2023
DOI: 10.1016/j.phycom.2023.102106
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Optimal coefficient selection in Compute and Forward relaying using improved Schnorr–Euchner search algorithm

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Cited by 5 publications
(2 citation statements)
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“…[25] effectively reduces the overall complexity and improves the efficiency of [24] by further optimizing the vectors. In [26], an iterative algorithm for finding the optimal coefficient vector in the Gaussian integer domain using an improved Schnorr-Euchner search strategy is proposed.…”
Section: Related Workmentioning
confidence: 99%
“…[25] effectively reduces the overall complexity and improves the efficiency of [24] by further optimizing the vectors. In [26], an iterative algorithm for finding the optimal coefficient vector in the Gaussian integer domain using an improved Schnorr-Euchner search strategy is proposed.…”
Section: Related Workmentioning
confidence: 99%
“…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. A coefficient selection algorithm using an improved Schnorr -Euchner search strategy for decoding linear equations of messages at the intermediate node in PNC for CF relaying is proposed in [16], and the efficiency of the proposed algorithm is compared with other prevailing algorithms of optimal coefficient selection. The BER performance comparison of communication systems for network coding with relay selection and network coding without relay selection is derived and validated through simulation in [17].…”
Section: Introductionmentioning
confidence: 99%