Abstract: An approach is provided for providing cognitive radio information sharing. A cognitive radio management platform determines one or more cognitive radio parameters associated with one or more locations. The cognitive radio management platform also causes, at least in part, storage of the one or more cognitive radio parameters in at least one distributed information space constituted by one or more namespaces, wherein the one or more namespaces within the at least one distributed information space are accessible to one or more cognitive radio devices.

Abstract: An aspect of the exemplary embodiments of this invention is a method that includes receiving information from a plurality of spatially distributed user devices, where the information includes at least observations of a radio environment of each user device. Based on the received information, the method creates a model of time evolution of a spatio-temporal map for a plurality of spatial locations. The method further includes creating a policy based on the model of time evolution of the spatio-temporal map, and transmitting the policy to the plurality of user devices. A further aspect of exemplary embodiments of this invention is a method that includes generating a probabilistic model based at least on observations of a radio environment of a user device; transmitting the probabilistic model to a network access node of a wireless communication network; receiving information from the network access node; and operating the user device at least in part based on the received information.

Abstract: Methods and apparatuses are provided for providing augmented reality client application content to be enabled for one or more nodes. A method may include specifying a bounded area of a mesh network and associating content with the bounded area. The method may additionally include causing, at least in part, a peer-to-peer transmission of the content to one or more nodes within the bounded area over the mesh network. Corresponding apparatuses are also provided.

Abstract: In accordance with an example embodiment of the present invention, a device comprising one or more porous graphene layers, the or each graphene porous layer comprising a multiplicity of pores. The device may form at least part of a flexible and/or stretchable, and or transparent electronic device.

Abstract: An apparatus includes a deformable structure in which a neural network comprising a plurality of deformation sensors, e.g. nanowire sensors, and distributed in-situ processing circuits. The circuits generate a signal characterising features of the local deformation of the structure and/or a command signal corresponding to the detected deformation. The structure may be a wearable sleeve that conforms to deformations of a user's skin, part of an electronic device, such as a touch sensitive screen, or an object in itself. The apparatus can provide a user interface, wherein a command corresponding to a current shape of the structure is generated and acted upon by a integrated or remote device, or a device for monitoring a user's position or movement e.g. for replication by a robotic device. The apparatus may have machine learning capability to improve the matching of commands with determined shapes of the deformable structure.