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Performance Evaluation of LTE/LTE-A DRX: A Markovian Approach
SAAB Training and Simulation, Husqvarna, Sweden.ORCID iD: 0000-0002-3933-285X
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-4894-4134
2015 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, no 3, 386-397 p., 7303883Article in journal (Refereed) Published
Abstract [en]

LTE/LTE-A are emerging communication technologies on the way towards 5G telecommunication systems. Ubiquitous adoption of connectivity in between different kinds of sensors, wearable devices and other low-power equipment raises an importance of the energy-efficient wireless communications. In LTE/LTE-A the Discontinuous Reception Mechanism (DRX) aims at power saving of User Equipment (UE) devices. In the paper we present an analysis of DRX, which is novel in two dimensions. First, our analytical approach is different to existing ones due to the use of Markov chain instead of a semi-Markov ones. Secondly, along with the generic traffic models we also analyze the efficiency of DRX for military training application systems, what has not been done before. We suggest few practical recommendations regarding the DRX parameters tuning also. © 2015 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2015. Vol. 3, no 3, 386-397 p., 7303883
Keyword [en]
LTE/LTE-A, DRX, power saving, energy efficiency, wake-up delay, machine-to-machine communication, military training, IoT
National Category
Communication Systems
URN: urn:nbn:se:hh:diva-29336DOI: 10.1109/JIOT.2015.2493370ISI: 000377481700013ScopusID: 2-s2.0-84969821510OAI: diva2:850102
Available from: 2015-08-31 Created: 2015-08-31 Last updated: 2016-07-19Bibliographically approved
In thesis
1. Resource handling for military training networks
Open this publication in new window or tab >>Resource handling for military training networks
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Connected devices are increasing steadily and the number of devices will in soon future be so massive that they are impacting the next generation of wireless standards and are already being considered in them. Machine-to-Machine (M2M) communications and Internet of Things (IoT) sub fields of wireless communications have developed lately with their own research fields and forums. 

Military training systems are using radio networks of connected devices to provide realistic combat training with new trends of multimedia streaming and lower traffic latency requirements. To facilitate further development of the networks a research goal is formulated to target the improvement of the network in the desired direction. The research goal is to answer how to provide energy efficient wireless communications within the framework of the military training application, meeting requirements of delay, number of network nodes and power efficiency for mobile devices and is broken down to three separate research questions that are each targeted separately as below.

We have developed an admission control with real-time analysis for a single-frequency base station for mobile nodes with real-time traffic. This scope has been extended to an admission control for a multichannel base station where we also proposed a method on how to maximize the number of mobile nodes, with different traffic requirements including multimedia traffic, in the network. Finally a probabilistic model has been proposed for the Discontinuous Reception (DRX) power saving mechanism for LTE/LTE-A in the 4:th Generation (4G) telecommunications standard. It was also shown how to meet traffic delays while maximizing the power saving factor in the mobile nodes.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2015. 15 p.
Halmstad University Dissertations, 16
National Category
Communication Systems
urn:nbn:se:hh:diva-29337 (URN)978-91-87045-34-9 (ISBN)978-91-87045-35-6 (ISBN)
2015-09-21, Haldasalen, House Visionen, Kristian IV:s väg 3, Halmstad, 10:15 (English)

Examiner: Professor Walid Taha, Halmstad University

Available from: 2015-09-15 Created: 2015-08-31 Last updated: 2016-06-09Bibliographically approved

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