“…To improve SNR [44], RIS-assisted MIMO uses many passive reflective units that adjust the phase of incoming waves and reshape the wireless propagation path in cases where LoS is blocked [28], [44] RIS can also vary in its shape (during the design phase), depending on the application [45]. RIS provides a LoS path for radar sensing, concentrates signal power on Rx [5] and moderates Doppler shift in vehicular communication systems [46] to increase data rates, efficiency, and stability. Its manufacturing cost can be considered lower when compared to implementing multiple base stations [28].…”
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.
“…To improve SNR [44], RIS-assisted MIMO uses many passive reflective units that adjust the phase of incoming waves and reshape the wireless propagation path in cases where LoS is blocked [28], [44] RIS can also vary in its shape (during the design phase), depending on the application [45]. RIS provides a LoS path for radar sensing, concentrates signal power on Rx [5] and moderates Doppler shift in vehicular communication systems [46] to increase data rates, efficiency, and stability. Its manufacturing cost can be considered lower when compared to implementing multiple base stations [28].…”
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.
“…Furthermore, according to [46], RIS is typically categorized as either for wireless communications to improve spectrum efficiency, coverage, and energy efficiency, or for RF sensing to improve security, safety, and reliability. RIS also intelligently manages these types of networks [49] through software algorithms and analytical models. Fig.…”
Section: Channel Reconfigurabilitymentioning
confidence: 99%
“…Secondly, the wireless channel from Tx to the n th RIS element is denoted by hA,n and the component from the n th RIS element to Rx is denoted by hB,n, which constitute the signal components that can be dynamically adjusted through the RIS. The final expression for the transmission between Tx and Rx that originates from a vector sum of multiple paths is provided in [49].…”
Millimeter-wave and Terahertz communications consist of 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.
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