Reliable Reporting for Massive M2M Communications with Periodic Resource Pooling

This letter considers a wireless M2M communication scenario with a massive number of M2M devices. Each device needs to send its reports within a given deadline and with certain reliability, e. g. 99.99%. A pool of resources available to all M2M devices is periodically available for transmission. The number of transmissions required by an M2M device within the pool is random due to two reasons - random number of arrived reports since the last reporting opportunity and requests for retransmission due to random channel errors. We show how to dimension the pool of M2M-dedicated resources in order to guarantee the desired reliability of the report delivery within the deadline. The fact that the pool of resources is used by a massive number of devices allows to base the dimensioning on the central limit theorem. The results are interpreted in the context of LTE, but they are applicable to any M2M communication system.Comment: Submitted to journa

Reliable and Efficient Access for Alarm-initiated and Regular M2M Traffic in IEEE 802.11ah Systems

EEE 802.11ah is a novel WiFi-based protocol, aiming to provide an access solution for the machine-to-machine (M2M) communications. In this paper, we propose an adaptive access mechanism that can be seamlessly incorporated into IEEE 802.11ah protocol operation and that supports all potential M2M reporting regimes, which are periodic, on-demand We show that it is possible to both efficiently and reliably resolve all reporting stations in the cell, within the limits of the allowed deadlines. As a side result, we also provide a rationale for modeling the inter-arrival time in alarm events by using the Beta distribution, a model that is considered in the 3GPP standardization.Comment: Appeared in IEEE IoT Journal, October 201

A Modelling and Experimental Framework for Battery Lifetime Estimation in NB-IoT and LTE-M

To enable large-scale Internet of Things (IoT) deployment, Low-power wide-area networking (LPWAN) has attracted a lot of research attention with the design objectives of low-power consumption, wide-area coverage, and low cost. In particular, long battery lifetime is central to these technologies since many of the IoT devices will be deployed in hard-toaccess locations. Prediction of the battery lifetime depends on the accurate modelling of power consumption. This paper presents detailed power consumption models for two cellular IoT technologies: Narrowband Internet of Things (NB-IoT) and Long Term Evolution for Machines (LTE-M). A comprehensive power consumption model based on User Equipment (UE) states and procedures for device battery lifetime estimation is presented. An IoT device power measurement testbed has been setup and the proposed model has been validated via measurements with different coverage scenarios and traffic configurations, achieving the modelling inaccuracy within 5%. The resulting estimated battery lifetime is promising, showing that the 10-year battery lifetime requirement specified by 3GPP can be met with proper configuration of traffic profile, transmission, and network parameters.Comment: submitted to IEEE Internet of Things Journal, 12 pages, 10 figure