Compressive Millimeter-Wave Sector Selection in Off-the-Shelf IEEE 802.11ad Devices

Steinmetzer, Daniel; Wegemer, Daniel; Schulz, Matthias; Widmer, Joerg; Hollick, Matthias

doi:10.1145/3143361.3143384

Cited by 111 publications

(101 citation statements)

References 30 publications

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“…Our results show that our heuristics, specially Resched, are able to provide near-optimal solutions that are, with respect to the distance between upper and lower bounds, 40-80% closer to the lower bound. Hence, since Interference is as measured in [55] and rates depend on distance [57]. CDF of downlink rates from the MBS whose links are used to relay traffic (top); and usage of direct and relay links (bottom).…”

Section: Lessons Learnt and Discussionmentioning

confidence: 99%

“…While this mmWave device is for indoor use and mmWave backhaul has somewhat different characteristics (more refined beam-patterns, higher rates, ...), the underlying RF technology and specifically the phased arrays are similar enough for these measurements to give meaningful results. The exact shape of these beam-patterns is available at [55] and the data can be downloaded at [56]. In order to build the real binary interference map we need to know which beam-pattern each µBS will use with each of its neighbors.…”

Section: The Achieved Signal-to-noise Ratio Is Snr = 10mentioning

confidence: 99%

“…19. Measured beam-patterns in [55] from commercial off-the-shelf mmWave devices. Resched behaves in a similar way in presence or absence of interference.…”

Section: Interference and Spectrum Reusementioning

confidence: 99%

“…Finally, we provide some results from scenarios with realistic measured beam-patterns and data rates from mmWave devices. Here, the interference map is based on real shapes of beam-patterns for cheap commercial antennas [55], [56] and the makespan directly depends on real rates observed in 802.11-based mmWave devices [57]. In Fig.…”

Section: Real-measured Interference and Link Ratesmentioning

confidence: 99%

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Optimizing mmWave Wireless Backhaul Scheduling

Arribas

Anta

Kowalski

et al. 2020

IEEE Trans. on Mobile Comput.

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Millimeter wave (mmWave) communication not only provides ultra-high speed radio access but is also ideally suited for efficient and flexible wireless backhauling. Specifically for dense deployments, a mmWave macro base station (MBS) that serves a large number of mmWave micro base stations (µBSs) is much more cost effective than legacy cellular architectures which connect µBSs to the core network through fibers. In addition, µBSs can cooperate with each other by acting as relay nodes. The directional nature of mmWave communication allows for spatial reuse, even in the presence of interference, which can be exploited to optimize mmWave wireless backhaul performance. The optimization opportunistically prioritizes the use of good connections at the MBS and further leverages compact and concurrent transmissions between µBS. Relays and directional antennas speed up communication, but increase the complexity of the scheduling problem. In this work, we study the mmWave backhaul scheduling problem and derive an MILP formulation for it as well as upper and lower bounds. We prove that the problem is NP-hard and can be approximated, but only if interference is negligible. By means of numerical simulations, we compare theoretical results with heuristics in small system sizes. Results validate the analysis and demonstrate the high performance of our heuristics in realistic cellular settings.

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Section: Lessons Learnt and Discussionmentioning

confidence: 99%

Section: The Achieved Signal-to-noise Ratio Is Snr = 10mentioning

confidence: 99%

“…19. Measured beam-patterns in [55] from commercial off-the-shelf mmWave devices. Resched behaves in a similar way in presence or absence of interference.…”

Section: Interference and Spectrum Reusementioning

confidence: 99%

Section: Real-measured Interference and Link Ratesmentioning

confidence: 99%

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Optimizing mmWave Wireless Backhaul Scheduling

Arribas

Anta

Kowalski

et al. 2020

IEEE Trans. on Mobile Comput.

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“…The scientific work described in 19 papers is categorized as measurements [4,7,8,17,19,[25][26][27][28][29][30][31][32][33][34][35][36][37][38]. Finally, 8 papers are classified as miscellaneous [9,11,14,18,20,22,23,42].…”

Section: Grouping Of Artifactsmentioning

confidence: 99%

A Survey on Artifacts from CoNEXT, ICN, IMC, and SIGCOMM Conferences in 2017

Flittner

Mahfoudi

Saucez

et al. 2018

SIGCOMM Comput. Commun. Rev.

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Reproducibility of artifacts is a cornerstone of most scientific publications. To improve the current state and strengthen ongoing community efforts towards reproducibility by design, we conducted a survey among the papers published at leading ACM computer networking conferences in 2017: CoNEXT, ICN, IMC, and SIGCOMM. The objective of this paper is to assess the current state of artifact availability and reproducibility based on a survey. We hope that it will serve as a starting point for further discussions to encourage researchers to ease the reproduction of scientific work published within the SIGCOMM community. Furthermore, we hope this work will inspire program chairs of future conferences to emphasize reproducibility within the ACM SIGCOMM community as well as will strengthen awareness of researchers.

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HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning

Zhu,

Sun,

2024

Lecture Notes in Networks and Systems

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Compressive Millimeter-Wave Sector Selection in Off-the-Shelf IEEE 802.11ad Devices

Cited by 111 publications

References 30 publications

Optimizing mmWave Wireless Backhaul Scheduling

Optimizing mmWave Wireless Backhaul Scheduling

A Survey on Artifacts from CoNEXT, ICN, IMC, and SIGCOMM Conferences in 2017

HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning

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