Highly Sensitive Broadband SiGe HBT LNA: Genetic Algorithm based Optimization and Design Methodology

Bimana, Abadahigwa; Sinha, Saurabh

doi:10.1109/elnano54667.2022.9927081

Cited by 3 publications

(7 citation statements)

References 20 publications

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“…Reconfigurability of a transceiver can be achieved by adjusting the VCO control voltage to change the frequency band, or channel, of the transceiver. If the signal quality is poor, the VCO can adjust the carrier frequency to avoid interference and improve the SNR [15]. The VCO can also switch between modulation schemes to adapt to varying channel conditions or to increase transmission rates.…”

Section: B Traditional Methods Of Reconfigurabilitymentioning

confidence: 99%

“…It is envisaged that the trajectory towards 6G will need to be more inclusive than before [14]. This implies that there may be augmentation between frequency solutions (anticipated: higher frequency as well as satellite or other non-terrestrial solutions) [15]. Through inclusivity and the abovementioned applications, several applicable learning techniques can be identified, presented in the following paragraph.…”

Section: Table 1 Machine Learning Techniques That Can Be Applied To A...mentioning

confidence: 99%

“…Reconfigurable or dynamic transceiver front ends that dynamically adapt their operating parameters to changing conditions have been presented in [15] and [23]. In this work, the subsystems rely on continuous feedback and hardware configurability to progressively control performance at the component level.…”

Section: Reconfigurable Transceiversmentioning

confidence: 99%

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

2024

IJFMR

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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.

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Section: B Traditional Methods Of Reconfigurabilitymentioning

confidence: 99%

Section: Table 1 Machine Learning Techniques That Can Be Applied To A...mentioning

confidence: 99%

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

2024

IJFMR

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“…From Table 1, it appears that genetic algorithms (GAs), based on adaptive heuristic or search engine algorithms, can be implemented in antenna array and RF front-end subsystem (mixers, filters, and amplifiers) algorithm development [16]. A GA typically performs better than random search algorithms since it uses historical data to lead the search toward the highest-performing region within the solution space.…”

Section: B High-frequency Learning Techniquesmentioning

confidence: 99%

“…A GA typically performs better than random search algorithms since it uses historical data to lead the search toward the highest-performing region within the solution space. In [16], a GA is implemented to optimize the highly sensitive broadband silicon germanium (SiGe) heterojunction bipolar transistor (HBT) low noise amplifier (LNA) design methodology for radio astronomy. To perform adaptive equalization in analog RF front ends, neural networks are recommended since these tasks are typically applied to large datasets.…”

Section: B High-frequency Learning Techniquesmentioning

confidence: 99%

Intelligent Integrated Circuits and Systems for 5G/6G Telecommunications

Lambrechts,

Sinha,

Sengupta

et al. 2024

IEEE Access

Self Cite

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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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Genetic Algorithm for Microwave Computer-Aided Design: The State of the Art

Bimana,

Sinha

2023

2023 Ieee Africon

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Highly Sensitive Broadband SiGe HBT LNA: Genetic Algorithm based Optimization and Design Methodology

Cited by 3 publications

References 20 publications

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

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

Intelligent Integrated Circuits and Systems for 5G/6G Telecommunications

Genetic Algorithm for Microwave Computer-Aided Design: The State of the Art

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