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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ojanperä, Tiia Luoto, Markus Ortiz, Jordi Myllyniemi, Mikko |
| Copyright Year | 2012 |
| Abstract | In the future, mobile Internet access is expected to be over heterogeneous technologies and with support for dynamic adaptation in order to adjust efficiently to the varying network availability and conditions. To remove the burden of multi-access network management from users and operators, cognitive network management mechanisms may be used for obtaining the required automation over several networking functions like access selection and routing. In this paper, we introduce a novel control and signaling architecture employing cognitive mechanisms in optimizing video stream delivery over multi-access networks. We also present a prototype implementation of the proposed system encompassing open source components and supporting Scalable Video Coding (SVC). The initial results obtained from an experimental evaluation show how our solution may be used for optimizing video stream delivery in multi-access networks according to a user or operator defined policy. |
| Starting Page | 492 |
| Ending Page | 505 |
| Page Count | 14 |
| File Format | |
| ISSN | 1383469X |
| Journal | Mobile Networks and Applications |
| Volume Number | 17 |
| Issue Number | 4 |
| e-ISSN | 15728153 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-06-10 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | cognitive networks adaptive video streaming network expert system Mobile IPv6 SVC Computer Communication Networks Communications Engineering, Networks Business Information Systems Electrical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Information Systems Hardware and Architecture Software |
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