Cognitive Infocommunications (CogInfoCom) studies the connections between infocommunications and cognitive experiences. This paper presents a practical performance evaluation of an active antenna system (AAS) based on tests performed in a field trial environment with a cellular high-speed packet access (HSPA) network. Cellular networks face the challenges of constantly growing data traffic and demands to reduce network costs, which call for new approaches for optimizing network performance. The demands in different parts of the cellular network change because of the spatially and temporarily varying usage characteristics. An AAS can offer a solution to these demands with flexible beamforming to respond to the changing situations in the network. This study shows that the AAS can gain improvements in system performance in terms of achievable throughputs. The spatial cell isolation needs to be taken care of in order to maintain optimal system operation by avoiding inter-cell interference. Since the changing radio network requires continuous optimization, an AAS needs intelligent control for full advantage. This can be accomplished with cognitive decision making by exploiting Self-Organizing Networks (SON) features. Later, network performance optimization with an AAS could use "cognitive engines" to intelligently add sectors where capacity is needed and switch them off when the capacity demand decreases. Cognition combined with an AAS could optimize the network and adjust the AAS parameters according to different needs in the changing environment.
Geographic information system (GIS) is traditionally used with desktop computers. The development of embedded, wireless, and positioning technologies have opened possibilities to apply GIS in new application areas and conditions. In this research area interoperability issues have been regognized to be one of the main challenges of in situ measurements in geosensor network (GSN) when using low-rate communication. We will present in this paper our first experiences about how to use geosensor network nodes and interoperable communication together with our location-aware system platform called Locawe. In the designed system GSN nodes are supporting IPv6 Packets over IEEE 802.15.4 (6LoWPAN) specification and are integrated with a GPS receiver. In addition in the designed system, GSN nodes can be used with mobile devices based on Open Geospatial Consortium (OGC) SensorML standard and Binary XML best practices specification. As a result interoperable communication was tested successfully with two different kinds of mobile devices. On the other hand results show that better compressions are still needed for more efficient communication in low-rate networks.
In this seminar, advanced car navigation services will be introduced. In the future, mobile phones will be our main source of information, both inside vehicles and on the roadside. Furthermore, high speed connections will enable data exchange between nearby vehicles. In this advanced seminar, CENTRIA s usage of Nokia Ovi Maps interface will be introduced as an example of a situation aware traffic service. CENTRIA has used a wireless sensor network (2,4GHz) as well as an ODB2 bus for a vehicle communication channel. In addition, information about the driver's health condition was accessed using wireless heart-rate sensors. Roadside environmental information, in turn, was collected using roadside sensors at a frequency of 868MHz. This advanced seminar will also demonstrate how sensor information can be visualized in car navigation. First of all, CENTRIA gained roadside visualization experience and in vehicle sensor information from their experience with Nokia Ovi Maps. CENTRIA is able to visualize collected sensor data, such as weather, driver, and vehicle information, by utilizing the Nokia Terminal Mode. In addition, critical information, such as alarms, can be accessed from the server through the Nokia Push Notification service, even when navigation services are not in use. All the participants will have an opportunity to test the system.
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