Blocking analysis of persistent resource allocations for M2M applications in wireless systems

Brown, Jason and Afrin, Nusrat and Khan, Jamil (2016) Blocking analysis of persistent resource allocations for M2M applications in wireless systems. Transactions on Emerging Telecommunications Technologies, 27 (11). pp. 1513-1529. ISSN 2161-3915

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Abstract

Wide area wireless systems conventionally employ dynamic scheduling for stochastic or bursty applications and persistent resource allocations of a given period for deterministic applications such as voice. When considering persistent resource allocations for machine-to-machine (M2M) applications from different markets, a wide range of allocation periods may be required to fully support the diversity of applications. The set of periods supported by the wireless system is a compromise between efficient use of the available resources and supporting as many M2M applications as possible. We consider two schemes: a simply periodic system which offers a limited set of periods with very efficient use of resources, and a complex periodic system which offers a wider range of periods at the cost of lower efficiency. We derive formulae for the blocking probability of these two systems by considering different resource sharing policies of the Erlang Multirate Loss Model (EMLM) and the concepts of packing (when a new persistent allocation is admitted to the system) and repacking (when an existing persistent allocation leaves the system). The theoretical models are verified using a discrete event simulation with variable offered traffic loads. The concepts discussed in this paper are generic, but may find particular application in Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX) networks for the purposes of system configuration (particularly in terms of the set of periods supported for persistent allocations), resource dimensioning and system performance characterisation.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 04 Dec 2018 05:28
Last Modified: 11 Dec 2018 03:31
Uncontrolled Keywords: LTE, M2M, IoT
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
10 Technology > 1005 Communications Technologies > 100510 Wireless Communications
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services
B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890104 Mobile Telephone Networks and Services
Identification Number or DOI: 10.1002/ett.3091
URI: http://eprints.usq.edu.au/id/eprint/35198

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