Frequency-selective massive MIMO channel estimation and feedback in angle-time domain

Nasser, Ahmed; Elsabrouty, Maha

doi:10.1109/iscc.2016.7543870

Cited by 9 publications

(19 citation statements)

References 21 publications

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“…In the proposed scheme, each UE independently estimates its best AoA-AoD pair over the reserved beacon slots (see Section III), during which the BS periodically broadcasts its probing time-domain sequences. We exploit the sparsity of the mmWave channel in both angle and delay domains [26] to reduce the training overhead. We also pose the estimation of the strongest AoA-AoD pair as a Non-Negative Least Squares (NNLS) problem, which can be efficiently solved by standard techniques.…”

Section: B Contributionsmentioning

confidence: 99%

“…The time scale over which the PSF is time-invariant is very large with respect to the inverse of the signaling bandwidth, justifying the locally WSS assumption. Practical channel measurements have shown that only a few tapped delay elements are enough to represent the sparse channel [7,8,26]. This is illustrated in Fig.…”

Section: A Channel Second-order Statisticsmentioning

confidence: 99%

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Efficient Beam Alignment for Millimeter Wave Single-Carrier Systems With Hybrid MIMO Transceivers

Song

Haghighatshoar

Caire

2019

IEEE Trans. Wireless Commun.

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Communication at millimeter wave (mmWave) bands is expected to become a key ingredient of next generation (5G) wireless networks. Effective mmWave communications require fast and reliable methods for beamforming at both the User Equipment (UE) and the Base Station (BS) sides, in order to achieve a sufficiently large Signal-to-Noise Ratio (SNR) after beamforming. We refer to the problem of finding a pair of strongly coupled narrow beams at the transmitter and receiver as the Beam Alignment (BA) problem. In this paper, we propose an efficient BA scheme for single-carrier mmWave communications.In the proposed scheme, the BS periodically probes the channel in the downlink via a pre-specified pseudo-random beamforming codebook and pseudo-random spreading codes, letting each UE estimate the Angle-of-Arrival / Angle-of-Departure (AoA-AoD) pair of the multipath channel for which the energy transfer is maximum. We leverage the sparse nature of mmWave channels in the AoA-AoD domain to formulate the BA problem as the estimation of a sparse non-negative vector. Based on the recently developed Non-Negative Least Squares (NNLS) technique, we efficiently find the strongest AoA-AoD pair connecting each UE to the BS. We evaluate the performance of the proposed scheme under a realistic channel model, where the propagation channel consists of a few multipath scattering components each having different delays, AoAs-AoDs, and Doppler shifts. The channel model parameters are consistent with experimental channel measurements. Simulation results indicate that the proposed method is highly robust to fast channel variations caused by the large Doppler spread between the multipath components.Furthermore, we also show that after achieving BA the beamformed channel is essentially frequency-flat, such that single-carrier communication needs no equalization in the time domain.

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Section: B Contributionsmentioning

confidence: 99%

Section: A Channel Second-order Statisticsmentioning

confidence: 99%

Efficient Beam Alignment for Millimeter Wave Single-Carrier Systems With Hybrid MIMO Transceivers

Song

Haghighatshoar

Caire

2019

IEEE Trans. Wireless Commun.

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“…The angular domain is a virtual representation in which the arrived and the transmitted paths appear in clusters. However, working in both angle and time domains, namely, angle–time domain, has the potential of representing the channel with a minimum number of non‐zero coefficients, and hence the required pilots for channel estimation and feedback can be significantly reduced [10, 11].…”

Section: Introductionmentioning

confidence: 99%

“…Utilising the sparsity property in the angle–time domain has rarely been considered in the literature, e.g. [3, 11].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we propose a channel estimation algorithm to exploit the sparsity structure in the angle–time domain for a frequency‐selective 3D orthogonal frequency division multiplexing (OFDM) massive MIMO system operating in the FDD mode, where a UPA is installed at the BS and each user is equipped with a uniform linear array (ULA). In our scheme, named AMP‐ADM, the multiple approximate message passing (M‐AMP) algorithm proposed in [11] is combined with the alternative direction method technique (ADM) [15, 16] to improve the overall estimation efficiency and enhance the convergence behaviour. As a first step, the proposed AMP‐ADM algorithm is applied to the case of conventional FDD estimation mode, where the channel is estimated at the individual UE side.…”

Section: Introductionmentioning

confidence: 99%

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Alternative direction for 3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation and feedback

Nasser¹,

Elsabrouty²,

Muta

2018

IET Communications

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Compressed channel estimation for FDD massive MIMO systems without prior knowledge of sparse channel model

Azizipour

Mohamed-pour

2019

IET Communications

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Frequency-selective massive MIMO channel estimation and feedback in angle-time domain

Cited by 9 publications

References 21 publications

Efficient Beam Alignment for Millimeter Wave Single-Carrier Systems With Hybrid MIMO Transceivers

Efficient Beam Alignment for Millimeter Wave Single-Carrier Systems With Hybrid MIMO Transceivers

Alternative direction for 3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation and feedback

Compressed channel estimation for FDD massive MIMO systems without prior knowledge of sparse channel model

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