Page 499 - Kaleidoscope Academic Conference Proceedings 2024
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Session 2: Technology, next-generation network architectures
             S2.1      PIMA Diabetes Prediction Using Machine Learning and Quantum Machine Learning Techniques
                       Vimal Dixit (Jawaharlal Nehru University, New Delhi, India)

                       Quantum Machine Learning (QML), the combination of quantum mechanics and machine learning
                       made it possible to access unparalleled computational power. Harnessing both the superposition
                       and entanglement of quantum mechanical principles, quantum computing provides an exponential
                       scaling. This study goes through ML and QML techniques and their performance over the PIMA
                       diabetes dataset. Evaluation of the Indian PIMA Diabetes Dataset concludes that among traditional
                       ML classifiers, SVM performs better than LR with an accuracy of 0.76 and a balanced precision,
                       recall,  and  F-measure  of  0.75,0.76  and  0.77  respectively.  Whereas  amongst  QML  algorithms
                       QSVC  outperforms  VQC  with  an  accuracy  of  0.74  and  a  precision,  recall,  and  F-measure  of
                       0.75,0.73 and 0.74 respectively.

             S2.2      Enabling  Fiber-Wireless  Technologies  for  Radio  Communications  in  Millimeter-Wave  and
                       Terahertz-Wave Bands in IMT-2030 and Beyond*

                       Tien  Dat  Pham  (National  Institute  of  Information  and  Communications  Technology  (NICT),
                       Japan);  Yuya  Yamaguchi  and  Kouichi  Akahane  (National  Institute  of  Information  and
                       Communications Technology, Japan)


                       Radio access networks in high-frequency bands are crucial for providing high-speed and low-
                       latency services. Research efforts are being made worldwide; however, several bottlenecks still
                       exist, such as high free-space loss, weak penetration, and limited coverage, making the deployment
                       of high-frequency radio communications challenging. To attain sustainable development goals,
                       cost-effective,  high-speed,  and  energy-efficient  communication  infrastructure  should  be
                       developed. Photonic technology and its convergence with radio counterparts are promising for
                       high-frequency radio communications. In this paper, we present key fiber-wireless technologies,
                       including  a  high-speed  fiber-wireless  bridge  system  for  fixed  wireless  access  and  emergency
                       communications,  transparent  relay  and  routing  of  radio  signals  for  coverage  extension,  and
                       simultaneous  generation,  transmission,  and  reception  of  multiple  radio  signals  in  different
                       frequency bands, to overcome the bottlenecks. For each technology, we present the system concept
                       and proof-of-concept demonstration. The achieved results reveal the potential of the proposed
                       solutions and can pave the way for the deployment of access networks in the millimeter-wave and
                       terahertz-wave bands.


































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