Sparse RIS in Multi User MIMO Wireless System

Aurangzeb, Muhammad Haroon; Akram, Faisal; Rashid, Imran; Ahmed, Attiq

doi:10.1109/icosst57195.2022.10016816

Cited by 1 publication

(1 citation statement)

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“…However, large number of RIS elements makes the channel dimension much larger and results in a sharp increase in the pilot overhead of channel estimation. To reduce the pilot overhead we proposed a sparse RIS in [20] by randomly selecting elements from the RIS structure using a Gaussian distribution in the uniform planar array (UPA). To the best of our knowledge, to reduce the pilot overhead in RIS-aided system, the pilot optimization technique has not yet been studied.…”

Section: Introductionmentioning

confidence: 99%

Pilots Optimization and Surface Area Effects on Channel Estimation in RIS Aided MIMO System

Aurangzeb¹,

Akram²,

Rashid³

et al. 2023

RADIOENGINEERING

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Reconfigurable intelligent surface (RIS) is an emerging tool for 5G and wireless communication technologies that have attracted researchers' interest. However, the passive nature and the high number of reflecting elements in RIS result in a large pilot overhead, which makes channel estimation challenging in multi-user multiple-input multipleoutput (MU-MIMO) wireless communication systems. Previous works have shown an improvement in reducing the pilot overhead by exploiting the structured sparsity in rows and columns, which was further improved by compensating offset among users in angular cascaded channels of RIS aided system. To further reduce the pilot overhead, we analyze and adopt coherence-optimized pilots for channel estimation and propose an algorithm to analyze the combined effect of low-coherence pilots with an optimum size of RIS elements for a given number of users, transmit antennas, and normalized error threshold performance. The simulation results illustrate better NMSE performance as compared to contemporary techniques.

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Section: Introductionmentioning

confidence: 99%