Study on Channel Estimation in Time-Varing Amplify and Forward Relay Networks

Wang, Xin; Yang, Xiao; Wang, You Zheng

doi:10.4028/www.scientific.net/amm.519-520.934

Cited by 1 publication

(1 citation statement)

References 7 publications

(16 reference statements)

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“…However, this algorithm introduces a processing delay of at least one Orthogonal Frequency Division Multiplexing (OFDM) symbol. The second type of estimators adopt the basis expansion model (BEM) [6] to convert the problem of estimating the channel impulse response (CIR) to that of estimating the basis function weights [7]. For example, in [7], the channel estimation and Doppler mitigation are jointly considered by exploiting the correlations in time and frequency domains, and the basis function coefficients are estimated via the linear minimum mean squared error (LMMSE) approach.…”

Section: Introductionmentioning

confidence: 99%

Angular-Domain Selective Channel Tracking and Doppler Compensation for High-Mobility mmWave Massive MIMO

Liu

Zhang

et al. 2019

Preprint

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In this paper, we consider a mmWave massive multiple-input multiple-output (MIMO) communication system with one static base station (BS) serving a fast-moving user, both equipped with a very large array. The transmitted signal arrives at the user through multiple paths, each with a different angleof-arrival (AoA) and hence Doppler frequency offset (DFO), thus resulting in a fast time-varying multipath fading MIMO channel. In order to mitigate the Doppler-induced channel aging for reduced pilot overhead, we propose a new angular-domain selective channel tracking and Doppler compensation scheme at the user side. Specifically, we formulate the joint estimation of partial angular-domain channel and DFO parameters as a dynamic compressive sensing (CS) problem. Then we propose a Doppler-aware-dynamic variational Bayesian inference (DD-VBI) algorithm to solve this problem efficiently. Finally, we propose a practical DFO compensation scheme which selects the dominant paths of the fast time-varying channel for DFO compensation and thereby converts it into a slow time-varying effective channel. Compared with the existing methods, the proposed scheme can enjoy the huge array gain provided by the massive MIMO and also balance the tradeoff between the CSI signaling overhead and spatial multiplexing gain. Simulation results verify the advantages of the proposed scheme over various baseline schemes.

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Section: Introductionmentioning

confidence: 99%