research-article

Smart mm-Wave Beam Steering Algorithm for Fast Link Re-Establishment under Node Mobility in 60 GHz Indoor WLANs

Authors:

Ljiljana Simić,

Petri MähönenAuthors Info & Claims

MobiWac '15: Proceedings of the 13th ACM International Symposium on Mobility Management and Wireless Access

Pages 53 - 62

https://doi.org/10.1145/2810362.2810363

Published: 02 November 2015 Publication History

Abstract

Millimeter-wave (mm-wave) wireless local area networks (WLANs) are expected to provide multi-Gbps connectivity by exploiting the large amount of unoccupied spectrum in e.g. the unlicensed 60 GHz band. However, to overcome the high path loss inherent at these high frequencies, mm-wave networks must employ highly directional beamforming antennas, which makes link establishment and maintenance much more challenging than in traditional omnidirectional networks. In particular, maintaining connectivity under node mobility necessitates frequent re-steering of the transmit and receive antenna beams to re-establish a directional mm-wave link. A simple exhaustive sequential scanning to search for new feasible antenna sector pairs may introduce excessive delay, potentially disrupting communication and lowering the QoS. In this paper, we propose a smart beam steering algorithm for fast 60 GHz link re-establishment under node mobility, which uses knowledge of previous feasible sector pairs to narrow the sector search space, thereby reducing the associated latency overhead. We evaluate the performance of our algorithm in several representative indoor scenarios, based on detailed simulations of signal propagation in a 60 GHz WLAN in WinProp with realistic building materials. We study the effect of indoor layout, antenna sector beamwidth, node mobility pattern, and device orientation awareness. Our results show that the smart beam steering algorithm achieves a 7-fold reduction of the sector search space on average, which directly translates into lower 60 GHz link re-establishment latency. Our results also show that our fast search algorithm selects the near-optimal antenna sector pair for link re-establishment.

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Cited By

Lin YChiew Y(2024)Improving Angle Estimation via Feedback for Hybrid mmWave Systems Using Beamforming Virtual ArraysIEEE Transactions on Signal Processing10.1109/TSP.2023.332997772(249-259)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TSP.2023.3329977
Lin BGao FZhang YPan CLiu G(2024)Multi-Camera Views Based Beam Searching and BS Selection With Reduced Training OverheadIEEE Transactions on Communications10.1109/TCOMM.2024.335174872:5(2793-2805)Online publication date: May-2024
https://doi.org/10.1109/TCOMM.2024.3351748
Siddiqui FMazumdar B(2023)Link Discovery Extension to ns-3’s Terahertz Communication ModuleProceedings of the 2023 Workshop on ns-310.1145/3592149.3592153(52-59)Online publication date: 28-Jun-2023
https://dl.acm.org/doi/10.1145/3592149.3592153
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Index Terms

Smart mm-Wave Beam Steering Algorithm for Fast Link Re-Establishment under Node Mobility in 60 GHz Indoor WLANs
1. Networks
  1. Network properties
    1. Network structure

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Published In

cover image ACM Conferences

MobiWac '15: Proceedings of the 13th ACM International Symposium on Mobility Management and Wireless Access

November 2015

114 pages

ISBN:9781450337588

DOI:10.1145/2810362

General Chair:
Mirela Sechi M.A. Notare
Faculdade de Tecnologia em Transporte Aéreo, Brazil
,
Program Chairs:
Ángel Cuevas Rumín
Universidad Carlos III de Madrid, Spain
,
Miguel Lopez-Guerrero
Universidad Autónoma Metropolitana, Mexico

Copyright © 2015 ACM.

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Published: 02 November 2015

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MSWiM'15

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MSWiM'15: 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 2 - 6, 2015

Cancun, Mexico

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MobiWac '15 Paper Acceptance Rate 12 of 37 submissions, 32%;

Overall Acceptance Rate 83 of 272 submissions, 31%

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Cited By

Lin YChiew Y(2024)Improving Angle Estimation via Feedback for Hybrid mmWave Systems Using Beamforming Virtual ArraysIEEE Transactions on Signal Processing10.1109/TSP.2023.332997772(249-259)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TSP.2023.3329977
Lin BGao FZhang YPan CLiu G(2024)Multi-Camera Views Based Beam Searching and BS Selection With Reduced Training OverheadIEEE Transactions on Communications10.1109/TCOMM.2024.335174872:5(2793-2805)Online publication date: May-2024
https://doi.org/10.1109/TCOMM.2024.3351748
Siddiqui FMazumdar B(2023)Link Discovery Extension to ns-3’s Terahertz Communication ModuleProceedings of the 2023 Workshop on ns-310.1145/3592149.3592153(52-59)Online publication date: 28-Jun-2023
https://dl.acm.org/doi/10.1145/3592149.3592153
Khosravi SGhadikolaei HZander JPetrova M(2023)Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks2023 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC55385.2023.10118761(1-6)Online publication date: Mar-2023
https://doi.org/10.1109/WCNC55385.2023.10118761
Zhang DShen SShe CXiao MPang ZLi YWang L(2022)Training Beam Sequence Design for mmWave Tracking Systems With and Without Environmental KnowledgeIEEE Transactions on Wireless Communications10.1109/TWC.2022.318716721:12(10780-10795)Online publication date: Dec-2022
https://doi.org/10.1109/TWC.2022.3187167
Ganji VLin TEspinal FKumar P(2022)BeamSurfer: Minimalist Beam Management of Mobile mm-Wave DevicesIEEE Transactions on Wireless Communications10.1109/TWC.2022.317118921:11(8935-8949)Online publication date: Nov-2022
https://doi.org/10.1109/TWC.2022.3171189
Ichkov AHager SMahonen PSimic L(2022)Comparative Evaluation of Millimeter-Wave Beamsteering Algorithms Using Outdoor Phased Antenna Array Measurements2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)10.1109/SECON55815.2022.9918162(497-505)Online publication date: 20-Sep-2022
https://doi.org/10.1109/SECON55815.2022.9918162
Lei WZhang DYe YLu C(2022)Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning ApproachIEEE Journal of Selected Topics in Signal Processing10.1109/JSTSP.2022.314348816:3(447-459)Online publication date: Apr-2022
https://doi.org/10.1109/JSTSP.2022.3143488
Lee JEkici E(2021)User Scheduling and Beam Alignment in mmWave Networks With a Large Number of Mobile UsersIEEE Transactions on Wireless Communications10.1109/TWC.2021.307470020:10(6481-6492)Online publication date: Oct-2021
https://doi.org/10.1109/TWC.2021.3074700
Zhang DLi APradhan CLi JVucetic BLi Y(2021)Training Beam Sequence Design for Multiuser Millimeter Wave Tracking SystemsIEEE Transactions on Communications10.1109/TCOMM.2021.309654369:10(6939-6955)Online publication date: Oct-2021
https://doi.org/10.1109/TCOMM.2021.3096543
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