examines how to optimize the architecture of hardware design for error correcting codes; • Presents error correction codes from theory to optimized architecture for the current and the next generation standards; • Provides coverage of industrial user needs advanced error correcting techniques. Advanced Hardware Design for Error Correcting Codes includes a foreword by Claude Berrou.

High Throughput Iterative Decoders

High Throughput Iterative Decoders PDF Author: Engling Yeo
Publisher: Kluwer Academic Publishers
ISBN: 9781402076640
Category : Computers
Languages : en
Pages : 250

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Book Description
High Throughput Iterative Decoders: Towards Shannon Bound in VLSI addresses the algorithms and implementations of iterative decoders for error control in communication applications. The iterative codes are based on various concatenated schemes of convolutional codes, also known as turbo codes, and low density parity check (LDPC) codes. The decoding alogirthms are instances of message passing or belief propagation algorithms, which rely on the iterative cooperation between soft-decoding modules known as soft-input-Iterative decoding is a recent advacement in communication theory that is applicable to wireless, wireline, and optical communicatiosn systems. It promises significant advantage in bit-error rate (BER) performance at signal to noise ratios very close to the theoretical capacity bound. However, a direct mapping of the decoding algorithms leads to a multifold increase in the implementation complexity. As deep submicron technology matures, there is a possibility of implementing these applications that were once thought to be too complex to fit onto a single silicon die. We present the architectural and implementation issues related to the VLSI implementation of high throughput iterative decoders. The computational hardware and memory requirements of different competing architectures are discussed. This monograph also introduces reduced complexity modifications of algorithms that provide efficient mapping into architectures and VLSI implementations.

Massive MIMO Detection Algorithm and VLSI Architecture

Massive MIMO Detection Algorithm and VLSI Architecture PDF Author: Leibo Liu
Publisher: Springer
ISBN: 9811363625
Category : Computers
Languages : en
Pages : 348

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Book Description
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.