University of Oulu

Fine-grained performance analysis of massive MTC networks with scheduling and data aggregation

Saved in:
Author: Mayedo Rodríguez, Nelson1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Communications Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 6 MB)
Pages: 72
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202104017476
Language: English
Published: Oulu : N. Mayedo Rodríguez, 2021
Publish Date: 2021-04-01
Thesis type: Master's thesis (tech)
Tutor: Alves, Hirley
Reviewer: Alves, Hirley
Alcaraz López, Onel
Description:

Abstract

The Internet of Things (IoT) represents a substantial shift within wireless communication and constitutes a relevant topic of social, economic, and overall technical impact. It refers to resource-constrained devices communicating without or with low human intervention. However, communication among machines imposes several challenges compared to traditional human type communication (HTC). Moreover, as the number of devices increases exponentially, different network management techniques and technologies are needed. Data aggregation is an efficient approach to handle the congestion introduced by a massive number of machine type devices (MTDs). The aggregators not only collect data but also implement scheduling mechanisms to cope with scarce network resources.

This thesis provides an overview of the most common IoT applications and the network technologies to support them. We describe the most important challenges in machine type communication (MTC). We use a stochastic geometry (SG) tool known as the meta distribution (MD) of the signal-to-interference ratio (SIR), which is the distribution of the conditional SIR distribution given the wireless nodes’ locations, to provide a fine-grained description of the per-link reliability. Specifically, we analyze the performance of two scheduling methods for data aggregation of MTC: random resource scheduling (RRS) and channel-aware resource scheduling (CRS). The results show the fraction of users in the network that achieves a target reliability, which is an important aspect to consider when designing wireless systems with stringent service requirements. Finally, the impact on the fraction of MTDs that communicate with a target reliability when increasing the aggregators density is investigated.

see all

Subjects:
Copyright information: © Nelson Mayedo Rodríguez, 2021. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.