08 Octobre – Thesis defense - Jennifer Zaini

10 h MMNT CEA Grenoble

Design of tunable RF blocks in technology FDSOI for IoT applications.

Communicating objects are inviting themselves into daily life leading to digitization of the physical world. This explosion of multimedia wireless applications for consumer electronics makes the power consumption a key metric in the design of multi-mode wireless portable devices. Conventional transceivers have fixed performances and are designed to meet high performances in all wireless link conditions. However, most of the time, the channel of communication is not at worst case and these transceivers are therefore over specified. Being aware of the channel link conditions would allow such devices to adapt themselves and to reduce significantly their power consumption. Therefore, the challenge is to propose a QoS (Quality of Service) in terms of communication range, response time as instance, equivalent to industrial modules with a reduced overall power consumption.
To address this purpose, this thesis proposes a design strategy for the implementation of adaptive radio-frequency receiver (Rx) modules. Hence the Rx front end achieves the correct QoS for various scenarii of communications with a minimum of power consumption.
As a proof of concept, the adaptive approach is demonstrated with the design of a tunable LNA (Low Noise Amplifier). As the first element of the receiver chain, the LNA limits the receiver in terms of sensitivity and is therefore a good candidate to perform reconfiguration. The body biasing of the FD-SOI (Fully Depleted Silicon-On-Insulator) technology is first exploited to reduce the power consumption of a circuit and then as an opportunity to perform circuit tunability.

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