Predictable QoS for Authorized/licensed shared spectrum
Towards meeting the growing traffic demands, wireless industry will need much more spectrum than the currently in use. Mimicking the success case of the 802.11 high spectrally efficient networks, novel spectrum policies are studied in order to meet the operators’ demands. Different wireless communication players propose the Authorized Shared Access (ASA) of the spectrum which, in contrast to the unlicensed version, a concrete number of transmitters are licensed to operate in a certain band under a determined set of time and coverage restrictions. The use of this novel license method is not only to provide a wider frequency band to the operators but also to ensure a certain QoS to the users in a full sharing fashion. Novel PHY/ACCESS techniques need to be envisioned in order to guarantee those target QoS and to enable dynamic satellite/terrestrial RRM for virtual Net operation. Moreover, user demands are currently evolving towards an any-time and any-where basis so that ASA networks will necessarily meet the satellite component.
The use of multibeam and multiple antenna in these networks is compulsory due to its capabilities for mitigating interference and its multiplexing gain in case both transmitter and receiver are equipped with antenna arrays (MIMO techniques) . Not only the interference will become the bottleneck communication but also the heterogeneous traffic demands which embrace from high video definition to battery powered sensor measurements. Concerning the satellite component, antenna and Signal Processing is necessary for proper interference mitigation in next generation High Throughput Satellite, which should meet the goals of terrestrial fiber links.
ASA networks will foster the use of techniques that employ a collaborative use of the spectrum which might need cloud services as an overlaying technology to coordinate transmitters from different operators. These services are meant to deal with a large amount of data signaling and information which might eventually collapse the backhaul infrastructure and; thus, Big Data techniques must be employed for levering the communication overhead generated from the coordination. Big data constitutes also the solution for dealing with the amounts of data generated by Internet of things applications that will become an important part of ASA networks.