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A Review on Deep Learning-Based Channel Estimation Scheme

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1154))

Abstract

In this review paper, we have tried to review the maximum amount of research work done till date on deep learning-based algorithms for channel estimation in different wireless systems of communication. Based on the numerical analysis of different papers, this review paper will prove that the DL-based approach is the new trend in channel estimation as it is highly outperforming the conventional schemes. In this paper, we have also tried to cover the basic concept of channel estimation.

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Correspondence to Amish Ranjan .

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Ranjan, A., Singh, A.K., Sahana, B.C. (2020). A Review on Deep Learning-Based Channel Estimation Scheme. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_90

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