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RACH Dimensioning for Reliable MTC over Cellular Networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (COS)ORCID iD: 0000-0003-0125-2202
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.ORCID iD: 0000-0002-5164-3597
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
2017 (English)In: 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Institute of Electrical and Electronics Engineers (IEEE), 2017, article id 8108187Conference paper, Published paper (Refereed) [Artistic work]
Abstract [en]

Successful implementation of massive machine-type communications (MTC) service over cellular networks is an important enabler of Internet of things. As the existing cellular infrastructure has been designed and optimized for moderate traffic, the introduction of MTC in cellular networks results in several key challenges, among them, temporal starvation of initial access resources is of paramount importance. Here, we propose a new traffic model for cellular networks serving machine-type subscribers. This model is subsequently used to derive closed-form expressions for the access rate performance of the system. This closed-form expression are subsequently used for RACH resources planning in the time and frequency domains. Given a target access rate requirement, numerical analysis indicates how and when the required RACH resources in the code/frequency domain, i.e. number of preambles, can be traded with the occurrence frequency of RACH slots in the time domain.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. article id 8108187
Series
IEEE Vehicular Technology Conference, ISSN 1550-2252 ; 2017
Keywords [en]
M2M, MTC, IoT, Massive access, 5G, Cellular networks
Keywords [fa]
مخابرات ماشین به ماشین، نسل پنج، قابلیت اطمینان، شبکه ی سلولی
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-200680DOI: 10.1109/VTCSpring.2017.8108187ISI: 000426875800007Scopus ID: 2-s2.0-85040634455ISBN: 9781509059324 (print)OAI: oai:DiVA.org:kth-200680DiVA, id: diva2:1070200
Conference
85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, Australia, 4 June 2017 through 7 June 2017
Note

QC 20170201

Available from: 2017-01-31 Created: 2017-01-31 Last updated: 2018-05-04Bibliographically approved
In thesis
1. Designing Efficient Access Control to Comply Massive-Multiservice IoT over Cellular Networks
Open this publication in new window or tab >>Designing Efficient Access Control to Comply Massive-Multiservice IoT over Cellular Networks
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Internet of Things (IoT) has come in reality to improve our living quality. Automation is embraced in all the possible business verticals that have diverse communication needs ranged from static devices’ sporadic transmission to mobile devices’ every minute transmission. Despite, there are many technologies available today to support IoT services; cellular systems can play a vital role for IoT services, like wearables, vehicular, and industrial IoT, rollout which have either mobility or security concern. 

IoT services generated traffic are foreseen as a sporadic-bursty traffic. As the cellular networks are designed to serve continuous data traffic, the existing system’s access control mechanism cannot efficiently conform to the burstiness of traffic. This limits the scope of the network scalability in terms of simultaneous serving devices’ capacity. Also, this bursty pattern can extensively increase the rate of network’s congestion incident. In this thesis, we focus on these underlying challenges to support a large number of heterogeneous IoT services with existing services over the same radio network. An important question for supporting IoT services over cellular networks is how detrimental are the effects of IoT services on other services of cellular networks. This dissertation seeks to answer this with quantitative results to indicate the real constraints of existing networks.

An important conclusion is that existing cellular system is incompetent to support the bursty arrival of massive IoT devices in terms of radio networks’ access control plane’s scalability. Therefore, this dissertation presents solutions to overcome the identified limitations of access control planes. To improve the performance of the access control plane, we incorporate a vertical core network controlled group management scheme that can assure the operator’s granular control over capillary gateways. Besides, this introduces a unique handover opportunity between cellular and capillary network vertices. Then, we present a simple but efficient initial access mechanism to overcome the initial access collision at the very early stage. Finally, we show the impact of access collision and retransmission on the initial access resource dimensioning.We present a practical traffic model that is realistic for the traffic scenario for mixed-traffic. Our presented results and analysis depict the trade-offs between access rate, retransmission and resource allocation over time and frequency.Our results reveal that with proposed schemes of the cellular system’s access control plane can be scalable and resilient to accommodate a large number of IoT devices without incurring extra delay or need of resources to the system.

Place, publisher, year, edition, pages
Stockholm: Kungliga Tekniska högskolan, 2017. p. 67
Series
TRITA-ICT ; 2017:18
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-214974 (URN)978-91-7729-547-1 (ISBN)
Presentation
2017-11-10, Sal A (Sal östen Mäkitalo), Kungl Tekniska högskolan, Kistagången 16, Kista, Stockholm, 11:00 (English)
Opponent
Supervisors
Note

QC 20170928

Available from: 2017-10-02 Created: 2017-09-27 Last updated: 2017-10-04Bibliographically approved

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Publisher's full textScopushttp://ieeevtc.org/vtc2017spring/

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