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Multichannel admission control for military training network
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Saab Training and Simulation, Huskvarna, 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: 0000-0002-6526-3931
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
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
2015 (English)In: 2015 IEEE 18th International Symposium on Real-Time Distributed Computing (ISORC) / [ed] Lisa O’Conner, Los Alamitos, CA: IEEE Computer Society, 2015, 150-157 p.Conference paper, Published paper (Refereed)
Abstract [en]

A military training radio network requires support for a large number of mobile nodes with heterogeneous traffic and real-time requirements. We propose a deterministic protocol and an admission control using real-time analysis for a centralized radio network with a multichannel base station. The admission control implements an algorithm for frequency allocation to mobile nodes, and guarantees timely treatment of real-time traffic. The proposed online heuristic frequency allocation algorithm is compared to other known heuristic algorithms: round robin over channels and fill one channel first. The goal with the heuristic algorithms is to maximize the number of supported mobile nodes. Our results show that when the high utilization part of the traffic have shorter deadlines it is advantageous to differentiate different types of nodes onto separate frequencies, whilst if the deadline is increased it is advantageous to mix different types of nodes on each frequency. © Copyright 2015 IEEE

Place, publisher, year, edition, pages
Los Alamitos, CA: IEEE Computer Society, 2015. 150-157 p.
Keyword [en]
Military training radio networks, real-time guarantees, admission control, EDF scheduling, MAC, multichannel
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-29203DOI: 10.1109/ISORC.2015.28ISI: 000380606500019Scopus ID: 2-s2.0-84962891450ISBN: 978-1-4799-8781-8 OAI: oai:DiVA.org:hh-29203DiVA: diva2:846303
Conference
2015 IEEE 18th International Symposium on Real-Time Distributed Computing (IEEE ISORC), Auckland, New Zealand, Apr. 13-17, 2015
Available from: 2015-08-15 Created: 2015-08-15 Last updated: 2017-12-11Bibliographically 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.
Series
Halmstad University Dissertations, 16
National Category
Communication Systems
Identifiers
urn:nbn:se:hh:diva-29337 (URN)978-91-87045-34-9 (ISBN)978-91-87045-35-6 (ISBN)
Presentation
2015-09-21, Haldasalen, House Visionen, Kristian IV:s väg 3, Halmstad, 10:15 (English)
Opponent
Supervisors
Note

Examiner: Professor Walid Taha, Halmstad University

Available from: 2015-09-15 Created: 2015-08-31 Last updated: 2016-06-09Bibliographically approved
2. Managing Radio and Energy Resources in LTE-Based Military Training Networks
Open this publication in new window or tab >>Managing Radio and Energy Resources in LTE-Based Military Training Networks
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The number of wireless connected devices are growing exponentially and the importance of this research area is growing as well to meet the known and looming challenges and expectations. The 5:th Generation telecommunications standard is partly embodied by the Machine-to-Machine (M2M) and Internet of Things (IoT) technologies and standards to handle a big part of these devices and connections. An example within the IoT paradigm is military training systems where each system can consist of thousands of battery operated mobile devices and their shifting requirements shall be fullled in an energy-aware manner to increase battery operating times.

Military training radio networks enables realistic combat training. The services and features provided in commercial telecommunications networks are desirable in these often proprietary and task specic networks, increasing capabilities and functionalities. To facilitate the current and future R&D of LTE based networks for adoption in military training networks and services this doctoral thesis intends to provide the starting ground for the energy-aware LTE based wireless communications. The thesis first presents general solutions on how to meet traffic deadlines in wireless networks for large number of nodes, and then continues with solutions for energy-aware LTE-based communications for the User Equipments (UEs).

The work builds on the problem formulation how to provide energy-aware resource handling for LTE-based military training networks from where three research questions are derived. From the research questions we derive different hypotheses and then test these within the investigated area to answer the research questions.

The contributions of this work are within areas of resource handling and power saving for mobile devices. In the first area an admission control using deterministic analysis is proposed fullling traffic requirements for military training mobile nodes. This admission control is enhanced for multiple-channel base stations, and evaluated using mobile nodes with different heterogeneous traffic requirements. In the second part energy-awareness is in focus for LTE/LTE-A based networks. The main power saving method for LTE/LTE-A UEs, Discontinuous Reception (DRX) mechanism, is evaluated and models for DRX in Idle and Connected state are proposed including metrics for wake-up delay and power saving. Additionally a mean queuing delay analysis is proposed for a variant of the Connected state DRX. Using these models and metrics, practical design guidelines for tuning of DRX parameters are proposed, including optimization of DRX parameters for either minimizing delay or maximizing power saving.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2017. xi, 16 p.
Series
Halmstad University Dissertations, 38
Keyword
4G, 5G, LTE, DRX
National Category
Communication Systems
Identifiers
urn:nbn:se:hh:diva-35807 (URN)978-91-87045-79-0 (ISBN)978-91-87045-78-3 (ISBN)
Public defence
2017-12-01, Halda Hall, Building Visionen, Kristian IV:s väg 3, Halmstad, 10:15 (English)
Opponent
Supervisors
Available from: 2017-12-12 Created: 2017-12-11 Last updated: 2017-12-12Bibliographically approved

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