# Towards Ultra-low-power Realization of Analog Joint Source-Channel Coding using MOSFETs

## TL;DR

This paper presents a novel, ultra-low-power MOSFET-based analog joint source-channel coding scheme suitable for IoT sensors, combining low complexity, cost-effectiveness, and power efficiency verified through simulations.

## Contribution

It introduces a MOSFET-based encoding method for AJSCC that enables ultra-low-power, low-cost sensor design with multiple quantization levels supported by a power-efficient circuit.

## Key findings

- Verified via Spice and MATLAB simulations
- Supports multiple quantization levels for optimal performance
- Achieves ultra-low-power operation suitable for IoT applications

## Abstract

Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, requires sensors that consume ultra-low power (so that they do not need to be put to sleep leading to loss of temporal and spatial resolution) and have low costs (for high density deployment). A novel encoding based on Metal Oxide Semiconductor Field Effect Transistors (MOSFETs) is proposed to realize Analog Joint Source Channel Coding (AJSCC), a low-complexity technique to compress two (or more) signals into one with controlled distortion. In AJSCC, the y-axis is quantized while the x-axis is continuously captured. A power-efficient design to support multiple quantization levels is presented so that the digital receiver can decide the optimum quantization and the analog transmitter circuit is able to realize that. The approach is verified via Spice and MATLAB simulations.