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Grant-Free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-4006-5848
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0125-2202
Ericsson AB, Stockholm, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0525-4491
2018 (English)In: IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc. , 2018Conference paper, Published paper (Refereed)
Abstract [en]

IoT networks with grant-free radio access, like SigFox and LoRa, offer low-cost durable communications over unlicensed band. These networks are becoming more and more popular due to the ever-increasing need for ultra durable, in terms of battery lifetime, IoT networks. Most studies evaluate the system performance assuming single radio access technology deployment. In this paper, we study the impact of coexisting competing radio access technologies on the system performance. Considering K technologies, defined by time and frequency activity factors, bandwidth, and power, which share a set of radio resources, we derive closed-form expressions for the successful transmission probability, expected battery lifetime, and experienced delay as a function of distance to the serving access point. Our analytical model, which is validated by simulation results, provides a tool to evaluate the coexistence scenarios and analyze how introduction of a new coexisting technology may degrade the system performance in terms of success probability and battery lifetime. We further investigate solutions in which this destructive effect could be compensated, e.g., by densifying the network to a certain extent and utilizing joint reception.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018.
Keywords [en]
Battery lifetime, Interference modelling, IoT, LoRa, LPWA network, Cellular radio systems, Electric batteries, Internet of things, Radio communication, Closed-form expression, Radio access technologies, Scalability analysis, Success probabilities, Transmission probabilities, Radio transmission
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-238064DOI: 10.1109/ICC.2018.8422890Scopus ID: 2-s2.0-85051418678ISBN: 9781538631805 (print)OAI: oai:DiVA.org:kth-238064DiVA, id: diva2:1278586
Conference
2018 IEEE International Conference on Communications, ICC 2018, 20 May 2018 through 24 May 2018
Note

Conference code: 138282; Export Date: 30 October 2018; Conference Paper; Funding text: This study is supported by EU Celtic Plus Project SooGREEN Service Oriented Optimization of Green Mobile Networks.

QC 20190114

Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved

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Masoudi, MeysamAzari, AminCavdar, Cicek

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