Review on Interference Cancellation in MIMO Receiver

The signal processing in orthogonal frequency division multiplexing and the effect of channel interference are presented in this paper. We've also talked about different multiplexing techniques like frequency division multiplexing and time division multiplexing. Also, several researchers' work in the field of interference cancellation

Deep Learning Based Channel Estimation in Data Driven MIMO Receiver

OFDM (orthogonal frequency division multiplexing) is a wireless network methodology that sends multiple data streams across a particular channel while effectiently handling inter-symbol interference and enhancing frequency band available. And since the antenna is sending signals, evaluating the noise in a noisy channel is essential. This research aims into compressed sensing (CS) as a way to improve throughput and BER performance by transmitting additional data bits within every subcarrier frame whilst still limiting detector unpredictability. The Neuro-LS methodology is used in this study to generate a soft trellis decoding algorithm through channel estimation. Trellis decoding performs better BER, and DNN relying channel estimation outperforms BER, according to the findings

Review on Channel Estimation in OFDM

OFDM is a wireless connectivity technique that sends multiple data streams over a particular channel while efficiently handling inter-symbol interference and boosting the frequency and bandwidth available.  Since the antenna is used for signal transmission, predicting the noise present  in a noisy channel is essential. In noisy channels, the evaluation method for estimating channel can be used to explore the impact of noise on transmitted signal. Orthogonal frequency division multiplexing (OFDM) is important in wireless communication for its elevated transmission rate. Thus this paper is based on the analysis of Orthogonal frequency division multiplexing and modulation techniques in multiple input multiple output (MIMO) user