# Optimized LTE Data Transmission Procedures for IoT: Device Side Energy   Consumption Analysis

**Authors:** Pilar Andres-Maldonado, Pablo Ameigeiras, Jonathan Prados-Garzon, Juan, J. Ramos-Munoz, Juan M. Lopez-Soler

arXiv: 1704.04929 · 2017-07-18

## TL;DR

This paper analyzes energy consumption in LTE for IoT devices, comparing traditional procedures with two new optimizations based on control and user planes, showing significant energy savings especially at medium inter-arrival times.

## Contribution

It introduces an analytical model using Markov chains to evaluate energy consumption of LTE procedures with new IoT optimizations, highlighting their efficiency.

## Key findings

- Control Plane optimization reduces energy consumption by up to 87% at medium IATs.
- For large and small IATs, all procedures show similar energy use.
- The model accurately predicts energy savings with different LTE procedures.

## Abstract

The efficient deployment of Internet of Things (IoT) over cellular networks, such as Long Term Evolution (LTE) or the next generation 5G, entails several challenges. For massive IoT, reducing the energy consumption on the device side becomes essential. One of the main characteristics of massive IoT is small data transmissions. To improve the support of them, the 3GPP has included two novel optimizations in LTE: one of them based on the Control Plane (CP), and the other on the User Plane (UP). In this paper, we analyze the average energy consumption per data packet using these two optimizations compared to conventional LTE Service Request procedure. We propose an analytical model to calculate the energy consumption for each procedure based on a Markov chain. In the considered scenario, for large and small Inter-Arrival Times (IATs), the results of the three procedures are similar. While for medium IATs CP reduces the energy consumption per packet up to 87% due to its connection release optimization.

## Full text

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## Figures

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## References

13 references — full list in the complete paper: https://tomesphere.com/paper/1704.04929/full.md

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Source: https://tomesphere.com/paper/1704.04929