Abstract

In recent years, analog design has faced increasing demands due to the rapid advancement of emerging technologies such as Internet of Things (IoT), 5G communications, and artificial intelligence (AI). These applications require high-performance, energy-efficient circuits with reduced noise and improved speed. Traditional analog design methodologies struggle to meet these needs, prompting the development of innovative approaches that leverage emerging technologies and novel design techniques. The main challenge in analog design is balancing power consumption, speed, and accuracy. In conventional methods, trade-offs between these factors often result in suboptimal circuit performance. To address this, we propose the combination of advanced analog design techniques with emerging technologies like nanometer-scale devices, FinFETs, and carbon nanotube transistors (CNTs). These technologies enable the design of high-speed, low-power circuits that meet the growing demands of modern applications. Our approach incorporates process-aware design techniques, adaptive biasing, and the use of multi-threshold voltage transistors to optimize performance. We also explore hybrid analog-digital design methodologies to further enhance circuit functionality. Simulation results of our designs show significant improvements. For example, a low-noise amplifier (LNA) designed with FinFET technology demonstrates a 20% reduction in power consumption compared to traditional CMOS designs, while maintaining a noise figure of 1.2 dB. Similarly, operational amplifiers utilizing CNTs exhibit a 15% improvement in gain-bandwidth product (GBW) and a 25% reduction in power consumption. These results indicate that the combination of emerging technologies with innovative analog design approaches offers substantial performance enhancements. Our study underscores the potential of these techniques to meet the demands of future technologies, providing a foundation for further research in the field.