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Proceedings ArticleDOI

Energy/power estimation for LDPC decoders in software radio systems

TLDR
The performance and energy/power consumption trade-off for different LDPC decoding algorithms are presented and an efficient method to estimate energy consumption is proposed and a joint power management scheme for transmitter and receiver is proposed.
Abstract
Low-density parity-check (LDPC) codes are advanced error-correcting codes with performance approaching the Shannon limit. Although many LDPC code decoding algorithms have been proposed, no detailed comparison in energy/power consumption had ever been reported. This paper presents the performance and energy/power consumption trade-off for different LDPC decoding algorithms and proposes an efficient method to estimate energy consumption. We also propose a joint power management scheme for transmitter and receiver to save receiver energy while maintaining same communication quality by properly delivering more transmit power.

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Citations
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Patent

Method for operating a software radio receiver and software radio receiver

TL;DR: In this article, the authors present a method for operating a software radio receiver, which comprises receiving a radio signal, determining a signal quality of said radio signal and selecting a suitable algorithm for a function in the receiver in accordance with said determined signal quality and applying said selected algorithm to the radio signal.
Journal ArticleDOI

Multiple Parallel Concatenated Gallager Codes: Code Design and Decoding Techniques

TL;DR: It is shown that by optimizing the construction of the component LDPC codes and the number of decoding iterations at various channel conditions, the performance of MPCGCs can be significantly improved and their complexity reduced.
Journal ArticleDOI

Parallel concatenated Gallager codes for reliable data transmission in cognitive radio networks

TL;DR: Proposed parallel concatenated Gallager codes outperform a dedicated low density parity check code of same frame length and code rate in a dynamic and fragile cognitive radio network environment where the secondary users are prone to constant interference from the primary users.

Who wrote this scientific text

TL;DR: The IEEE bibliographic database contains a number of proven duplications with indication of the original paper(s) copied, and the intertextual distance, combined with the sliding window and with various classification techniques, identifies them with a very low risk of error.

L'intertextualité dans les publications scientifiques

TL;DR: In this paper, a combinaison de la distance intertextuelle avec la fenetre glissante et diverses techniques de classification permet d'identifier ces duplications avec un risque d'erreur tres faible.
References
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Book

Computer Architecture: A Quantitative Approach

TL;DR: This best-selling title, considered for over a decade to be essential reading for every serious student and practitioner of computer design, has been updated throughout to address the most important trends facing computer designers today.
Book

Low-Density Parity-Check Codes

TL;DR: A simple but nonoptimum decoding scheme operating directly from the channel a posteriori probabilities is described and the probability of error using this decoder on a binary symmetric channel is shown to decrease at least exponentially with a root of the block length.
Journal ArticleDOI

Factor graphs and the sum-product algorithm

TL;DR: A generic message-passing algorithm, the sum-product algorithm, that operates in a factor graph, that computes-either exactly or approximately-various marginal functions derived from the global function.
Journal ArticleDOI

Good error-correcting codes based on very sparse matrices

TL;DR: It is proved that sequences of codes exist which, when optimally decoded, achieve information rates up to the Shannon limit, and experimental results for binary-symmetric channels and Gaussian channels demonstrate that practical performance substantially better than that of standard convolutional and concatenated codes can be achieved.
Journal ArticleDOI

A recursive approach to low complexity codes

TL;DR: It is shown that choosing a transmission order for the digits that is appropriate for the graph and the subcodes can give the code excellent burst-error correction abilities.
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