Tampere University of Technology

TUTCRIS Research Portal

Improving reliability of replicated message delivery in cellular machine-type communications

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
PublisherIEEE
Pages106-110
Number of pages5
ISBN (Electronic)978-1-4673-8818-4
DOIs
Publication statusPublished - 5 Dec 2016
Publication typeA4 Article in a conference publication
EventInternational Congress on Ultra Modern Telecommunications and Control Systems -
Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)2157-023X

Conference

ConferenceInternational Congress on Ultra Modern Telecommunications and Control Systems
Period1/01/00 → …

Abstract

In this paper, we introduce a novel approach for cellular machine-type communications (MTC) based on random access transmissions. It targets a substantial increase in the probability of message delivery at the first transmission attempt. This may be achieved by sending multiple message replicas across a set of transmission opportunities (in time, code, or frequency), which are shared between all the potential MTC devices. For the considered class of access algorithms, we propose the optimal scheme with centralized control that delivers the maximum success probability. This developed approach together with the conventional baseline method (with a single replica) is analyzed in the meta-stable state, and a performance estimate is obtained. Our numerical results - supported by both analysis and simulations - confirm a significant improvement in terms of the probability of immediate message delivery comparing to the conventional transmission, as well as indicate a potential gap with respect to the derived upper bound.

Keywords

  • Analytical models, Numerical models, Reliability, Sociology, Statistics, Throughput, Upper bound

Publication forum classification