Abstract
Interference is an obstacle to communication in wireless communication networks. One of the most employed methods to efficiently reduce interference and enhance capacity of a wireless network is interference alignment. A necessary step for the interference alignment methods is the quantization of the channel coefficients. In the literature, the use of fuzzy logic in coding theory is a flourishing research topic. The present contribution intends to present a classic construction to quantize real-valued channel coefficients and include such a theory in the framework of fuzzy theory, more precisely, in the context of T-fuzzy subgroups, T-indistinguishability operator and T-vague groups.
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Acknowledgements
The authors are greatly thankful to the anonymous referee for the valuable suggestions. Also, the authors would like to thank CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) under grant 141348/2019-4 for the financial support.
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Cristina Trinca, C., Augusto Watanabe, R., Esmi, E. (2022). Construction of T-Vague Groups for Real-Valued Interference Channel. In: Bede, B., Ceberio, M., De Cock, M., Kreinovich, V. (eds) Fuzzy Information Processing 2020. NAFIPS 2020. Advances in Intelligent Systems and Computing, vol 1337. Springer, Cham. https://doi.org/10.1007/978-3-030-81561-5_6
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DOI: https://doi.org/10.1007/978-3-030-81561-5_6
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