International Journal For Multidisciplinary Research

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Analog and Mixed-signal Integrated Circuits of 5Gand 6G Data Communication

Author(s) Dr. C.T.K.Amarnath
Country India
Abstract The complex analog and mixed-signal transceivers where overall system performance is often limited by the weakest performing subsystem. While analog and mixed-signal integrated circuits have significantly advanced, the future of 5G and 6G transceiver design could be accelerated by including artificial intelligence. In this combination, analog integrated circuit design and operation would harness machine learning to identify, characterize, and act upon variations and anomalies in system performance. Focusing on 5G and 6G, this paper investigates solutions for a unified intelligent integrated transceiver: a conceptual combination of a traditional analog subsystem, a supporting digital subsystem that enables artificial intelligence, and dedicated feedback circuitry or sensors that monitor performance, efficiency, or reliability. Active and passive components and propagation channels are reviewed based on their merits of introducing intelligence. Holistically and for broader applicability, the paper conceptualizes and coins the notion of an ‘‘intelligent integrated system (IIS)’’, which brings forward a novel unified vision and approach toward context-aware subsystems that dynamically interact with ambient and varying operating conditions. To demonstrate viability, the paper concatenates a select set of measurement results.
Keywords Analog circuits, artificial intelligence, artificial neural networks, generative AI, electronic design automation, integrated circuits, intelligent integrated systems, machine learning, microelectronic circuits, 5G, 6G.
Field Computer > Network / Security
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-06
Cite This Analog and Mixed-signal Integrated Circuits of 5Gand 6G Data Communication - Dr. C.T.K.Amarnath - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14587
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14587
Short DOI https://doi.org/gtmbgw
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