Reconfigurable cognitive transceiver for opportunistic networks

Marco Maso 1, * Ejder Baştuğ 2 Leonardo Cardoso 3 Mérouane Debbah 2 Özgür Özdemir 4, 5
* Auteur correspondant
3 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, UCBL - Université Claude Bernard Lyon 1, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : In this work, we provide the implementation and analysis of a cognitive transceiver for opportunistic networks. We focus on a previously introduced dynamic spectrum access (DSA) - cognitive radio (CR) solution for primary-secondary coexistence in opportunistic orthogonal frequency division multiplexing (OFDM) networks, called cognitive interference alignment (CIA). The implementation is based on software-defined radio (SDR) and uses GNU Radio and the universal software radio peripheral (USRP) as the implementation toolkit. The proposed flexible transceiver architecture allows efficient on-the-fly reconfigurations of the physical layer into OFDM, CIA or a combination of both. Remarkably, its responsiveness is such that the uplink and downlink channel reciprocity from the medium perspective, inherent to time division duplex (TDD) communications, can be effectively verified and exploited. We show that CIA provides approximately 10 dB of interference isolation towards the OFDM receiver with respect to a fully random precoder. This result is obtained under suboptimal conditions, which indicates that further gains are possible with a better optimization of the system. Our findings point towards the usefulness of a practical CIA implementation, as it yields a non-negligible performance for the secondary system, while providing interference shielding to the primary receiver.
Type de document :
Article dans une revue
EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2014, 2014 (1), pp.69
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Marco Maso, Ejder Baştuğ, Leonardo Cardoso, Mérouane Debbah, Özgür Özdemir. Reconfigurable cognitive transceiver for opportunistic networks. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2014, 2014 (1), pp.69. 〈hal-01003077〉

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