Spatial-spectral sensing using the Shrink & Match algorithm in asynchronous MIMO OFDM signals

Saeed Bagheri, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we formulate a cognitive radio (CR) systems spectrum sensing (SS) problem in which Secondary Users (SU), with multiple receive antennae, sense a channel shared among multiple asynchronous Primary Users (PU) transmitting Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) signals. The method we propose to estimate the opportunities available to the SUs combines advances in array processing and compressed channel sensing, and leverages on both the so called 'shrinkage method' as well as on an over-complete basis expansion of the PUs interference covariance matrix to detect the occupied and idle angles of arrivals and subcarriers. The covariance 'shrinkage' step and the sparse modeling step that follows, allow to resolve ambiguities that arise when the observations are scarce, reducing the sensing cost for the SU, thereby increasing its spectrum exploitation capabilities compared to competing sensing methods. Simulations corroborate these claims.

Original languageEnglish (US)
Title of host publicationGLOBECOM - IEEE Global Telecommunications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3218-3223
Number of pages6
ISBN (Print)9781479913534
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States
Duration: Dec 9 2013Dec 13 2013

Other

Other2013 IEEE Global Communications Conference, GLOBECOM 2013
CountryUnited States
CityAtlanta, GA
Period12/9/1312/13/13

Fingerprint

Orthogonal frequency division multiplexing
Array processing
Radio systems
Cognitive radio
Covariance matrix
Antennas
Costs

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Bagheri, S., & Scaglione, A. (2013). Spatial-spectral sensing using the Shrink & Match algorithm in asynchronous MIMO OFDM signals. In GLOBECOM - IEEE Global Telecommunications Conference (pp. 3218-3223). [6831567] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2013.6831567

Spatial-spectral sensing using the Shrink & Match algorithm in asynchronous MIMO OFDM signals. / Bagheri, Saeed; Scaglione, Anna.

GLOBECOM - IEEE Global Telecommunications Conference. Institute of Electrical and Electronics Engineers Inc., 2013. p. 3218-3223 6831567.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bagheri, S & Scaglione, A 2013, Spatial-spectral sensing using the Shrink & Match algorithm in asynchronous MIMO OFDM signals. in GLOBECOM - IEEE Global Telecommunications Conference., 6831567, Institute of Electrical and Electronics Engineers Inc., pp. 3218-3223, 2013 IEEE Global Communications Conference, GLOBECOM 2013, Atlanta, GA, United States, 12/9/13. https://doi.org/10.1109/GLOCOM.2013.6831567
Bagheri S, Scaglione A. Spatial-spectral sensing using the Shrink & Match algorithm in asynchronous MIMO OFDM signals. In GLOBECOM - IEEE Global Telecommunications Conference. Institute of Electrical and Electronics Engineers Inc. 2013. p. 3218-3223. 6831567 https://doi.org/10.1109/GLOCOM.2013.6831567
Bagheri, Saeed ; Scaglione, Anna. / Spatial-spectral sensing using the Shrink & Match algorithm in asynchronous MIMO OFDM signals. GLOBECOM - IEEE Global Telecommunications Conference. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 3218-3223
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