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Book ChapterDOI

Cell Processor Based LDPC Encoder/Decoder for WiMAX Applications

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TLDR
This paper presents an alternative software-based solution that has several advantages over dedicatedHardware solutions and achieved significant performance improvement over existing software and dedicated hardware solutions.
Abstract
Encoder and decoder are the two most important and complex components of a wireless transceiver. Traditionally, dedicated hardware solutions are used because of their computational intensive algorithms. This paper presents an alternative software-based solution that has several advantages over dedicated hardware solutions. LDPC codes are chosen for their excellent error correcting performance and cell processor is chosen for its tremendous computational power. Sparse and structural properties of LDPC codes are exploited to reduce computation and memory requirements. Several optimization techniques suitable to cell processor architecture such as multi-threading, vectorization, loop unrolling are used to improve performance. The proposed solution achieved significant performance improvement over existing software and dedicated hardware solutions.

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Citations
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Journal ArticleDOI

A Survey on Programmable LDPC Decoders

TL;DR: A survey of the most relevant publications made in the past decade to programmable LDPC decoders looks at the advantages and disadvantages of parallel architectures and data-parallel programming models, and assesses how the design space exploration is pursued regarding key characteristics of the underlying code and decoding algorithm features.
References
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Journal ArticleDOI

Near Shannon limit performance of low density parity check codes

TL;DR: The authors report the empirical performance of Gallager's low density parity check codes on Gaussian channels, showing that performance substantially better than that of standard convolutional and concatenated codes can be achieved.
Journal ArticleDOI

Efficient encoding of low-density parity-check codes

TL;DR: It is shown how to exploit the sparseness of the parity-check matrix to obtain efficient encoders and it is shown that "optimized" codes actually admit linear time encoding.
Proceedings ArticleDOI

A reduced complexity decoder architecture via layered decoding of LDPC codes

TL;DR: The previously devised irregular partitioned permutation LDPC codes have a construction that easily accommodates a layered decoding and it is shown that the decoding performance is improved by a factor of two in the number of iterations required.
Journal ArticleDOI

High-throughput LDPC decoders

TL;DR: A high-throughput memory-efficient decoder architecture for low-density parity-check (LDPC) codes is proposed based on a novel turbo decoding algorithm, and a full-decoder architecture is presented.
Proceedings ArticleDOI

On finite precision implementation of low density parity check codes decoder

TL;DR: Simulation results indicate that the quantization scheme for the LDPC decoder is effective in approximating the infinite precision implementation, and 4 bits and 6 bits are adequate for representing the received data and extrinsic information.
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