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.

中文翻译：

---

大型智能表面实现的处理分布和架构权衡

大智能表面 (LIS) 概念最近作为无线通信、遥感和定位的新范例出现。它由一个相对靠近用户的连续辐射面组成，能够通过独立的发射和接收（代替基站）与用户进行通信。尽管它具有潜力，但从实现的角度来看仍然存在很多挑战，其中互连数据速率和计算复杂性最为相关。分布式处理技术和分层架构有望在解决此问题的同时确保可扩展性方面发挥重要作用。在本文中，我们执行算法-架构协同设计，并分析离散 LIS 执行上行链路检测的硬件要求和架构权衡。通过做这个，