Adaptive Distributed Amplifier using Artificial Intelligence
Distributed Amplifier, Wide band, Adaptive, Mmic, Millimeter-waves, Bist
The objective of this PhD thesis is to address the issues related to amplification for high data-rate applications such as multi-gigabit wireless and wireline communication links. Requirements for high data-rates, above 100-Gb/s, concern the need for operating bandwidths above 50 GHz and, of course, maintining low power consumption. Distributed amplifiers (DA) are promising candidates for these kind of systems due to their superior operation bandwidth over other broadband topologies. Working in millimeter region, however, poses challenges. Challenges in terms of designing, determining the DA parameters needed to attain the optimum performance a given technology can offer, in terms of layout, especially when dealing with active cells and their interconnections, in terms of challenges when trying to maintain high gain for small power millimeter-wave signals, and also challenges due to process variation. For those reasons, as a first step, this PhD work will consist to model, design and layout distributed amplifiers of extremely large bandwidths and high gain in silicon technology then, as a second step, to implement built-in techniques for self-test (BIST), self-calibration, self-healing and adaptive operation. Performing design should pave the way towards state-of-the-art results.
Mis à jour le 28 July 2022