EEG Transmission Over 6G Using Optimized Pilot-Based Channel Estimation

Electroencephalogram signals are crucial for telemedicine applications, demanding reliable and real-time transmission. This paper proposes an efficient EEG signal transmission system leveraging the high bandwidth and low latency capabilities of 6G wireless networks. Accurate channel estimation is vital for reliable data recovery in wireless EEG transmission. This work employs a pilot-based channel estimation technique optimized for EEG signal characteristics. By optimizing pilot symbol placement and utilizing advanced estimation algorithms, the proposed system achieves high channel estimation accuracy, leading to improved signal quality at the receiver. Simulations demonstrate the effectiveness of the proposed system in achieving reliable and efficient EEG signal transmission over 6G networks, paving the way for enhanced telemedicine applications.