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Learning and detection mechanisms of spectral-activity information towards energy efficient 5G communication

The context information on spectral occupation and prediction of communication activity over various frequency bands will play a key role in the energy-efficient operation and co-existence of future networks, consisting of human-centric systems along with machine-to-machine communications. When addressing the spectrum-scarcity challenge, the scenarios can be dynamic in space and time, so self-adapting systems will prevail in 5G networks. The main goal of this article is to overview the benefits and drawbacks of sensing and learning methods in the context of future 5G communications.