Low Complexity and High Performance in Selective LIS Systems

EasyChair Preprint 15860

Abstract

Large Intelligent Surfaces (LIS) play a crucial role in enhancing wireless communications, but due to their inherent complexity, they also face significant challenges. This study introduces selective LIS technology, which reduces complexity by activating only a portion of the antennas, thus preventing performance degradation. Simulation results indicate that increasing the number of active antennas reduces performance loss and strikes an optimal balance between efficiency and performance. Furthermore, combining selective LIS technology with LDPC codes improves this balance, offering a viable solution for next-generation wireless systems. These findings confirm the effectiveness of selective LIS as an efficient alternative to full LIS deployment in complex wireless communication environments.

Keyphrases: Full LIS, LDPC, Selective LIS, low complexity

@booklet{EasyChair:15860,
  author    = {Ali Gashtasbi and Mario Marques da Silva and Rui Dinis},
  title     = {Low Complexity and High Performance in Selective LIS Systems},
  howpublished = {EasyChair Preprint 15860},
  year      = {EasyChair, 2025}}