Performance analysis of physical-layer network coding with QPSK modulation in wireless IoT networks

Yeom, Jeong Seon; Ko, Kabseok; Jin, Hu; Jung, Bang Chul

doi:10.1016/j.icte.2021.10.007

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Indeed, it was proven that OFDM-based PNC is vulnerable to carrier frequency offset (CFO), which can be induced by node mobility and/or local oscillator (LO) mismatch between transmitters and receivers. This CFO cannot be estimated and eliminated in PNC at the relay node, which generally faces two different CFO values from the edge nodes A and B. CFO in PNC results in not only the inter-carrier interference (ICI) between the subcarriers of nodes A and B, but also a relative phase offset between the received constellations of nodes A and B, and both will cause performance loss in PNC, especially for high-order modulations including QPSK [50] [51]. The rationale behind this first set of experiments is to evaluate our MAC protocol under different modulations in order to figure out the more appropriate PHY configuration to obtain the best performances.…”

Section: Results Of the Twrc Topologymentioning

confidence: 99%

Distributed Physical-layer Network Coding MAC protocol

Aissaoui,

Houaidia,

Van Den Bossche

et al. 2024

Ad Hoc Networks

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Section: Results Of the Twrc Topologymentioning

confidence: 99%

Distributed Physical-layer Network Coding MAC protocol

Aissaoui,

Houaidia,

Van Den Bossche

et al. 2024

Ad Hoc Networks

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“…They referred DF Scheme as 3-a step scheme, and all others relaying as a 2-step scheme. In [14], the authors analyzed the performance of PNC, which employs QPSK modulation for (Internet of Things) IoT networks. The proposed model considered multiple antennas at the relay node.…”

Section: Introductionmentioning

confidence: 99%

Channel Precoding for Compute and Forward Relaying in Two Way Relay Network Model

Vijayarajan,

Selvi

2024

Comput. Networks Commun.

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Physical layer Network Coding (PNC) is a promising strategy to improve the spectral efficiency in a relay-based wireless transmission. This paper employs lattice-based channel coding at the source nodes for better performance during Multiple Access Channel (MAC) phase transmission. The achievable transmission rate in various PNC relaying such as Decode and Forward (DF), Amplify and Forward (AF), and Compute and Forward (CF) for the Two Way Relay Network model (TWRN) is derived and simulated through MATLAB software and analyzed. The analysis shows that the rate performance of CF relaying outperforms other relaying techniques in the Additive White Gaussian Noise (AWGN) channel, but it degrades for the Rayleigh fading channel. To mitigate the fading effects, channel aware precoding technique is employed at source nodes, Bit Error Rate (BER) and Symbol Error Rate (SER) performance are analyzed for CF relaying, and Monte Carlo simulations are used to demonstrate the theoretical results. Channel precoding performance of CF relaying is compared with DF relaying.

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“…They referred DF Scheme as 3-step scheme and all other relaying as 2-step schemes. In [15], authors analyzed the performance of PNC that employs QPSK modulation for IoT networks. The proposed model considered multiple antennas at the relay node.…”

Section: Introductionmentioning

confidence: 99%

Channel Precoding for Compute and Forward relaying in Two way Relay Network model

Jeyalakshmi¹,

2023

Preprint

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Physical layer network coding (PNC) is a promising strategy that aims to improve the spectral efficiency in relay based wireless transmission. In this paper, lattice based channel coding is employed at the source nodes for better performance during Multiple Access Channel (MAC) phase transmission. The achievable transmission rate in various PNC relaying such as Decode and Forward (DF), Amplify and Forward (AF) and Compute and Forward (CF) for the Two Way Relay Network model (TWRN) is derived and simulated through MATLAB software and analyzed. The analysis shows that rate performance of CF relaying outperforms other relaying techniques in Additive White Gaussian Noise (AWGN) channel, but it degrades for Rayleigh fading channel. To mitigate the effects of fading, channel aware precoding technique is employed at source nodes and Bit Error Rate (BER), symbol error rate performance are analyzed for CF relaying and Monte Carlo simulations are used to demonstrate the theoretical results. Channel precoding performance of CF relaying is compared with DF relaying.

show abstract

Performance analysis of physical-layer network coding with QPSK modulation in wireless IoT networks

Cited by 4 publications

References 16 publications

Distributed Physical-layer Network Coding MAC protocol

Distributed Physical-layer Network Coding MAC protocol

Channel Precoding for Compute and Forward Relaying in Two Way Relay Network Model

Channel Precoding for Compute and Forward relaying in Two way Relay Network model

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