Multi-beam Transmissions for Blockage Resilience and Reliability in Millimeter-Wave Systems

Aykin, Irmak; Akgun, Berk; Krunz, Marwan

doi:10.1109/jsac.2019.2947938

Cited by 20 publications

(20 citation statements)

References 28 publications

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“…Further, the use of compressed channel probing to predict multiple steering directions in multipath environments have not yet to been explored. Finally, a comparative study of dierent sounding codebooks, e.g., multi-lobe beams [2,11], under array impairments and joint design of the codebook and beam alignment algorithm with other machine learning tools are of interest.…”

Section: Discussionmentioning

confidence: 99%

“…Work in [3] reports a chip-level demonstration of CS based beam alignment with a channel emulator. [15,23] showcase fast alignment by solving CPR problems, while [2,11] design and demonstrate fast beam alignment using multi-lobe sounding beams and combinatorics inspired algorithms. Work in [8] reports experimental work that eectively reduces overhead when more than one spatial stream is used in a hybrid array.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, our goal is to achieve alignment with a compressed number of probings " instead of high speed 4. Such SNR is measured by STF which has consistent denition with the SNR for(2). Although SNR in (3) cannot be directly measured, it should be larger than the STF-SNR since RSS measurements average a sequence of samples.…”

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confidence: 99%

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Han

Domae

Čabrić

2020

Proceedings of the 4th ACM Workshop on Millimeter-Wave Networks and Sensing Systems

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Millimeter-wave communication has the potential to deliver orders of magnitude increases in mobile data rates. A key design challenge is to enable rapid beam alignment with phased arrays. Traditional millimeter-wave systems require a high beam alignment overhead, typically an exhaustive beam sweep, to nd the beam direction with the highest beamforming gain. Compressive sensing is a promising framework to accelerate beam alignment. However, model mismatch from practical array hardware impairments poses a challenge to its implementation. In this work, we introduce a neural network assisted compressive beam alignment method that uses noncoherent received signal strength measured by a small number of pseudorandom sounding beams to infer the optimal beam steering direction. We experimentally showcase our proposed approach with a 60GHz 36-element phased array in a suburban line-of-sight environment. The results show that our approach achieves post alignment beamforming gain within 1dB margin compared to an exhaustive search with 90.2% overhead reduction. Compared to purely model-based noncoherent compressive beam alignment, our method has 75% overhead reduction. CCS CONCEPTS• Hardware ! Beamforming; • Networks ! Link-layer protocols; Physical links.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Han

Domae

Čabrić

2020

Proceedings of the 4th ACM Workshop on Millimeter-Wave Networks and Sensing Systems

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“…The paper "Multi-beam transmissions for blockage resilience and reliability in millimeter-wave systems" by Aykin et al [12] proposes SmartLink, a protocol that enables a multibeam link between the base station and a user. SmartLink relies on a logarithmic-time search algorithm called multilobe beam search (MLBS), which probes several directions simultaneously, using multilobe beam patterns, to discover the dominant angular clusters, and selects the multilobe beam pattern that maximizes the average data rate under blockage for data transmission.…”

Section: B Medium Access Controlmentioning

confidence: 99%

Guest Editorial Millimeter-Wave Networking

Fischione

Koutsonikolas

Rangan

et al. 2019

IEEE J. Select. Areas Commun.

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I. INTRODUCTIOND UE to the increasing density of wireless devices, the ever-growing demands for extremely high data rates, and the spectrum scarcity at the sub-6 GHz bands, making use of the spectrum-rich millimeter-wave (mmWave) frequencies is among the most important technology trends for future wireless networks. The major commercial potential of mmWave networks has led to mmWave being considered a key element for 5G-and-beyond mobile cellular networks, as well as for emerging Gbps-speed Wi-Fi networks based on the IEEE 802.11ad and draft IEEE 802.11ay standards. Despite this intense interest in mmWave communications from both the research community and industry, much fundamental research is still needed, especially at the higher layers of the networking stack.Compared to traditional wireless communication systems, the special propagation features and hardware constraints of mmWave systems introduce many new challenges in the design of efficient and robust medium access control (MAC), routing, and transport protocols [1], [2]. Pioneering research efforts in the past decade have largely focused on the PHY layer and key component technologies, thus demonstrating the feasibility of mmWave links. However, there remain a great number of challenging problems in the upper layers of the

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“…Chiu et al [12] consider noisy interactive analog BA for the single-path channel with the objective of finding a data beam with a target resolution. Aykin et al [17] consider the problem of noisy analog interactive BA in which they provide a multi-lobe beam search (MLBS), BA procedure developed for noiseless setting and investigate its performance in presence of noise. Noh et al [13] develop a BA method for the case of noisy hybrid interactive BA when the channel has single-path and Song et al [14] provide a BA method for the case of noisy hybrid non-interactive BA when the channel has multi-paths.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Beam Alignment for Multi-Path Channels: A Group Testing Viewpoint

Yıldız¹,

Khalili²,

Erkip³

2021

Preprint

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Directional beams are key to enabling wireless communications at high-frequency bands such as millimeterwave and terahertz. Beam alignment (BA) methods allow the transceivers to adjust the directions of these beams in an efficient manner by exploiting the channel sparsity at high frequencies. This paper considers an uplink scenario consisting of a user equipment (UE) and a base station (BS), where the channel between the UE and BS consists of multiple paths. The BS wishes to localize the angle of arrival of each of these paths with a given resolution. At each time slot of the BA, the UE transmits a BA packet and the BS uses hybrid beamforming to scan its angular region. In order to minimize the expected BA duration, a group testing framework is devised, and the associated novel analog and hybrid BA strategies are described. Simulation studies suggest that the proposed schemes outperform the state-of-the-art multipath BA methods.

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Multi-beam Transmissions for Blockage Resilience and Reliability in Millimeter-Wave Systems

Cited by 20 publications

References 28 publications

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Guest Editorial Millimeter-Wave Networking

Hybrid Beam Alignment for Multi-Path Channels: A Group Testing Viewpoint

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