The Large Intelligent Surface (LIS) concept has emerged recently as a new paradigm for wireless communication, remote sensing and positioning. It consists of a continuous radiating surface placed relatively close to the users, which is able to communicate with users by independent transmission and reception (replacing base stations). Despite of its potential, there are a lot of challenges from an implementation point of view, with the interconnection data-rate and computational complexity being the most relevant. Distributed processing techniques and hierarchical architectures are expected to play a vital role addressing this while ensuring scalability. In this paper we perform algorithm-architecture codesign and analyze the hardware requirements and architecture trade-offs for a discrete LIS to perform uplink detection. By doing this, we expect to give concrete case studies and guidelines for efficient implementation of LIS systems.
@article{arxiv.2001.04937,
title = {Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation},
author = {Jesus Rodriguez Sanchez and Ove Edfors and Fredrik Rusek and Liang Liu},
journal= {arXiv preprint arXiv:2001.04937},
year = {2020}
}