scispace - formally typeset
N

Nakisa Shams

Researcher at École de technologie supérieure

Publications -  11
Citations -  38

Nakisa Shams is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Noise figure & Local oscillator. The author has an hindex of 2, co-authored 8 publications receiving 7 citations.

Papers
More filters
Proceedings ArticleDOI

A 3.5 to 7 GHz Wideband Differential LNA with g m Enhancement for 5G Applications

TL;DR: A differential wideband low noise amplifier targeting 5G applications in 130 nm TSMC CMOS technology based on the capacitive cross-coupled common-gate (CCC-CG) push-pull architecture that enhances transconductance, reducing noise figure (NF) and increasing voltage gain.
Proceedings ArticleDOI

A 6 GHz 130 nm CMOS Harmonic Recombination RF Receiver Front-End Using N-Path Filtering

TL;DR: An RF receiver front-end using two feedforward N-path switching filters and harmonic-recombination configuration is presented, which helps to reduce the input frequency of the multiphase clock generator by a factor of three.
Proceedings ArticleDOI

A Low-Power Wideband Receiver Front-End for NB-IoT Applications

TL;DR: A low-power wideband receiver front-end is proposed for the narrow-band internet of things (NB-IoT) wireless standard to cover frequency bands from 0.6GHz to 1.4GHz.
Journal ArticleDOI

Analysis and Comparison of Low-Power 6-GHz N-Path-Filter-Based Harmonic Selection RF Receiver Front-End Architectures

TL;DR: In this article , the authors proposed a harmonic selection RF receiver architecture with two feed-forward path switching filters and harmonic recombination at the baseband to reduce the input frequency and power consumption by a factor of 3.
Proceedings ArticleDOI

A 0.8 -3.4 GHz, Low-Power and Low-noise RF-to-BB-Current-Reuse Receiver Front-End for Wideband Local and Wide-area IoT Applications

TL;DR: In this article, a low-noise, low-power and wideband RF-to-baseband (BB)-current-reuse quadrature (I/Q) receiver frontend using an active-inductor (AI) technique is proposed to support several local and wide-area wireless standards from 0.8 GHz to 3.4 GHz.