Innovation

Today's wireless networks are challenged to keep up with the constantly increasing demand by mobile devices for higher data rates, lower energy consumption, and ever more bandwidth. According to the recent Ericsson Mobility Report [1] the number of mobile subscribers in the first quarter of 2017 totaled nearly 7.6 billion. Moreover, the communication of billions of machines and devices that are expected to comprise the Internet of Things poses even greater challenges, never encountered before. That is why 5G wireless communication is the focus of research and industry interest, aiming at achieving 1000 times the system capacity; 10 times the energy efficiency, data rate, and spectral efficiency; and 25 times the average mobile cell throughput compared with today's 4G [2]. Technologies that look promising for 5G include cognitive radio networks, dynamic spectrum access and spectrum sharing [3]. They are seen as the main methods to improve spectrum utilization efficiency. Unlicensed users (secondary users) will have an opportunity to use the allocated spectrum band when not in use by legitimate users (primary users). In order to use the available bandwidth, secondary users, i.e., the unlicensed users of an opportunistic-access system, have to acquire the radio-environment context information, either by accessing adequately (frequently) updated databases or by sensing the spectrum-activity for the presence of primary users. This activity detection should not only be reactive but from a secondary user point of view, it is also desirable to predict spectrum occupation and availability in specific periods of time.

All article you will be able to find by following this link - https://ieeexplore.ieee.org/document/8406715/authors#authors