Controlling Error Propagation in Network-Coded Cooperative Wireless Systems

Al-Habian, G.; Ghrayeb, Ali; Hasna, Mazen O.

doi:10.1109/icc.2009.5198855

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…Most of these studies have the main objective to analyze the effectiveness of such a joint decoding design for the robust and reliable operation of network-coded wireless architectures over lossy networks and to overcome some initial assumptions retained in, e.g., [15]. For example, in [15] ideal errorcorrecting codes are assumed for the source-to-relay channels, which results in having error-free communication over these links, as well as in introducing a diversity loss since the local channel code blocks the whole frame if just a single bit is erroneous (see, e.g., [36], [37]). Some examples of recent research results addressing the exploitation and the benefits of a joint network-channel code design and decoding can be found in [38]- [48].…”

Section: Recent Resultsmentioning

confidence: 99%

Robust Wireless Network Coding – An Overview

Renzo

Iwaza

Kieffer

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Network Coding (NC) has witnessed a tremendous upsurge in interest and activities in recent years, both in academia and industry. Indeed, since the pioneering publication of Ahlswede et al. in 2000, NC has rapidly emerged as a major research area in information theory due to its wide applicability to communication through real networks. The many contributions available in the literature to date, ranging from purely theoretical studies on fundamental limits to practical experimentations in real-world environments, offer a clear evidence that the shift in paradigm envisaged by NC might revolutionize the way we manage, operate, and understand the organization of networks. However, the principle of NC is not without its limitations. Initial studies on NC were mainly focused on lossless channels, which, however, might have limited applicability to a wireless context. As a matter of fact, in practical wireless environments, NC might be very susceptible to transmission errors caused by noise, fading, or interference. In particular, the algebraic operations accomplished by the intermediate nodes of the network introduce some packet dependencies in a way that the injection of even a single erroneous packet has the potential to corrupt every packet received by the destination nodes. Motivated by this consideration, recent research efforts have been devoted to the design of robust NC, with the main goal to circumvent the critical limitations of the NC paradigm in practical operating environments. In this paper, we aim at providing an overview of the most important and notable research directions in this emerging field.

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Section: Recent Resultsmentioning

confidence: 99%

Robust Wireless Network Coding – An Overview

Renzo

Iwaza

Kieffer

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…Several studies linked to joint network-channel decoding have been proposed in [24] and [25]. These studies have focused on relaxing some of the hypotheses introduced in [25], like assuming that the error correction is perfect between the source and the relays, see for example [5], [56], or [3]. Other results on joint network-channel decoding and more specifically code optimization can be found in [61].…”

Section: Recent Developmentsmentioning

confidence: 99%

Robust Network Coding

2012

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“…In this case, the strategy employed for mitigating error propagation is a bit more complicated compared with that in the case of unidirectional relaying, particularly when, for this purpose, the maximum‐likelihood (ML) detection scheme is employed at the destination, which requires that the instantaneous CSI of both source–relay links is available at the destination. In [29, 30], for the case of the TDBC protocol, two LLR‐based selective relaying schemes have been presented. In the first scheme, the relay compares the LLR values of the two bits received from the source nodes with two predetermined thresholds to decide whether to transmit in the broadcast phase or not.…”

Section: Introductionmentioning

confidence: 99%

SNR‐based selective relaying schemes in network‐coded two‐way relay channels

Bastami

2016

IET Communications

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Controlling Error Propagation in Network-Coded Cooperative Wireless Systems

Cited by 5 publications

References 9 publications

Robust Wireless Network Coding – An Overview

Robust Wireless Network Coding – An Overview

Robust Network Coding

SNR‐based selective relaying schemes in network‐coded two‐way relay channels

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