Coordinated Uplink Precoding for Spatially Consistent mmWave Channel Covariance Measurements

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Date
2020-05
Major/Subject
Mcode
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Language
en
Pages
5
Series
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020, Signal processing advances in wireless communications
Abstract
We are interested in deducing whether two users in a cellular system are at nearby physical locations from measuring similarity of their covariance matrices at a base station. This becomes challenging in multiple-input-multiple-output mmWave channels, as the semi-optical nature of mmWave radio propagation gives rise to non-Kronecker correlation. Hence, the estimated BS covariance matrix depends on the UE pilot beamformer, and moreover, on the direction of movement in the radio environment. A coordinated UE pilot transmission approach is needed to make measured covariances spatially consistent. We formulate the UE pilot beamformer selection problem as an optimization problem aiming to preserve the spatial consistency of a set of UEs moving in the same large-scale radio environment. We use the collinearity matrix distance to measure the similarity of the BS covariance matrices of UEs in the radio environment. Covariance matrix and instantaneous channel state based UE pilot beamformers with different ranks are considered. Simulations are used to evaluate the spatial consistency provided by coordinated uplink precoding methods. Depending on the expected signal-To-noise ratio, there is an optimal rank for the UE pilot transmission, which maximizes the similarity between covariances estimated from transmissions of different UEs in the same large-scale fading environment.
Description
| openaire: EC/H2020/813999/EU//WINDMILL
Keywords
Kronecker model, massive MIMO, mmWave, MPCs model, UE pilot beamformer
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Citation
Al-Tous , H , Kazemi , P & Tirkkonen , O 2020 , Coordinated Uplink Precoding for Spatially Consistent mmWave Channel Covariance Measurements . in 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020 . , 9154333 , Signal processing advances in wireless communications , IEEE , IEEE International Workshop on Signal Processing Advances in Wireless Communications , Atlanta , Georgia , United States , 26/05/2020 . https://doi.org/10.1109/SPAWC48557.2020.9154333