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Satellite communicationsThe increasing popularity of nanosatellites, e.g. in Cubesat form factor, requires new types of radio links delivering high-throughput and high-reliability communications for downloading the data from satellite payload. Research in the area of satellite communications focuses on baseband/physical layer, as well as data-link-layer algorithms and protocols which can be used for the development of cheap communication modules implemented using the Software Defined Radio (SDR) technique. In particular, energy-efficient modulation types are investigated, having in mind the limited power available onboard the satellite. Due to the tight radio link budget, advanced synchronization and channel coding schemes are considered as well. Machine learning based algorithms for optimum transmission parameters selection is another field of interests. The selected solutions are implemented using the Software Defined Radio technique, based on off-the-shelf SDR platforms and general-purpose processors, as well as dedicated hardware including FPGA chips and integrated transceivers. Cognitive radio systemsResearch in the area of cognitive radio technologies includes theoretical studies and experimental trials on the acquisition of context information related to the radio environment, machine learning methods for the improvement of the quality of this information, as well as the principles of signal transmission in radio communication networks using it. In particular, the research focuses on autonomous and cooperative sensing and spectrum sharing policies based on either centralized or distributed coordination of dynamic spectrum access. Radio Environment Maps (REMs) are being investigated for their use in cognitive radio systems for the reduction of interference between systems utilizing a range of the radio frequency band. Moreover, physical-layer algorithms are being investigated that increase the spectral efficiency of systems with frequency-neighboring signal spectra.