Multi-User Multi-Stream mmWave WLANs With Efficient Path Discovery and Beam Steering

Ghasempour, Yasaman; Haider, Muhammad Kumail; Cordeiro, Carlos; Knightly, Edward W.

doi:10.1109/jsac.2019.2947820

Cited by 13 publications

(7 citation statements)

References 28 publications

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“…In Figure 3 (c), we compare the required number of measurements 8 as a function of array size for the RSS-MP and proposed algorithms using experimental and simulation data. The simulation used the same PN sounding AWV realization as in the experiment, but did not include array hardware impairment.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…[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. Finally, some prototypes also rely on the side information, e.g., sub-6 GHz [14,18] and visible light [10] measurements, for mmW beam alignment.…”

Section: Related Workmentioning

confidence: 99%

“…Scalars, vectors, and matrices are denoted by non-bold, bold lower-case, and bold upper-case letters, respectively. The (8,9)-th element of A is denoted by [A] 8,9 . Similarly, the 8-th element of a set A is denoted by [A] 8 .…”

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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: Experiments Resultsmentioning

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-user multi-stream mmWave WLANs with efficient path discovery and beam steering" by Ghasempour et al [10] presents a novel method for fast beam search, leveraging both channel sparsity and fast sampling to rapidly locate optimal beams. The algorithm is validated on a 60-GHz testbed with 802.11ay nodes to demonstrate robustness to blockage.…”

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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“…Beamforming becomes more challenging when using several access points shared among multiple users in mmWave wireless local networks. [9,10,11,12]. As such networks grow in scale to meet the increasing demand for capacity in indoor places such as classrooms, station halls, etc.…”

Section: Introductionmentioning

confidence: 99%

Interference-Aware Sector Design in IEEE 802.11ad Networks

Gaillard

Jakllari

2021

2021 International Conference on Computer Communications and Networks (ICCCN)

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IEEE 802.11ad is the first standard capable of delivering Gigabit capacities in a WLAN setting by exploiting mmWave frequencies. Its key innovation is the Sector Level Sweep, a procedure for establishing directional links over mmWave by sweeping over a pre-computed set of phased-array antenna sectors. Crucial to the performance of IEEE 802.11ad networks and involving an exponentially-large search space, the sector design is left open to implementation. As a result, several sector designs have been introduced that are aimed at maximizing the SNR of a given direct link while ignoring the interference projected to other links. If highly competitive in small deployments, a sector design that does not take interference into account can lead to poor overall performance in multi-AP deployments.In this article we present IASSEN, the first approach to Interference-Aware Sector deSign in IEEE 802.11ad Networks. Anchored in an intimate understanding of COTS 802.11ad hardware, IASSEN models the SINR for each network link as function of the low-level parameters driving the sector design. After modeling the problem of interference-aware sector design as an integer nonlinear programming problem, IASSEN introduces a heuristic carefully combining a quick convergence to a local optimum with an approach for avoiding poor local optimum points. A simulation study using measurement-based and realistic sector patterns shows that IASSEN improves overall network performance by as much as 100% when compared to state-of-the-art approaches that do not take interference into account.

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Multi-User Multi-Stream mmWave WLANs With Efficient Path Discovery and Beam Steering

Cited by 13 publications

References 28 publications

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Guest Editorial Millimeter-Wave Networking

Interference-Aware Sector Design in IEEE 802.11ad Networks

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