Abstract

In this paper we propose a new receiver architecture for optimum active sequential sensing via sub-Nyquist sampling. The sensing strategy we propose is formulated as a sequential utility optimization problem, where the chosen utility functions strikes the desired balance between exploration and exploitation, typical in most spectrum sensing problem. To introduce the optimization variables, we first introduce the analog front-end architecture envisioned. Second, we characterize the optimal policy (under constraints on the sensing matrix) and derive the approximation factor for the greedy approach. Numerical simulations showcase the benefits of the proposed adaptive design.

Original languageEnglish (US)
Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
EditorsMichael B. Matthews
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-552
Number of pages5
Volume2017-October
ISBN (Electronic)9781538618233
DOIs
StatePublished - Apr 10 2018
Event51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States
Duration: Oct 29 2017Nov 1 2017

Other

Other51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
CountryUnited States
CityPacific Grove
Period10/29/1711/1/17

ASJC Scopus subject areas

  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

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  • Cite this

    Ferrari, L., & Scaglione, A. (2018). Active spectrum sensing with sequential sub-Nyquist sampling. In M. B. Matthews (Ed.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (Vol. 2017-October, pp. 548-552). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.2017.8335400