Efficient Channel Estimation for LIS-based Systems

Large Intelligent Surface (LIS)-based wireless communication systems rely on chan-nel estimation techniques to estimate the channel state information (CSI) between the transmitter and receiver. However, channel estimation in LIS-based systems is constrained by high training costs. This paper presents an overview of performance analysis and comparison with existing optimization algorithms, demonstrating comparable performance while significantly reducing computational complexity. Nevertheless, additional research is required to optimize the performance of these techniques for different scenarios and to develop implementation strategies that address the challenges posed by scenarios with high mobility.