On the scalability of uncoordinated multiple access for the Internet of Things

Giovanni Chisci, Hesham Elsawy, Andrea Conti, Mohamed-Slim Alouini, Moe Z. Win

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

The Internet of things (IoT) will entail massive number of wireless connections with sporadic traffic patterns. To support the IoT traffic, several technologies are evolving to support low power wide area (LPWA) wireless communications. However, LPWA networks rely on variations of uncoordinated spectrum access, either for data transmissions or scheduling requests, thus imposing a scalability problem to the IoT. This paper presents a novel spatiotemporal model to study the scalability of the ALOHA medium access. In particular, the developed mathematical model relies on stochastic geometry and queueing theory to account for spatial and temporal attributes of the IoT. To this end, the scalability of the ALOHA is characterized by the percentile of IoT devices that can be served while keeping their queues stable. The results highlight the scalability problem of ALOHA and quantify the extend to which ALOHA can support in terms of number of devices, traffic requirement, and transmission rate.
Original languageEnglish (US)
Title of host publication2017 International Symposium on Wireless Communication Systems (ISWCS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages402-407
Number of pages6
ISBN (Print)9781538629130
DOIs
StatePublished - Nov 16 2017

Fingerprint

Dive into the research topics of 'On the scalability of uncoordinated multiple access for the Internet of Things'. Together they form a unique fingerprint.

Cite this