Prediction of Low Estimation Error for 5G CNN MIMO Channel
Avni Singhal, B. Priyalakshmi, Prem Sagar, Akshat Vikram Singh · 2024
Fifth-generation (5G) wireless technology is being used widely worldwide. There are 5G networks and others to meet the high data consumption of users. In order to enhance performance, they employ OFDM (Orthogonal Frequency Duplexing Method) and MIMO (Multiple-Input and Multiple-Output) techniques, which call for reliable and effective channel estimation algorithms. Communication networks are highly dependent on channel estimation, which determines network performance. Traditional channel estimation methods do not work in the unpredictability andcomplexity of today's wireless communication environments, so it makes sense to use a deep neural network. Deep learning's sophisticated feature has shed light on several ways to improve communication security and lower the computing cost of the 5G network. This study examines CNN's use of channel estimation in MIMO communication systems. It is being considered whether using CNN can enhance channel estimate.