Recently there have been numerous studies exploring the benefits of the coalition formation in a cognitive radio network and it has been shown that coalition formation tends to improve the performance of cognitive radio. In this paper we use the concepts from matching theory, specifically we use Gale-Shapley algorithm, to form the coalition among cognitive radio user for collaborative spectrum ...

This paper introduces a cognitive radio scheme based on quality of experience (QoE). QoE involves the mobile end user’s preferences. Considering QoE can lead to an improved cognitive radio resource management strategy. The cognitive radio scheme aims to manage the traffic flow in dynamic systems; it is a new way of thinking about dynamic resource management in cellular systems. The Use of the c...

The introduction of new communication techniques requires an increase in the efficiency of spectrum usage. Cognitive radio is one of the new techniques that fosters spectrum efficiency by using unoccupied frequency spectrum for communications. However, cognitive radio will increase the transmission power density and cause an increasing level of Radio Frequency Interference (RFI), which may impa...

Subjective Radio innovation is being used to give a system for using the range more beneficially, range detecting is crucial to this application. The limit of Cognitive Radio frameworks to get the opportunity to spare zones of the radio range and to keep watching the range to ensure that the Cognitive Radio framework does not cause any undue obstacle depends completely on the range detecting pa...

Spectrum scarcity and underutilization in wireless networks, arising due to traditional static spectrum allocation, have been of great concern since the past decade. The suboptimal use of spectrum motivates new wireless concepts where unlicensed users opportunistically access licensed spectrum using cognitive radio technology. A cognitive radio can change its operating parameter intelligently i...

1 Fundamental Limits of Cognitive Radio Networks Natasha Devroye, Vahid Tarokh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.

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