2003 Design, Automation and Test in Europe Conference and Exhibition
DOI: 10.1109/date.2003.1186697
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SystemC modeling of a Bluetooth transceiver: dynamic management of packet type in a noisy channel

Abstract: High level design methodologies are needed to overcome the complexity of System on Chip design. In this paper the SystemC environment has been used to design a Bluetooth transceiver. The high simulation speed allowed a high level performance analysis of the IP developed and the definition of an algorithm for selecting the best packet type in presence of channel noise.

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Cited by 5 publications
(6 citation statements)
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“…The Bluetooth Model In order to have a complete BToUWB system model, similar work needs to be done for the BT standard. System level implementation of the BT standard, in SystemC, has already been studied in the literature in [8] and [9].…”
Section: The Wimedia Mac and Phy Modelmentioning
confidence: 99%
“…The Bluetooth Model In order to have a complete BToUWB system model, similar work needs to be done for the BT standard. System level implementation of the BT standard, in SystemC, has already been studied in the literature in [8] and [9].…”
Section: The Wimedia Mac and Phy Modelmentioning
confidence: 99%
“…In [7] it has been shown how the different types of packets can be chosen in order to optimize the throughput in a noisy channel, in this section the effect on the power dissipation will be evidenced. Table II reports the mean value and the standard deviation of the energy dissipated by the baseband of the master during the transmission of different numbers of data (1 and the maximum allowed by the type of packets) with a BER of 1/1000 normalized by the energy dissipated by the transmission of 1 byte using a DM1 packet.…”
Section: B Data Transmissionmentioning
confidence: 99%
“…Other relevant examples of noise analysis based on virtual prototyping are illustrated in [11] - [14], in which some tasks of the Bluetooth and ZigBee protocols are examined in a noisy channel. These analysis are realized through statistical fault injection simulations, in which the BER impact on the examined tasks is evaluated in specific network architectures.…”
Section: Related Workmentioning
confidence: 99%