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The Large Intelligent Surface (LIS) is a promising technology in the areas ofwireless communication, remote sensing and positioning. It consists of acontinuous radiating surface located in the proximity of the users, with thecapability to communicate by transmission and reception (replacing basestations). Despite of its potential, there are numerous challenges fromimplementation point of view, being the interconnection data-rate,computational complexity, and storage the most relevant ones. In order toaddress those challenges, hierarchical architectures with distributedprocessing techniques are envisioned to to be relevant for this task, whileensuring scalability. In this work we perform algorithm-architecture codesignto propose two distributed interference cancellation algorithms, and atree-based interconnection topology for uplink processing. We also analyze theperformance, hardware requirements, and architecture tradeoffs for a discreteLIS, in order to provide concrete case studies and guidelines for efficientimplementation of LIS systems.

Distributed and Scalable Uplink Processing for LIS: Algorithm, Architecture, and Design Trade-offs