Development of A Compact Energy-Efficient CMOS Biasing Circuit Without Auxiliary Hardware

Abstract

The design of compact and energy-efficient biasing circuits in CMOS technology remains a fundamental challenge in modern integrated circuit design, particularly in applications requiring low power consumption and minimal external dependencies. Conventional biasing architectures often rely on off-chip components or exhibit significant sensitivity to temperature and supply variations, thereby limiting their applicability in highly integrated and portable systems. This research presents a novel framework for the development of a compact CMOS biasing circuit that operates without auxiliary hardware while maintaining high precision and energy efficiency.

The proposed approach integrates principles from current reference design, switched-capacitor techniques, and bandgap-independent architectures to achieve a self-contained biasing solution. By exploiting intrinsic device characteristics and optimizing transistor-level configurations, the design eliminates the need for external resistors and capacitors, thereby reducing system complexity and improving scalability. The theoretical foundation of the work is rooted in analog CMOS design principles, including current mirroring, temperature compensation, and low-voltage operation.

A hybrid methodology is introduced that combines static and dynamic bias generation mechanisms to enhance stability across varying operating conditions. The design incorporates temperature-insensitive current generation techniques and leverages subthreshold operation to minimize power consumption. Analytical modeling and simulation-based evaluation demonstrate that the proposed circuit achieves improved performance in terms of power efficiency, temperature stability, and area utilization compared to conventional biasing schemes.

The findings indicate that the elimination of auxiliary components does not compromise performance when appropriate compensation mechanisms are employed. Instead, it enables a more integrated and robust solution suitable for advanced system-on-chip (SoC) applications. The proposed framework contributes to the advancement of low-power analog circuit design by offering a scalable and efficient biasing strategy. Future work may focus on experimental validation and integration into complex mixed-signal systems.