Location-aided mm-wave channel estimation for vehicular communication

Garcia, Nil; Wymeersch, Henk; Ström, Erik G.; Slock, Dirk

doi:10.1109/spawc.2016.7536855

Cited by 126 publications

(104 citation statements)

References 9 publications

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“…where the superscript BS and UE are used to indicate the observation at the BS and UE respectively. In this paper, we adopt a uniform bounded error model for the location estimation error [23], [28]. We assume that all the estimates lie within a disk centered on the estimated location.…”

Section: A Exploiting Location Informationmentioning

confidence: 99%

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Location-Aware Coordinated Beam Alignment in mmWave Communication

Orikumhi

Kang

Park

et al. 2018

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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Beam alignment is required in millimeter wave communication to ensure high data rate transmission. However, with narrow beamwidth in massive MIMO, beam alignment could be computationally intensive due to the large number of beam pairs to be measured. In this paper, we propose an efficient beam alignment framework by exploiting the location information of the user equipment (UE) and potential reflecting points. The proposed scheme allows the UE and the base station to perform a coordinated beam search from a small set of beams within the error boundary of the location information, the selected beams are then used to guide the search of future beams. To further reduce the number of beams to be searched, we propose an intelligent search scheme within a small window of beams to determine the direction of the actual beam. The proposed beam alignment algorithm is verified on simulation with some location uncertainty.

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Section: A Exploiting Location Informationmentioning

confidence: 99%

“…By using the properties defined in Lemma 1 and substituting (71), (73), (83) and (84) into (82) we obtain 28 where Im{x} is the imaginary part of the complex variable x.…”

mentioning

confidence: 99%

Location-Aware Coordinated Beam Alignment in mmWave Communication

Orikumhi

Kang

Park

et al. 2018

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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“…In [15]- [19], the temporal variation of AoA/AoD over the considered period of time is assumed to follow a Markov process, and the AoA's and AoD's deviations between two consecutive channel realizations are modeled as small Gaussian random variables, based on which various Kalman filter-based beam tracking algorithms have been developed. It is also worth mentioning that the authors in [20]- [23] have proposed to employ the mobile users' location and trajectory information to reduce the beam training overhead. However, these strategies are limited to vehicular networks and not universal.…”

Section: Introductionmentioning

confidence: 99%

Beam Allocation for Millimeter-Wave MIMO Tracking Systems

Zhang

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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In this paper, we propose a new beam allocation strategy aiming to maximize the average successful tracking probability (ASTP) of time-varying millimeter-wave MIMO systems. In contrast to most existing works that employ one transmitting-receiving (Tx-Rx) beam pair once only in each training period, we investigate a more general framework, where the Tx-Rx beam pairs are allowed to be used repeatedly to improve the received signal powers in specific directions. In the case of orthogonal Tx-Rx beam pairs, a power-based estimator is employed to track the time-varying AoA and AoD of the channel, and the resulting training beam pair sequence design problem is formulated as an integer nonlinear programming (I-NLP) problem. By dividing the feasible region into a set of subregions, the formulated I-NLP is decomposed into a series of concave sub I-NLPs, which can be solved by recursively invoking a nonlinear branch-and-bound algorithm. To reduce the computational cost, we relax the integer constraints of each sub I-NLP and obtain a low-complexity solution via solving the Karush-Kuhn-Tucker conditions of their relaxed problems. For the case when the Tx-Rx beam pairs are overlapped in the angular space, we estimate the updated AoA and AoD via an orthogonal matching pursuit (OMP) algorithm. Moreover, since no explicit expression for the ASTP exists for the OMP-based estimator, we derive a closed-form lower bound of the ASTP, based on which a favorable beam pair allocation strategy can be obtained. Numerical results demonstrate the superiority of the proposed beam allocation strategy over existing benchmarks. Index TermsMillimeter wave, time-varying channel, beam training, beam tracking, training beam sequence design.

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“…A common procedure for single-anchor positioning involves sweeping at the transmitter (Tx) a set of beams in a codebook, assuming no prior knowledge of the user's position [8], [9]. In several cases, however, prior knowledge of the user's position or channel parameters may be available through the Global Navigation Satellite System, prior training phases, tracking, or known user distributions [10]. Based on such prior knowledge, optimal beamforming design for single-anchor positioning has been recently treated in the literature.…”

Section: Introductionmentioning

confidence: 99%

5G Downlink Multi-Beam Signal Design for LOS Positioning

Kakkavas

Seco‐Granados

Wymeersch

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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In this work, we study optimal transmit strategies for minimizing the positioning error bound in a line-of-sight scenario, under different levels of prior knowledge of the channel parameters. For the case of perfect prior knowledge, we prove that two beams are optimal, and determine their beam directions and optimal power allocation. For the imperfect prior knowledge case, we compute the optimal power allocation among the beams of a codebook for two different robustness-related objectives, namely average or maximum squared position error bound minimization. Our numerical results show that our lowcomplexity approach can outperform existing methods that entail higher signaling and computational overhead.

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Location-aided mm-wave channel estimation for vehicular communication

Cited by 126 publications

References 9 publications

Location-Aware Coordinated Beam Alignment in mmWave Communication

Location-Aware Coordinated Beam Alignment in mmWave Communication

Beam Allocation for Millimeter-Wave MIMO Tracking Systems

5G Downlink Multi-Beam Signal Design for LOS Positioning

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