Software Defined Radio and Cognitive Radio
The vision behind software radio is to realize a radio’s communication specific signal processing, e.g. modulation and channel coding, as far as possible in software. Ideally, customized hardware could be replaced by a general purpose processor with D/A- and A/D-converters and amplifiers. This allows for highly flexible usage of the hardware.
CEL has been continuously involved in SDR projects since 1996. Based on this experience, CEL is now pursuing the evolution of software radios towards cognitive radios. Cognitive radios are self-learning intelligent software radios which are able to monitor their environment and to adapt to the actual conditions such as standards, channel properties, etc.
Furthermore, CEL organizes and hosts the biennial Karlsruhe Workshop on Software Radios.
Dynamic Spectrum Sharing and Statistics
With increasing demand for mobile communications and new applications, efficient usage of the available spectral resources gains importance. Due to the current static assignment of frequency bands by regulatory bodies, the current communication demand often exceeds the available resources.
One approach to dynamically adapt the available bandwidth is the concept of spectrum pooling, where unused frequencies are exploited by overlay systems. To assure reliable operation of the licensed system, the secondary user has to monitor the allocation of the licensed system continuously and to decide whether the spectrum is occupied by the licensed system.
By using a secondary market approach and treating operators equally, real-time license auctions can balance varying traffic demands over time and simultaneously satisfy market related expectations of the operators.
Another method is the usage of cooperative relay networks where several users pool their resources to create virtual antenna arrays in order to achieve spatial diversity.
A radio technology is considered ultra-wideband if the ratio of its bandwidth to its center frequency is greater than 20%, or if its bandwidth exceeds 500 MHz. Favorable features of ultra-wideband include transceivers of high data rates, low complexity and low power consumption, localization capabilities and radar technologies. Furthermore, it enables the secondary use of radio spectrum, resulting in more efficient spectrum usage. INT's projects in ultra-wideband focus on baseband transmission using very short pulses and deal with interference analysis, interference suppression and low-complexity transceiver concepts.
Industrial sensors such as photoelectric switches are widely used in factory and logistics automation where they are exposed to strong optical and electrical interference. In cooperation with industrial partners, new methods and algorithms for signal generation, detection and signal analysis, based on methods of digital signal processing and communication technology, are developed in order to realize solutions for robust and intelligent optical sensors. The scope of the work covers optical spreading, interference analysis and mitigation, and low-complexity analog-to-digital conversion techniques.
Based on INT's experience on spectrum pooling gained in the HYEFF project and on its continuing work on SDR, CEL became a member of the E2R consortium working on End-to-End Reconfigurability. With its knowledge acquired in the MiniWatt project of the German Federal Ministry of Research and Technology, CEL also joined the PULSERS (Pervasive Ultra-wideband Low Spectral Energy Radio Systems) consortium. E2R and PULSERS are integrated projects within the 6. research framework program of the European Union. Currently, CEL is partner in the 7. research framework program project Wireless Interoperability for Security (WINTSEC).
Furthermore, CEL participated in the DFG funded projects TakeOFDM and UKoLoS, dealing with overlay systems and ultra-wideband communications, respectively, and is now working in the project OFDM-based Overlay Systems (OOS).
Further scientific investigations at INT, e.g., on software defined radio, satellite communications, digital signal processing and radio signal analysis, are sponsored by governmental agencies or industrial partners.