# Energy Efficient Scheduling for Loss Tolerant IoT Applications with Uninformed Transmitter

## TL;DR

This paper proposes an energy-efficient packet scheduling method for loss-tolerant IoT applications over slow fading channels without channel state information at the transmitter, using stochastic optimization to minimize power consumption.

## Contribution

It formulates a novel optimization problem for power minimization in loss-tolerant IoT scenarios without CSIT and solves it using stochastic optimization techniques.

## Key findings

- Significant power savings achieved for loss-tolerant applications.
- The optimization accounts for data loss tolerance and peak power constraints.
- Numerical results demonstrate the impact of system parameters on energy efficiency.

## Abstract

In this work we investigate energy efficient packet scheduling problem for the loss tolerant applications. We consider slow fading channel for a point to point connection with no channel state information at the transmitter side (CSIT). In the absence of CSIT, the slow fading channel has an outage probability associated with every transmit power. As a function of data loss tolerance parameters and peak power constraints, we formulate an optimization problem to minimize the average transmit energy for the user equipment (UE). The optimization problem is not convex and we use stochastic optimization technique to solve the problem. The numerical results quantify the effect of different system parameters on average transmit power and show significant power savings for the loss tolerant applications.