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As the scarce spectrum resource is becoming overcrowded, cognitive wireless mesh networks express great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of the critical challenges for realizing such networks is how to adaptively match transmit powers and allocate frequency resources among secondary users (SUs) of the licensed frequency...
Cognitive wireless mesh networks have great potential to green communication. One of the critical challenges for realizing such networks is how to adaptively match transmit powers and allocate frequency resources among secondary users of the licensed frequency bands whilst maintaining the quality-of-service (QoS) requirement of the primary users, even in mutually entangled interferences environment...
In this paper the issue of spectrum sharing in multi-service cognitive wireless network is addressed. The problem is formulated as a revenue maximization problem and a framework is presented that is capable of adequately solving a class of problem where resources are shared in radio environment. Primary users (PUs) exchange channels dynamically and based on the availability of idle channels at neighbors...
As the limited spectrum resource becoming over crowded, cognitive wireless mesh networks have great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of critical challenges for realizing such networks is how to adaptively allocate transmit powers and frequencies among secondary users (SUs) while maintaining the quality of service (QoS)...
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