Optimisation and Performance Computation of a Phase Frequency Detector Module for IoT Devices

التفاصيل البيبلوغرافية
العنوان: Optimisation and Performance Computation of a Phase Frequency Detector Module for IoT Devices
المؤلفون: Hemel, Md. Shahriar Khan, Reaz, Mamun Bin Ibne, Ali, Sawal Hamid Bin Md, Bhuiyan, Mohammad Arif Sobhan, Miraz, Mahdi H.
المصدر: Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 13-21, Vol. 8, No. 1, 1st January 2024, Available: http://aetic.theiaer.org/archive/v8/v8n1/p1.html
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Networking and Internet Architecture
الوصف: The Internet of Things (IoT) is pivotal in transforming the way we live and interact with our surroundings. To cope with the advancement in technologies, it is vital to acquire accuracy with the speed. A phase frequency detector (PFD) is a critical device to regulate and provide accurate frequency in IoT devices. Designing a PFD poses challenges in achieving precise phase detection, minimising dead zones, optimising power consumption, and ensuring robust performance across various operational frequencies, necessitating complex engineering and innovative solutions. This study delves into optimising a PFD circuit, designed using 90 nm standard CMOS technology, aiming to achieve superior operational frequencies. An efficient and high-frequency PFD design is crafted and analysed using cadence virtuoso. The study focused on investigating the impact of optimising PFD design. With the optimised PFD, an operational frequency of 5 GHz has been achieved, along with a power consumption of only 29 {\mu}W. The dead zone of the PFD was only 25 ps.
نوع الوثيقة: Working Paper
DOI: 10.33166/AETiC.2024.01.001
URL الوصول: http://arxiv.org/abs/2401.03389
رقم الأكسشن: edsarx.2401.03389
قاعدة البيانات: arXiv
الوصف
DOI:10.33166/AETiC.2024.01.001