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Experimental assessment of tradeoffs among spectrumsensing platforms

Published: 19 September 2011 Publication History

Abstract

This paper reports experimental results comparing the performance of four platforms employed in spectrum sensing and dynamic spectrum access research: a sensing engine developed at imec and built around a prototype RFIC; the Universal Software Radio Peripheral (USRP) with the Iris software defined radio (SDR) solution; the TelosB sensor network platform; and the Wi-Spy low cost spectrum sensor solution targeted at the ISM band. We use experimental data to derive the receiver operating characteristics (ROC) of each of the four platforms. We observe that for low signal powers, narrow bandwidth signals, high shadowing, or stringent probability of false alarm (PFA) requirements tradeoffs among the platforms tested are most pronounced, whereas for high signal powers, large bandwidths, stable environments, and more flexible PFA requirements less expensive, commercial-off-the-shelf equipment performs sufficiently well.

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Cited By

View all
  • (2021)An overview of deep reinforcement learning for spectrum sensing in cognitive radio networksDigital Signal Processing10.1016/j.dsp.2021.103014(103014)Online publication date: Mar-2021
  • (2018)Reliable and Reproducible Radio Experiments in FIT/CorteXlab SDR Testbed: Initial FindingsCognitive Radio Oriented Wireless Networks10.1007/978-3-319-76207-4_19(225-236)Online publication date: 17-Feb-2018
  • (2016)Digital FMCW for ultrawideband spectrum sensingRadio Science10.1002/2016RS00608351:8(1413-1420)Online publication date: 25-Aug-2016
  • Show More Cited By

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Published In

cover image ACM Conferences
WiNTECH '11: Proceedings of the 6th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
September 2011
118 pages
ISBN:9781450308670
DOI:10.1145/2030718
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 19 September 2011

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Author Tags

  1. cognitive radio
  2. comparative analysis
  3. experimental wireless platforms
  4. spectrum sensing

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Cited By

View all
  • (2021)An overview of deep reinforcement learning for spectrum sensing in cognitive radio networksDigital Signal Processing10.1016/j.dsp.2021.103014(103014)Online publication date: Mar-2021
  • (2018)Reliable and Reproducible Radio Experiments in FIT/CorteXlab SDR Testbed: Initial FindingsCognitive Radio Oriented Wireless Networks10.1007/978-3-319-76207-4_19(225-236)Online publication date: 17-Feb-2018
  • (2016)Digital FMCW for ultrawideband spectrum sensingRadio Science10.1002/2016RS00608351:8(1413-1420)Online publication date: 25-Aug-2016
  • (2015)Heterogeneous spectrum sensing: challenges and methodologiesEURASIP Journal on Wireless Communications and Networking10.1186/s13638-015-0291-82015:1Online publication date: 13-Mar-2015
  • (2015)A Generic Measurement Setup for Implementation and Performance Evaluation of Spectrum Sensing Techniques: Indoor EnvironmentsIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2014.235547164:3(606-614)Online publication date: Mar-2015
  • (2012)Application of Signal Processing to Addressing Wireless Data Demand [In the Spotlight]IEEE Signal Processing Magazine10.1109/MSP.2012.221145229:6(168-166)Online publication date: Nov-2012
  • (2011)An experimental setup for performance evaluation of spectrum sensing via energy detectorProceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management10.1145/2093256.2093298(1-5)Online publication date: 26-Oct-2011

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