GLR Test for OFDM System Identification Using Pilot Tones Pattern

Mohamed Rabie Oularbi (1, 2) , Saeed Gazor (3) , Sébastien Houcke (4, 1) , Abdeldjalil Aissa El Bey (4, 1)

1 SC - Département Signal et Communications
2 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Department of Electrical and Computer Engineering [Queen's University Kingston]
4 Lab-STICC_TB_CACS_COM

In the context of cognitive network architecture, an opportunistic cognitive receiver must identify the present active networks. In this paper, we propose an efficient algorithm for the identification of OFDM networks exploiting the pilot patterns used in these standards which are prescribed uniquely by their underlying standards. These pilots are inserted for the channel estimation and synchronization between the base stations and their users. The proposed Generalized Likelihood Ratio Test (GLRT) not only allows a cognitive observer to detect the active networks by analyzing the observed signals but also performs channel estimation, time-frequency synchronization as well as estimation of the noise variance. These informations are of a great interest for Quality of Service estimation in the purpose of an association with the base station. The proposed solution is applicable to the existing standards (e.g., LTE, WiMAX, WiFi), doesn’t require any signaling overhead to be embedded on the pilot tones, is computationally inexpensive and only requires to know the pilot patterns. An other GLRT is proposed as a pre-detector which ignores the pilot information and allows to reduce the computational cost of the system for the cases where a large number of patterns/systems are to be tested.

Mots clés: Cognitive radio; OFDM

Domaines: Traitement du signal et de l'image [eess.SP]; Réseaux et télécommunications [cs.NI]

Mohamed Rabie Oularbi, Saeed Gazor, Sébastien Houcke, Abdeldjalil Aissa El Bey. GLR Test for OFDM System Identification Using Pilot Tones Pattern. EURASIP Journal on Wireless Communications and Networking, 2013, 2013, pp.72. ⟨10.1186/1687-1499-2013-72⟩. ⟨hal-00803308⟩