Nokia

About: Nokia is a company organization based out in Espoo, Finland. It is known for research contribution in the topics: Signal & Mobile station. The organization has 16625 authors who have published 28347 publications receiving 695725 citations. The organization is also known as: Nokia Oyj & Oy Nokia Ab.

Dynamic content delivery responsive to user requests

Abstract: A method and system for establishing a dynamic content delivery system is disclosed. In one embodiment, a Bluetooth (103) enabled mobile communications unit is used to communicate with a server (105) in order to make a request for the delivery of specific content, such as a song, video, or the like, to a separate output device, such as a loudspeaker (109), a display screen (113), or the like. In another embodiment the content is delivered back to the requesting mobile communications device (111). In some embodiments, hybrid networks may be used for requesting and delivering content. A narrowband, bi-directional, unicast network may be used for requesting content and acknowledging the requests, while a broadband uni-directional, multicast network may be used to deliver the requested content to the requesting client device (111). The order in which the content is delivered may be modified by user requests according to a predetermined algorithm.

Heuristic Approaches to the Controller Placement Problem in Large Scale SDN Networks

Abstract: Software Defined Networking (SDN) marks a paradigm shift towards an externalized and logically centralized network control plane. A particularly important task in SDN architectures is that of controller placement, i.e., the positioning of a limited number of resources within a network to meet various requirements. These requirements range from latency constraints to failure tolerance and load balancing. In most scenarios, at least some of these objectives are competing, thus no single best placement is available and decision makers need to find a balanced trade-off. This work presents POCO, a framework for Pareto-based Optimal COntroller placement that provides operators with Pareto optimal placements with respect to different performance metrics. In its default configuration, POCO performs an exhaustive evaluation of all possible placements. While this is practically feasible for small and medium sized networks, realistic time and resource constraints call for an alternative in the context of large scale networks or dynamic networks whose properties change over time. For these scenarios, the POCO toolset is extended by a heuristic approach that is less accurate, but yields faster computation times. An evaluation of this heuristic is performed on a collection of real world network topologies from the Internet Topology Zoo. Utilizing a measure for quantifying the error introduced by the heuristic approach allows an analysis of the resulting trade-off between time and accuracy. Additionally, the proposed methods can be extended to solve similar virtual functions placement problems which appear in the context of Network Functions Virtualization (NFV).

Apparatus, a method and a computer program for video coding and decoding

Abstract: There is disclosed a method, an apparatus, a server, a client and a non-transitory computer readable medium comprising a computer program stored therein for video coding and decoding. Depth pictures from a plurality of viewing angles are projected into a single viewing angle, making it possible to have pixel-wise joint filtering to be applied to all projected depth values. This approach enables to suppress the noise in the depth map data and provides improved performance for a view synthesis.

Activity-Aware Mental Stress Detection Using Physiological Sensors

Abstract: Continuous stress monitoring may help users better under- stand their stress patterns and provide physicians with more reliable data for interventions. Previously, studies on mental stress detection were lim- ited to a laboratory environment where participants generally rested in a sedentary position. However, it is impractical to exclude the effects of physical activity while developing a pervasive stress monitoring appli- cation for everyday use. The physiological responses caused by mental stress can be masked by variations due to physical activity.