Performance Analysis of Active Large Intelligent Surfaces (LISs): Uplink Spectral Efficiency and Pilot Training
Minchae Jung, Walid Saad, and Gyuyeol Kong

TL;DR
This paper analyzes the uplink spectral efficiency of large intelligent surfaces (LISs), focusing on the effects of pilot contamination, and derives optimal training lengths and device counts to maximize performance in practical scenarios.
Contribution
It provides an asymptotic analysis of LIS uplink spectral efficiency considering pilot contamination and derives optimal pilot training and device scheduling strategies.
Findings
Spectral efficiency is limited by pilot contamination and LOS interference.
Optimal pilot training length improves spectral efficiency close to brute-force solutions.
Theoretical bounds closely match simulation results for large antenna arrays.
Abstract
Large intelligent surfaces (LISs) constitute a new and promising wireless communication paradigm that relies on the integration of a massive number of antenna elements over the entire surfaces of man-made structures. The LIS concept provides many advantages, such as the capability to provide reliable and space-intensive communications by effectively establishing line-of-sight (LOS) channels. In this paper, the system spectral efficiency (SSE) of an uplink LIS system is asymptotically analyzed under a practical LIS environment with a well-defined uplink frame structure. In order to verify the impact on the SSE of pilot contamination, the SSE of a multi-LIS system is asymptotically studied and a theoretical bound on its performance is derived. Given this performance bound, an optimal pilot training length for multi-LIS systems subjected to pilot contamination is characterized and,…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Indoor and Outdoor Localization Technologies · UAV Applications and Optimization
