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RF-SIFTER: Sifting Signals at Layer-0.5 to Mitigate Wideband Cross-Technology Interference for IoT

  • Xiong Wang
  • , Jun Huang
  • , Bizhao Shi
  • , Zhe Ou
  • , Guojie Luo
  • , Linghe Kong
  • , Daqing Zhang
  • , Chenren Xu
  • Tsinghua University
  • City University of Hong Kong
  • Shanghai Jiao Tong University
  • Peking University
  • Zhongguancun Laboratory

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

IoT uplink performance is crucial for a wide variety of IoT applications such as health sensing and industrial control, which demand reliable delivery of sensor data to the cloud. However, due to the limited transmission power budget imposed on many power-constrained IoT devices, IoT uplinks are highly susceptible to cross-Technology interference (CTI) caused by coexisting networks. Previous approaches to mitigating CTI have relied on MAC/PHY designs. They suffer from poor performance and limited generality in the presence of wideband CTI sources such as Wi-Fi and RF jammer, which transmit aggressively on large spectrum chunks using diverse radio technologies.This paper introduces RF-SIFTER, a general and highly-effective system that protects low-power IoT uplinks against intensive wideband CTI. RF-SIFTER enables technology-Agnostic blind beamforming to sift signals based on bandwidth, allowing IoT signals to pass through while rejecting interference wider than the IoT band. RF-SIFTER is designed as a Layer-0.5 that is transparent to IoT MAC/PHY, ensuring general applicability and practical deployability across a wide range of coexistence scenarios. RF-SIFTER is implemented on an FPGA-based software radio platform. Extensive experiments show that RF-SIFTER can improve the SINR of IoT uplink signals by up to 29 dB and increase packet delivery ratio by 2× to 5× for ZigBee, BLE, and RFID in the presence of wideband CTI caused by 802.11ac networks and RF jamming.

langue originaleAnglais
titreProceedings of the 29th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2023
EditeurAssociation for Computing Machinery
Pages165-178
Nombre de pages14
ISBN (Electronique)9781450399906
Les DOIs
étatPublié - 2 oct. 2023
Evénement29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023 - Madrid, Espagne
Durée: 2 oct. 20236 oct. 2023

Série de publications

NomProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
ISSN (imprimé)1543-5679

Une conférence

Une conférence29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023
Pays/TerritoireEspagne
La villeMadrid
période2/10/236/10/23

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