Large Intelligent Surfaces With Channel Estimation Overhead: Achievable Rate and Optimal Configuration

Large intelligent surfaces (LIS) present a promising new technology for enhancing the performance of wireless communication systems. Realizing the gains of LIS requires accurate channel knowledge, and in practice the channel estimation overhead can be large due to the passive nature of LIS. Here, we...

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Bibliographic Details
Published in:IEEE wireless communications letters 2021-05, Vol.10 (5), p.986-990
Main Authors: Kundu, Neel Kanth, Mckay, Matthew R.
Format: Article
Language:English
Subjects:
achievable rate
Channel estimation
Data communication
Heating systems
Large intelligent surface
New technology
Optimization
Rayleigh channels
Signal to noise ratio
SISO (control systems)
Training
Upper bound
Upper bounds
Wireless communication systems
Wireless communications
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Summary:Large intelligent surfaces (LIS) present a promising new technology for enhancing the performance of wireless communication systems. Realizing the gains of LIS requires accurate channel knowledge, and in practice the channel estimation overhead can be large due to the passive nature of LIS. Here, we study the achievable rate of a LIS-assisted single-input single-output communication system, accounting for the pilot overhead of a least-squares channel estimator. We demonstrate that there exists an optimal K^{*} , which maximizes achievable rate by balancing the power gains offered by LIS and the channel estimation overhead. We present analytical approximations for K^{*} , based on maximizing an analytical upper bound on average achievable rate that we derive, and study the dependencies of K^{*} on statistical channel and system parameters.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2021.3053593