IoT Coverage Enhancement using Repetition in Energy Constrained Devices: an Analytic Approach

TL;DR

This paper presents an analytical framework to evaluate how transmission repetition affects coverage probability and energy consumption in energy-constrained IoT devices, comparing two diversity combining techniques to optimize network design.

Contribution

It introduces a stochastic geometry-based model to analyze the trade-off between coverage enhancement and energy use in IoT devices using repetition and diversity combining.

Findings

Selection Combining (SC) offers a different coverage-energy trade-off than Maximal Ratio Combining (MRC).

Repetition improves coverage probability but increases energy consumption.

The model helps optimize IoT network parameters for better coverage and energy efficiency.

Abstract

Novel Internet-of-Things (IoT) access technologies are emerging as part of the next generation cellular networks. These technologies are specifically oriented towards energy-limited IoT devices that are scattered far away from their serving base station. One of the key methods of achieving deep coverage is via repeated transmissions of data. However, repetition leads to higher energy consumption and reduces the device battery-lifetime. Thus, a trade-off between coverage and energy consumption exists and requires careful investigation. This paper evaluates the effects of transmission repetition on enhancing the probability of coverage and the cost of the incurred energy. Using an empirical repetition profile based on traffic load and device distance from the base station, we derive the coverage probability and energy profile models for IoT links that utilize two different diversity combining techniques. In particular, we focus on two common diversity combining that are; (i) Selection Combining (SC), and (ii) Maximal Ratio Combining (MRC). We utilize tools from stochastic geometry to formulate an analytic framework that compares these two combining methods. This framework can aid network designers in jointly maximizing the network coverage while minimizing the energy expenditure of devices.