Comparison of a physical-layer network coding system with iterative coding schemes

Al-Rubaie, Alaa A. S.; Tsimenidis, Charalampos C.; Johnston, Martin; Sharif, B.S.

doi:10.1109/wmnc.2013.6549038

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…The compatibility and the performance of the PLNC with error correction codes are investigated in [41]. Turbo codes, LDPC codes and bit-interleaved coded modulation with iterative decoding (BICM-ID) are simulated in a PLNC based network.…”

Section: A Physical Layer Network Coding (Plnc)mentioning

confidence: 99%

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

2022

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In conventional communication systems, any interference between two communicating points is regarded as unwanted noise since it distorts the received signals. On the other hand, allowing simultaneous transmission and intentionally accepting the superposition of signals and even benefiting from it have been considered for a range of wireless applications. As prominent examples, NOMA, joint sourcechannel coding, and the computation codes are designed to exploit this scenario. They also inspired many other fundamental works from network coding to consensus algorithms. Especially, federated learning is an emerging technology that can be applied to distributed machine learning networks by allowing simultaneous transmission. Although various simultaneous transmission applications exist independently in the literature, their main contributions are all based on the same principle; the superposition property. In this survey, we aim to emphasize the connections between these studies and provide a guide for the readers on the wireless communication techniques that benefit from the superposition of signals. We classify the existing literature depending on their purpose and application area and present their contributions. The survey shows that simultaneous transmission can bring scalability, security, low-latency, low-complexity and energy efficiency for certain distributed wireless scenarios which are inevitable with the emerging wireless technologies.

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Section: A Physical Layer Network Coding (Plnc)mentioning

confidence: 99%

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

2022

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“…Codes other than convolutional ones have also been studied for application in PNC. In [24], the authors compare the performance of a two-way relaying network employing PNC with three types of error-correcting codes used at the source and destination nodes. These are iteratively decodable low-density parity check codes (LDPC), turbo codes, and bit-interleaved coded modulation with iterative decoding (BICM-ID).…”

Section: Two-way Relaying System Model and Related Workmentioning

confidence: 99%

“…These are iteratively decodable low-density parity check codes (LDPC), turbo codes, and bit-interleaved coded modulation with iterative decoding (BICM-ID). The research reported in [24] indicates that, when applied in PNC, the performance of LDPC codes is degraded more than in the case of other codes due to the sum-product decoding algorithm which is less robust to unreliable symbols broadcast from the relay. However, it is worth stressing that other factors can also influence channel code selection, such as introduced decoding delay, simplicity of decoder implementation, etc.…”

Section: Two-way Relaying System Model and Related Workmentioning

confidence: 99%

“…The proposed decoding scheme can be viewed as a serial concatenated decoding scheme with the source codes, not necessarily the same, treated as the outer codes, and the physical network coding as the inner code. The drawback of the authors' approach is similar to that in [24]. Namely, they assume an ideal PNC scheme, in which the signal received by the relay is a sum of equally attenuated and co-phased BPSK signals transmitted by both end nodes.…”

Section: Two-way Relaying System Model and Related Workmentioning

confidence: 99%

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Application of an Interference Cancellation Detector in a Two-Way Relaying System with Physical Network Coding

Ghazi

Wesołowski

2021

Electronics

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In this paper, we investigate the performance of a detector recently proposed by us that is applied in the relay station receiving signals from two terminals concurrently exchanging data in the two-way relaying system. This is one of the potential configurations to save resources in fifth-generation systems, similar to non-orthogonal multiple access, which is also considered for such systems. Two-way relaying can be implemented using physical network coding. This technique originates from the network coding idea, in which network nodes can perform some mathematical operations. The idea of the investigated detector lies in the application of tentative decisions about weaker signals in the detection of stronger ones and then, after improved detection of stronger user signals, achieving more reliable decisions about the weaker ones. We compare the performance of the proposed detector with the performance of a detector in which the relay makes decisions on the data symbols received from the stations participating in two-way relaying on a symbol-by-symbol basis. Simulation results performed for two-way relaying with physical network coding reported in this paper confirm the superiority of the proposed detector when compared with the standard physical network coding solution applied in the relay node.

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“…The compatibility and the performance of the PLNC with error correction codes are investigated in [39]. Turbo codes, LDPC codes and bit-interleaved coded modulation with iterative decoding (BICM-ID) are simulated in a PLNC based network.…”

Section: A Physical Layer Network Coding (Plnc)mentioning

confidence: 99%

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

Altun,

Kurt,

Ozdemir

2021

Preprint

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In conventional communication systems, any interference between two communicating points is regarded as unwanted noise since it distorts the received signals. On the other hand, allowing simultaneous transmission and intentionally accepting the interference of signals and even benefiting from it have been considered for a range of wireless applications. As prominent examples, non-orthogonal multiple access (NOMA), joint source-channel coding, and the computation codes are designed to exploit this scenario. They also inspired many other fundamental works from network coding to consensus algorithms. Especially, federated learning is an emerging technology that can be applied to distributed machine learning networks by allowing simultaneous transmission. Although various simultaneous transmission applications exist independently in the literature, their main contributions are all based on the same principle; the superposition property. In this survey, we aim to emphasize the connections between these studies and provide a guide for the readers on the wireless communication techniques that benefit from the superposition of signals. We classify the existing literature depending on their purpose and application area and present their contributions. The survey shows that simultaneous transmission can bring scalability, security, low-latency, lowcomplexity and energy efficiency for certain distributed wireless scenarios which are inevitable with the emerging Internet of things (IoT) applications.

show abstract

Comparison of a physical-layer network coding system with iterative coding schemes

Cited by 5 publications

References 12 publications

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

Application of an Interference Cancellation Detector in a Two-Way Relaying System with Physical Network Coding

The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems

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