Beamspace aware adaptive channel estimation for single-carrier time-varying massive MIMO channels

Güvensen, Gökhan M.; Ayanoğlu, Ender

doi:10.1109/icc.2017.7996672

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…We name these channels doubly dispersive since the channel has time dispersion due to its multi-path nature and frequency dispersion due to its time variation. In [83], a single-carrier massive MIMO system in doubly dispersive channel has been considered. It is assumed that this system is operating in millimeter wave band and TDD mode.…”

Section: Time Varying Channelsmentioning

confidence: 99%

A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

Mokhtari

Sabbaghian

Dinis

2019

Sensors

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Massive multiple input multiple output (MIMO) technology is one of the promising technologies for fifth generation (5G) cellular communications. In this technology, each cell has a base station (BS) with a large number of antennas, allowing the simultaneous use of the same resources (e.g., frequency and/or time slots) by multiple users of a cell. Therefore, massive MIMO systems can bring very high spectral and power efficiencies. However, this technology faces some important issues that need to be addressed. One of these issues is the performance degradation due to hardware impairments, since low-cost RF chains need to be employed. Another issue is the channel estimation and channel aging effects, especially in fast mobility environments. In this paper we will perform a comprehensive study on these two issues considering two of the most promising candidate waveforms for massive MIMO systems: Orthogonal frequency division multiplexing (OFDM) and single-carrier frequency domain processing (SC-FDP). The studies and the results show that hardware impairments and inaccurate channel knowledge can degrade the performance of massive MIMO systems extensively. However, using suitable low complex estimation and compensation techniques and also selecting a suitable waveform can reduce these effects.

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Section: Time Varying Channelsmentioning

confidence: 99%

A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

Mokhtari

Sabbaghian

Dinis

2019

Sensors

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“…In [20], You et al proposed adjustable phase shift pilots for time-varying channel acquisition in a massive MIMO-OFDM system. In [22], Guvensen et al gave a pre-beamformer design method for the spatially correlated time-varying wideband MIMO channels under the assumption that the channel is a stationary Gauss-Markov random process. Hu et al considered the angle-domain Doppler shifts compensation for high-mobility massive MIMO communication in [23].…”

Section: Introductionmentioning

confidence: 99%

A New Path Division Multiple Access for the Massive MIMO-OTFS Networks

Zhang

Gao

et al. 2020

Preprint

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This paper focuses on a new path division multiple access (PDMA) for both uplink (UL) and downlink (DL) massive multiple-input multiple-output network over a high mobility scenario, where the orthogonal time frequency space (OTFS) is adopted. First, the 3D UL channel model and the received signal model in the angle-delay-Doppler domain are studied. Secondly, the 3D-Newtonized orthogonal matching pursuit algorithm is utilized for the extraction of the UL channel parameters, including channel gains, directions of arrival, delays, and Doppler frequencies, over the antenna-time-frequency domain.Thirdly, we carefully analyze energy dispersion and power leakage of the 3D angle-delay-Doppler channels. Then, along UL, we design a path scheduling algorithm to properly assign angle-domain resources at user sides and to assure that the observation regions for different users do not overlap over the 3D cubic area, i.e., angle-delay-Doppler domain. After scheduling, different users can map their respective data to the scheduled delay-Doppler domain grids, and simultaneously send the data to base station (BS) without inter-user interference in the same OTFS block. Correspondingly, the signals at desired grids within the 3D resource space of BS are separately collected to implement the 3D channel estimation and maximal ratio combining-based data detection over the angle-delay-Doppler domain.Then, we construct a low complexity beamforming scheme over the angle-delay-Domain domain to achieve inter-user interference free DL communication. Simulation results are provided to demonstrate the validity of our proposed unified UL/DL PDMA scheme.M. Li, S. Zhang are with the

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“…In [22], the authors assumed that the channel was a stationary Gauss-Markov random process, and a reduced rank Kalman filtering based prebeamformer design method is proposed for the TDD systems.…”

Section: Introductionmentioning

confidence: 99%

Time-Varying Downlink Channel Tracking for Quantized Massive MIMO Networks

Zhang

et al. 2019

Preprint

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This paper proposes a Bayesian downlink channel estimation algorithm for time-varying massive MIMO networks. In particular, the quantization effects at the receiver are considered. In order to fully exploit the sparsity and time correlations of channels, we formulate the time-varying massive MIMO channel as the simultaneously sparse signal model. Then, we propose a sparse Bayesian learning (SBL) framework to learn the model parameters of the sparse virtual channel. To reduce complexity, we employ the expectation maximization (EM) algorithm to achieve the approximated solution. Specifically, the factor graph and the general approximate message passing (GAMP) algorithms are used to compute the desired posterior statistics in the expectation step, so that high-dimensional integrals over the marginal distributions can be avoided. The non-zero supporting vector of a virtual channel is then obtained from channel statistics by a k-means clustering algorithm. After that, the reduced dimensional GAMPbased scheme is applied to make the full use of the channel temporal correlation so as to enhance the virtual channel tracking accuracy. Finally, we demonstrate the efficacy of the proposed schemes through simulations.

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Beamspace aware adaptive channel estimation for single-carrier time-varying massive MIMO channels

Cited by 9 publications

References 15 publications

A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

A New Path Division Multiple Access for the Massive MIMO-OTFS Networks

Time-Varying Downlink Channel Tracking for Quantized Massive MIMO Networks

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