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Development of an LAA-LTE Transmitter with Lightweight Wi-Fi Frame Detection

Authors:

Harim Lee,

Hyoil Kim,

Hyun Jong YangAuthors Info & Claims

MobiCom '18: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

Pages 729 - 731

https://doi.org/10.1145/3241539.3267754

Published: 15 October 2018 Publication History

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Abstract

Since License Assisted Access LTE (LAA-LTE) employs a conservative energy detection (ED) threshold for transmission to coexist with Wi-Fi in unlicensed bands, the spatial spectrum reuse of LAA-LTE can be significantly impaired. Such non-flexible thresholding has been introduced mainly due to ED's incapability of differentiating Wi-Fi frames from LTE frames. As a remedy, we design and develop an LAA-LTE transmitter based on a software-defined radio system proposing lightweight but effective Wi-Fi frame detection with which an LAA-LTE device can capture a Wi-Fi preamble by only using LTE's own time-domain samples. Experiments confirm the efficacy of the developed system.

References

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3GPP. 2016. 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures (Release 14). (December 2016). TS 36.213 V14.1.0.

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Romil Bhardwaj, Krishna Chintalapudi, and Ramachandran Ramjee. 2017. Skip-Correlation for Multi-Power Wireless Carrier Sensing. In Proc. NSDI.

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EttusResearch. 2018', url =. Knowledge Base. (2018', url =).

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K. Yoon et al. 2017. COTA: Channel occupancy time adaptation for LTE in unlicensed spectrum. In Proc. IEEE DySPAN.

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S. Yun and L. Qiu. 2015. Supporting WiFi and LTE Co-existence. In Proc. IEEE INFOCOM.

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Cited By

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Lee HKim DLim J(2023)Wi-Fi frame detection via spiking neural networks with memristive synapsesComputer Communications10.1016/j.comcom.2023.06.006208:C(256-270)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.comcom.2023.06.006
Lee HKim DLim J(undefined)Wi-Fi Frame Detection Via Spiking Neural Network with Memristive SynapsesSSRN Electronic Journal10.2139/ssrn.4237475
https://doi.org/10.2139/ssrn.4237475

Index Terms

Development of an LAA-LTE Transmitter with Lightweight Wi-Fi Frame Detection
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Wireless devices

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Information & Contributors

Information

Published In

MobiCom '18: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

October 2018

884 pages

ISBN:9781450359030

DOI:10.1145/3241539

General Chairs:
Rajeev Shorey
TCS Innovation Labs, India
,
Rohan Murty
Soroco, USA/India
,
Program Chairs:
Yingying (Jennifer) Chen
WINLAB, Rutgers University, USA
,
Kyle Jamieson
Princeton University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2018

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Funding Sources

National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT)
IITP grant funded by the Korea government(MSIT)
ITRC support program supervised by the the Institute for Information & communications Technology Promo

Conference

MobiCom '18

Sponsor:

SIGMOBILE

MobiCom '18: The 24th Annual International Conference on Mobile Computing and Networking

October 29 - November 2, 2018

New Delhi, India

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MobiCom '18 Paper Acceptance Rate 42 of 187 submissions, 22%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

View all

Lee HKim DLim J(2023)Wi-Fi frame detection via spiking neural networks with memristive synapsesComputer Communications10.1016/j.comcom.2023.06.006208:C(256-270)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.comcom.2023.06.006
Lee HKim DLim J(undefined)Wi-Fi Frame Detection Via Spiking Neural Network with Memristive SynapsesSSRN Electronic Journal10.2139/ssrn.4237475
https://doi.org/10.2139/ssrn.4237475

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