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Collision Multiplicity Detection: Challenges, Solutions, and Impacts on Cellular Random Access
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab). (Techno Economic)ORCID iD: 0000-0002-5164-3597
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0125-2202
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-4986-6123
2020 (English)Conference paper, Published paper (Other academic)
Abstract [en]

In cellular and cellular-IoT systems, random access has the utmost importance as it is the gatekeeper that assures conflict-free access to radio resources. The main drawback of the legacy protocols lies at the collision resolution procedure as the base station (BS) is blind to the collision multiplicity and collided devices rely on the BSs for contention resolution. While contention resolution over the random access channel (RACH) is mature in the literature, most studies are following optimistic assumptions in which the full collision impact at the receiver is neglected, and a simplified model of partially overlapping packets is considered. This work is devoted to the investigation of a more realistic model of collision in cellular networks with the aim to investigate challenges and potential solutions in preamble detection in collision scenarios. The simulation results show that besides previously well-known challenges in dealing with collisions, the occurrence of collisions significantly increases the probability of false preamble detection.

Place, publisher, year, edition, pages
IEEE , 2020.
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-256518OAI: oai:DiVA.org:kth-256518DiVA, id: diva2:1346186
Conference
IEEE VTC-Spring
Note

Submitted. QC 20190903

Available from: 2019-08-27 Created: 2019-08-27 Last updated: 2019-09-03Bibliographically approved
In thesis
1. Cellular-Internet-of-Things Enablers:: A Techno-Economic Study of Wide Area Networks Connectivity and Platform Solutions
Open this publication in new window or tab >>Cellular-Internet-of-Things Enablers:: A Techno-Economic Study of Wide Area Networks Connectivity and Platform Solutions
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Internet of Things (IoT) services are gradually attaining the expected service growth rate estimated by market actors. New connectivity paradigms, like the low-power wide-area network (LPWAN), have emerged to address the immediate challenges of IoT connectivity service. In addition, a plethora of new connectivity and application platforms have been developed to support IoT services. Until now, the majority of IoT services have been small scale deployments or trials. The overall cost-effectiveness and scalability aspects of IoT service provisioning are still not well understood. Hence, the growth of IoT services requires attention from a multidisciplinary perspective to address the cost-efficient scalability of IoT communication and service platforms.The technical part of this thesis focuses on the impact of multiplicity on the physical random access channel (PRACH) performance. We investigate the performance limitations of the initial access resource allocation, considering the multiplicity effect on physical layer signature detection to ensure uniform accessibility of devices. The performance evaluation reveals that MAC-protocol designed for PRACH needs to consider the realistic impact of multiplicity on signature detection. Then, we propose an efficient algorithm to detect multiplicity with a higher confidence factor. We also investigate the trade-off of random-access collision and resource allocation utilisation to meet the IoT resource utilisation requirements. We propose a pool-based resource allocation procedure that uses supervised learning to optimise the performance of early data transmission (EDT). Our analysis suggests that with this approach, EDT can handle delay constraint IoT services efficiently.The economic part of the thesis addresses the cost-structure and scalability aspects of both connectivity and platform solutions. The overall research question is: "What factors are driving the costs of IoT connectivity and platform services and why?" We have developed a framework for cost structure analysis of IoT services. We present cost structure breakdown analysis for both IoT connectivity and IoT platform services. The evaluation results discuss conditions when a platform service provider should choose a platform as a service (PaaS), and when on-premises platform deployment is viable.The technical study contributes to shaping the assessment metrics of the random-access algorithm selection. This study proposes solutions to support heterogeneous IoT solutions in cellular-IoT systems. Furthermore, the study demonstrates the potential of supervised learning to optimise resource allocation. The proposed algorithm assures service scalability in terms of user density for massive-IoT, and delay constraint IoT use cases.The economic study is helpful for telecom managers and IoT service providers to understand the cost breakdown of IoT connectivity and platform solutions under a different scenario. The cost driver of different IoT communication technologies like LPWAN, LPLAN, and C-IoT can be estimated at a high level. The framework provides a comparison base which is helpful for the actors in the IoT domain to analyse and compare different service provisioning options.

Place, publisher, year, edition, pages
Stockholm: Kungliga Tekniska högskolan, 2019. p. 140
Series
TRITA-EECS-AVL ; 2019:64
Keywords
IoT, LPWAN, 5G, PRACH Contention Resolution, Multiplicity detection, Resource Allocation, Cost Structure.
National Category
Communication Systems
Research subject
Telecommunication; Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-256522 (URN)978-91-7873-276-0 (ISBN)
Public defence
2019-09-27, Sal-C, Electrum 229, SE-164 40 Kista, Sweden, Stockholm, 13:00 (English)
Opponent
Supervisors
Note

QC 20190905

Available from: 2019-09-05 Created: 2019-08-27 Last updated: 2019-09-10Bibliographically approved

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Hossain, Mohammad IstiakAzari, AminZander, Jens

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Citation style
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