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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Fiber-Wireless Integration with Enhanced Adaptability for Next Generation Radio Access Networks
Committee:
Dr. Xiaoli Ma, ECE, Chair, Advisor
Dr. John Barry, ECE
Dr. Matthieu Bloch, ECE
Dr. Gordon Stuber, ECE
Dr. Yao Xie, ISyE
Abstract: 5G mobile communications marks the beginning of supporting various user scenarios with diverse requirements and this trend will continue, with more applications of even more divergent targeted capabilities to be covered. This calls for enhanced adaptability in the fiber-wireless integrated system. In this thesis, we will approach this problem in three aspects. Firstly, a hybrid analog/digital radio-over-fiber (RoF) transmission system is studied so that the network can accommodate both RoF formats. Secondly, advanced techniques applied to digital RoF are investigated, aiming at being adaptable to device impairments. For band-limited intensity-modulation and direct-detection (IM/DD) systems, a correlated training sequence with non-white spectrum is proposed to accelerate equalizer training. For coherent communications, laser phase noise tolerance is improved through probabilistic shaping (PS) and a novel distribution is proposed. Thirdly, high accuracy quality of transmission (QoT) estimation in analog RoF systems is studied. Artificial neural network (ANN) is applied to improve estimation accuracy and the sample efficiency of ANN training is promoted through active learning.
