Invited: Ultra low power integrated transceivers for near-field IoT

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose mm-Waves for Near-Field IoT, ultra-low power transceivers. With small footprint and no external components, the transceivers could be integrated with the sensors, with the wireless sensor nodes organized in a Master-Slave, asymmetrical network. With low complexity and high energy efficiency, the slave nodes benefit from a minimalist design approach with integrated antennas and integrated resonators for absolute frequency accuracy. Two designs are presented. The first is a K-band, super-regenerative, logarithmic-mode, OOK receiver achieving a peak energy efficiency of 200pJ/bit at 4Mb/s and a BER of 10-3. With 800μW peak and 8μW average power, the sensitivity of the receiver is -60dBm for the same data and bit-error rates. Realized in a 65nm CMOS process from GF, the active area of the receiver is 740×670μm2. The second design is a 100Kb/s, V-band transceiver with integrated antenna. It achieves 20pJ/bit energy efficiency (Rx mode) and it provides means for 1/f noise mitigation.

Original languageBritish English
Title of host publicationProceedings of the 2016 53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467387293
DOIs
StatePublished - 15 Aug 2016
Event53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: 5 Jun 20169 Jun 2016

Publication series

NameProceedings - Design Automation Conference
Volume2016-August
ISSN (Print)0738-100X

Conference

Conference53rd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States
CityAustin
Period5/06/169/06/16

Keywords

  • M2M
  • mm-Waves
  • Near-Field IoT
  • Transceiver
  • Ultra Low Power

Fingerprint

Dive into the research topics of 'Invited: Ultra low power integrated transceivers for near-field IoT'. Together they form a unique fingerprint.

Cite this