Cognitive Radios is emerging in research laboratories as a promising wireless paradigm, which will integrate benefits of software defined radio with a complete aware communication behavior. To reach this goal many issues remain still open, such as powerful algorithms for sensing the external environment. This paper presents a further step in the direction of allowing cooperative spectrum sensing in peer-to-peer cognitive networks by using distributed detection theory. The approach aims at improving the radio awareness with respect to stand alone scenario as it is shown with theoretical and experimental results. The aim of this paper is to present a spectrum sensing procedure based on distributed network of cognitive terminals (CT). Time Frequency Analysis is employed as part of a classification framework, where multiple devices cooperate to sense the spectrum and, in particular, to classify overlapping air interfaces. Each device carries out the first two steps of cognitive cycle (observation and analysis) working together other CTs to obtain a more detailed and correct radio scene representation. All previous solutions are based on single terminal approach, with no cooperation among devices: this paper aims at improving the flexibility and the generality of spectrum sensing by proposing a distributed classification of air interfaces by means of a network of cooperating cognitive terminals. The distributed algorithm which this work is based on is the theoretical scheme developed by Varshney, namely the distributed detection without fusion. In order to explain how this objective is reached, it is shown an example in which two air interfaces, Direct Sequence Code Division Multiple Access (DS-CDMA) and Frequency Hopping Code Division Multiple Access (FH-CDMA), are classified by using distributed cooperative terminals. Two cases of study are considered: IEEE WLAN 802.11b and Bluetooth. The paper starts with an analysis of cognitive terminals with their components in case of stand alone (Section III) architecture. Then, the proposed distributed solution is discussed in Section IV, while details are provided in Section V with proposed framework and its sub-parts (Sections VI and VII). Theoretical bases of distributed detection are explained in Sub-Section VII-B. Experimental and theoretical results are reported in Section VIII. Mathematical steps are detailed in Appendix I

Spectrum Sensing: A Distributed Approach for Cognitive Terminals

REGAZZONI, CARLO
2007-01-01

Abstract

Cognitive Radios is emerging in research laboratories as a promising wireless paradigm, which will integrate benefits of software defined radio with a complete aware communication behavior. To reach this goal many issues remain still open, such as powerful algorithms for sensing the external environment. This paper presents a further step in the direction of allowing cooperative spectrum sensing in peer-to-peer cognitive networks by using distributed detection theory. The approach aims at improving the radio awareness with respect to stand alone scenario as it is shown with theoretical and experimental results. The aim of this paper is to present a spectrum sensing procedure based on distributed network of cognitive terminals (CT). Time Frequency Analysis is employed as part of a classification framework, where multiple devices cooperate to sense the spectrum and, in particular, to classify overlapping air interfaces. Each device carries out the first two steps of cognitive cycle (observation and analysis) working together other CTs to obtain a more detailed and correct radio scene representation. All previous solutions are based on single terminal approach, with no cooperation among devices: this paper aims at improving the flexibility and the generality of spectrum sensing by proposing a distributed classification of air interfaces by means of a network of cooperating cognitive terminals. The distributed algorithm which this work is based on is the theoretical scheme developed by Varshney, namely the distributed detection without fusion. In order to explain how this objective is reached, it is shown an example in which two air interfaces, Direct Sequence Code Division Multiple Access (DS-CDMA) and Frequency Hopping Code Division Multiple Access (FH-CDMA), are classified by using distributed cooperative terminals. Two cases of study are considered: IEEE WLAN 802.11b and Bluetooth. The paper starts with an analysis of cognitive terminals with their components in case of stand alone (Section III) architecture. Then, the proposed distributed solution is discussed in Section IV, while details are provided in Section V with proposed framework and its sub-parts (Sections VI and VII). Theoretical bases of distributed detection are explained in Sub-Section VII-B. Experimental and theoretical results are reported in Section VIII. Mathematical steps are detailed in Appendix I
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/222649
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 189
  • ???jsp.display-item.citation.isi??? 128
social impact