Review On Channel Estimation In 5g Massive Mimo Using Tdm and Ai

Authors

  • TIRUPATHAIAH KANAPARTHI Research Scholar, VFSTR-Guntur
  • RAMESH SUNDAR Associate Professor, VFSTR-Guntur

Keywords:

Channel Estimation, Energy, Massive MIMO, 5G, TDM

Abstract

In the wireless communication sector, there is higher shortage in bandwidth has motivated to the exploration of a wireless access technology named as Massive Multiple-Input Multiple- output (MIMO). Massive MIMO is an advanced technology for future generation networks in grouping the antennas at transmitter and receiver to furnish higher spectral and efficiency of energy using relatively simple processing. By deploying 5G-TDM-Artificial Intelligence- networks will overcome the above mentioned issues for accomplish various applications of the intelligent system. This paper furnishes the comprehensive study on evolution of cellular networks and key enabling technology for 5G. The timedivision multiplexing (TDM) helps in estimating the channel and improves the performance of error rate. Also this research proposes the new methodology of integrating the hybrid deep learning algorithms in channel estimation with massive MIMO models. This paper also presents thebenefits and importance of Massive MIMO and 5G networks. Additionally, a comparative analysis is presented between distant algorithms of artificial intelligence for MIMO.

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Published

2023-05-20

How to Cite

KANAPARTHI, T., & SUNDAR, R. (2023). Review On Channel Estimation In 5g Massive Mimo Using Tdm and Ai. International Journal of Communication and Computer Technologies, 9(1), 15–22. Retrieved from https://ijccts.org/index.php/pub/article/view/133

Issue

Section

Review Article