Multi-radio resource management for ambient networks

Berggren, Fredrik; Bria, Aurelian; Badia, Leonardo; Karla, Ingo; Litjens, Remco; Magnusson, P.; Meago, F.; Tang, Haitao; Veronesi, R.

doi:10.1109/pimrc.2005.1651580

Cited by 22 publications

(8 citation statements)

References 8 publications

(10 reference statements)

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“…Among these, the Ambient Networks project, a part of the FP6, is in the most advanced stage. It has developed a generic multi-radio access architecture [1] and a conceptual framework for access selection and resource allocation by joint radio resource management across different RATs [2].…”

Section: Related Workmentioning

confidence: 99%

Common radio resource management for access selection in multi-access networks

Jin

Choi

Kim³

et al. 2008

2008 IEEE Radio and Wireless Symposium

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Abstract-In this paper, we address the problem of access selection in multi-access networks. As admission and handover process durations are in the order of seconds and decentralized decisions are made over multiple cells spread over the network, such decisions have to be made quickly and in a distributed manner while keeping the network stable and its load balanced. We propose a utility-based approach to access selection. In this model, policies governing the network operations are embodied in the design of marginal utility functions and decisions are made using minimal computations. Developed algorithms are then evaluated using a Java-based multi-access simulator called MANSim that we developed.

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Section: Related Workmentioning

confidence: 99%

Common radio resource management for access selection in multi-access networks

Jin

Choi

Kim³

et al. 2008

2008 IEEE Radio and Wireless Symposium

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“…The other more advanced solution we propose is to complement PMIPv6 by a Multi-Radio Resource Management (MRRM) [15]. The MRRM consists of measurement and mobility control components in the MN and another control unit in the operator's network, e.g.…”

Section: B Pmipv6 Extension To Multiple Interfacesmentioning

confidence: 99%

“…3). For a detailed description of MRRM, it is referred to [1,15]. The network side MRRM continuously receives measurements on candidate radio access networks and may command the MN to activate a certain interface.…”

Section: B Pmipv6 Extension To Multiple Interfacesmentioning

confidence: 99%

Network-based Mobility with Proxy Mobile IPv6

Müeller

Blume

2007

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

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This paper presents a handover delay analysis of networkbased handovers with Proxy Mobile IPv6 and compares its performance to Mobile IPv6. Recommendations are given to avoid excessive handover delays due to timer and configuration mechanisms in the IPv6 specification. Furthermore, extensions are proposed to make Proxy Mobile IPv6 applicable to makebefore-break handovers in multi-interface scenarios. Finally, by leveraging functions of a Multi-Radio Resource Management, handover execution can be adapted to the actual radio conditions on the terminal.

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“…This is a particular problem associated with adaptive CoD delivery, which continuously adapts itself to the observed performance, especially when there are several radio resource options available that can dynamically be selected. Previous research in the field of cognitive radio (CR) resource management has considered opportunistic resource sharing (such as within [1][2][3][4]). However, application of these techniques to adaptive OTT CoD media delivery introduces different problems related to the adaptive nature of the application traffic and associated fairness considerations, outlined in [5], which will interact with the dynamic channel state estimation and modelling approach.…”

Section: Introductionmentioning

confidence: 99%

Adaptive cognitive media delivery over composite wireless networks

Farnham

2011

J Wireless Com Network

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Over-the-top (OTT) content-on-demand (CoD) media delivery should ideally adapt to the available resources in an opportunistic manner. The dynamic nature of the Internet traffic and wireless local area networking technologies, which are typical within the home, must be considered in order to efficiently use resources without the need and limitations associated with centralised or fixed allocation of resources. It is also undesirable for devices to continuously monitor the available channels, especially if they are battery powered. Therefore, cooperation between devices and modelling of the dynamic adaptive traffic and terminal behaviour is necessary in order that the most suitable resource sharing strategies are employed. This article examines the exploitation of cognitive resource management for delivery of OTT CoD within unmanaged wireless environments. Channel and traffic models are derived based on the Markov modulated Poisson process and this knowledge is used to derive optimal resource sharing policies. Results from simulation and experimental implementation are presented.

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Multi-radio resource management for ambient networks

Cited by 22 publications

References 8 publications

Common radio resource management for access selection in multi-access networks

Common radio resource management for access selection in multi-access networks

Network-based Mobility with Proxy Mobile IPv6

Adaptive cognitive media delivery over composite wireless networks

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