Distributed information service architecture for overlapping multiaccess networks

Mäkelä, Jukka; Luoto, Markus; Sutinen, Tiia; Pentikousis, Kostas

doi:10.1007/s11042-010-0589-9

Cited by 11 publications

(13 citation statements)

References 17 publications

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“…The prototype implementations, however, included fairly simple decision logics, thus leaving room for future development. As stated already, the work reported in Paper III was continued in Mäkelä et al [95] and in Paper V, which is included in this thesis. The multipath streaming concept, however, was noticed to be more challenging as current video players lack support for receiving video over multiple RTP sessions.…”

Section: Discussionmentioning

confidence: 77%

“…The latter approach is adopted for prototyping in this dissertation. The interested reader is directed to the numerous publications related to the TRG concept, prototype performance evaluation, and its use in heterogeneous networking scenarios, including, for example, [49,[92][93][94][95][96]. In addition, some of the studies include the co-use of MIH and TRG in providing the required cross-layer signaling for optimized video transfer [20,97].…”

Section: Triggering Frameworkmentioning

confidence: 99%

“…During the tests, both of the WLANs had a similar RSS, and the reregistrations to the HA always got through the network. The approach was thus considered feasible, and the work was continued in Mäkelä et al [95] by integrating more advanced and autonomous mechanisms for detecting the AN conditions and defining the Distributed Control and Management Framework (DCMF) concept for the management of heterogeneous multi-access networks.…”

Section: Mobile Ip Handover Performance Enhancementmentioning

confidence: 99%

“…Different roles may be envisioned for the AQPE, depending on the realization of the multi-homing support, and whether the AQPE is integrated as a part of a distributed network management architecture such as [95,96] or not. The different approaches are discussed in Paper IV.…”

Section: Multipath Video Streamingmentioning

confidence: 99%

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Cross-layer optimized video streaming in heterogeneous wireless networks

Ojanperä¹

2013

SIGMultimedia Rec.

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This dissertation studies the impact of heterogeneous wireless networks on the design and implementation of mobile video streaming services. The aim is to enable Quality of Service (QoS) sensitive video streaming services to take full advantage of the access diversity of heterogeneous networks in order to optimize their operation in terms of quality and efficiency of network resource usage. This nevertheless requires support beyond the layered communication architecture of today's Internet.The thesis proposes an architecture for end-to-end cross-layer signaling and control for video streaming systems. The architecture supports extensive context information transfer in heterogeneous networks; thus, enabling the efficient management of video stream adaptation and user terminal mobility in a diverse and dynamic network environment. This thesis also studies and proposes cross-layer enhancements for adaptive video streaming and mobility management functions enabled by the cross-layer architecture. These include cross-layer video adaptation, congestion-triggered handovers, and concurrent utilization of multiple access networks in the video stream transport. For the video adaptation and multipath transmission, the flexible adaptation and transmission capabilities of the novel scalable video coding technology are used. Regarding the mobility management, the proposed solutions essentially enhance the handover decision-making of the Mobile IP protocol to better support QoS-sensitive video streaming. Finally, the thesis takes a holistic view on the application adaptation and mobility management, and proposes a solution for coordinated control of these two operations in order to achieve end-toend optimization.The resulting mobile video streaming system architecture and the cross-layer control algorithms are evaluated using network simulations and real prototypes. Based on the results, the proposed mechanisms can be seen to be viable solutions for improving video streaming performance in heterogeneous wireless networks. They require changes in the communication end-points and the access network but support gradual deployment. This allows service providers and operators to select only a subset of the proposed mechanisms for implementation. The results also support the need for cross-layer signaling and control in facilitating efficient management and utilization of heterogeneous wireless networks.

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Section: Discussionmentioning

confidence: 77%

Section: Triggering Frameworkmentioning

confidence: 99%

Section: Mobile Ip Handover Performance Enhancementmentioning

confidence: 99%

Section: Multipath Video Streamingmentioning

confidence: 99%

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Cross-layer optimized video streaming in heterogeneous wireless networks

Ojanperä¹

2013

SIGMultimedia Rec.

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“…Distributed Decision Engine (DDE), similar to [5], is our approach for autonomous load balancing/resource management, and for the complexity problem introduced before. It is built on top of the idea of having a general distributed publish-subscribe message delivery system, which defines a common interface for different information producers, decision algorithms and configuration enforcement entities.…”

Section: Scenario For Load Balancing In Multiaccess Environmentmentioning

confidence: 99%

A Multiaccess Enabled Load Balancing in Cognitive Networks

Rautio

Mäkelä

2012

Dependable Networks and Services

Self Cite

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Abstract. During the last years, the increasing complexity of the communication networks and the continuously growing amount of data traffic has created great challenges for the network and service management. The Univerself project is currently designing a novel Unified Management Framework (UMF) consolidating autonomic and cognitive methods of the future Internet for business-driven service and network management. In this paper we describe our ongoing work with one of the validation scenarios for autonomous load balancing in a wireless multiaccess environment. In the proof-of-concept prototype, we concentrate on monitoring of network nodes and autonomous resource optimization by using a Distributed Decision Engine and a multiaccess capable access selection. In addition, we introduce the required key components and place them into the scenario. At the end of the paper, we draw up the future plans.

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