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Spectrum seems to be the lifeblood of wireless communication, which is of high demand as the traffic doubles every year. This increasing demand drives towards 5G NR, which is expected to support 100 folds increase in mobile devices, gigabit user data rate, ultra-low latency, high traffic and ultra-reliability. Since most of the available spectrum has been saturated, new methods that make use of spectrum in efficient manner must be considered. Through flexible 5G NR framework, 5G is aimed to utilize shared/unlicensed spectrum. Cognitive radio is the key enabler for operating through shared/unlicensed spectrum. In this situation, network interference caused by secondary users (SU) in accessing the unlicensed band for cognitive radio can be overcome by implementation of efficient resource management techniques. The interference issue among SU can be minimized to a large extent by efficiently allocating the available spectrum. Fuzzy Analytic hierarchy process (FAHP) seems to be an appropriate solution for spectrum allocation among SU without creating interference among themselves. The mathematical model proves that FAHP allocated the spectrum to the best SU.

The connection to the Internet by full-mobile users, is expected to be of crucial importance for the success of radio mobile systems as UMTS. Such systems must support services like Web Browsing, the most popular Internet application today, which is characterized by high bit rate bursty asymmetric traffic and like Video Call, evolution of traditional speech service, which are characterized by high sensitivity to delays and more symmetric traffic.

While the resulting traffic is highly asymmetric, mobile air interfaces like UTRAN FDD have been initially designed as systems supporting asymmetric user traffic in an overall system symmetric traffic scenario.

This paper, outcome of the ongoing EU founded project OverDRiVE, focuses on downlink enhancements of the UTRAN FDD air interface and proposes specific resource management of additional radio spectrum in order to handle efficiently asymmetric traffic.