Fuzzification supported spectrum decision framework for cognitive radio networks

Abstract

Efficient decision support framework and swift occupation of the available licensed spectrum slot by secondary users (SUs) are the challenging issues in cognitive radio networks. An SU has to sense multiple target frequency spectrum slots in the shortest possible time before deciding to select and occupy the best idle slot for its transmission. A spectrum decision framework for the SUs in cognitive radio networks based on fuzzy logic is proposed. The activity time, possession, and quality of service of the spectrum slot lead to the decision of occupying the available spectrum slot(s). The proposed decision framework ensures that the SU's transmission in the particular spectrum slot does not cause any interference with the licensed user of the slot. The proposed method yields enhanced throughput as compared with the existing channel assignment schemes.

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

“…The existing policy of spectrum allocation works on static mode, where the available frequency spectra are divided into subbands. Each subband is exclusively assigned to the specific service provider, known as licensed user or primary user (PU) . However, based on the recent published reports of Federal Communications Commission in USA and few other regulatory bodies, eg, Office of Communications in UK, it is found that major portions of the allocated RF spectra are underutilized by the licensed users .…”

“…Each subband is exclusively assigned to the specific service provider, known as licensed user or primary user (PU) . However, based on the recent published reports of Federal Communications Commission in USA and few other regulatory bodies, eg, Office of Communications in UK, it is found that major portions of the allocated RF spectra are underutilized by the licensed users . Cognitive radio (CR) communication mitigates this spectrum underutilization problem by allowing the CR/secondary users (SUs) either to access the spectrum opportunistically (when PU is not transmitting) or share the same frequency band with PU subject to meeting its tolerable interference .…”

“…Cognitive radio (CR) communication mitigates this spectrum underutilization problem by allowing the CR/secondary users (SUs) either to access the spectrum opportunistically (when PU is not transmitting) or share the same frequency band with PU subject to meeting its tolerable interference . Research issues on CR include spectrum sensing (SS), spectrum sharing, spectrum management, spectrum mobility, and dynamic spectrum access . Among these, SS is key in CR system design as it provides SUs the information about PU's spectrum use and, consequently, the available spectrum for the use of SUs …”

“…In hybrid mode, the flexibility and robustness of the soft decision strategies are explored first over which the hard decision is made. A large set of recent works highlights the scope of usage of fuzzy logic–based soft decision techniques in CSS to improve detection reliability even at low SNR …”

Improving the lifetime of multichannel cognitive radio sensor networks via new spectrum sensing method

“…Since the frequency spectrum has been saturated due to the coexistence of different technologies and standards, the provision of opportunistic spectrum access for sensors in CRSNs is an important task . In such networks unlicensed cognitive radio users (ie, sensors) or Secondary Users (SUs) can use the frequency spectrum that belongs to some licensed Primary Users (PUs), if they do not cause harmful interference with PUs . The application of CRSNs can be found in the paradigm of Internet of Things (IoT).…”