Source compression in two-way two-relay network using compute-and-forward relaying

Jeyalakshmi, V.; Selvi, S. Tamil

doi:10.1016/j.aeue.2018.09.001

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…The SCoF proposes an asymptotically optimal, polynomial-time algorithm that allows the transmitting nodes to have better coding opportunities, thus maintaining the superior CoF capability without degrading with the increase in network size. In [16], a scheme based on vector quantization and computational forwarding relaying technique is proposed based on MMSE and LSE methods by analyzing the performance in Additive White Gaussian Noise (AWGN) and Rayleigh fading channels; these methods improve the efficiency in wireless relay networks. However, this method does not consider the rank failure problem.…”

Section: Related Workmentioning

confidence: 99%

A Novel Compute-and-Forward Relaying Method for Multi-Antenna Wireless Relay Networks

Yang,

Yan,

et al. 2023

Entropy

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Compute-and-Forward (CoF) is an innovative physical layer network coding strategy, designed to enable receivers in wireless communications to effectively utilize interference. The key idea of CoF is to implement integer combinations based on the codewords from multiple transmitters, rather than decoding individual source codewords. Although CoF is widely used in wireless relay networks, there are still some problems to be solved, such as rank failure, single antenna reception, and the shortest vector problem. In this paper, we introduce a successive extended CoF (SECoF) as a pioneering solution tailored for multi-source, multi-relay, and multi-antenna wireless relay networks. First, we analyze the traditional CoF, and design a SECoF method combining the concepts of matrix projection and successive interference cancellation, which overcomes the problem of CoF rate tending to zero and rank failure and improves the network performance. Secondly, we obtain an approximate solution to the integer-value coefficient vectors by using the LLL lattice-based resolution algorithm. In addition, we deduce the corresponding concise formulas of SECoF. Simulation results show that the SECoF has strong robustness and the approaches outperform the state-of-the-art methods in terms of computation rate, rank failure probability, and outage probability.

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Section: Related Workmentioning

confidence: 99%

A Novel Compute-and-Forward Relaying Method for Multi-Antenna Wireless Relay Networks

Yang,

Yan,

et al. 2023

Entropy

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“…In [15], the authors have introduced the source compression using lattice vector quantization in PNC to improve the performance during MAC phase transmission. The error rate performance in Additive White Gaussian Noise (AWGN) and fading wireless atmosphere for Decode and Forward (DF) and Compute and Forward (CF) relaying techniques are derived analytically and verified through MATLAB simulation.…”

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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“…In [16], the authors have introduced the source compression using lattice vector quantization in PNC for improving the performance during MAC phase transmission. where 𝑅 𝑗 is the transmission rate of senders.The capacity region of Gaussian MAC when the code words (𝑋 1 , 𝑋 2 )are independent and identically distributed is,…”

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.

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Source compression in two-way two-relay network using compute-and-forward relaying

Cited by 8 publications

References 18 publications

A Novel Compute-and-Forward Relaying Method for Multi-Antenna Wireless Relay Networks

A Novel Compute-and-Forward Relaying Method for Multi-Antenna Wireless Relay Networks

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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