Opportunistic access in frequency hopping cognitive radio networks

Author(s):  
Yngrid Keila Silva Cabral ◽  
Joab De Araújo Silva ◽  
Marcelo Portela Sousa

Several wireless services make use of the spectrum for communication, from space radio communication to a simple wireless computer network. However, the considerable amount of services that make use of spectrum in the last years, has been responsible for its limited availability and inefficiency.. Cognitive networks or cognitive radio networks, are a technology that offer the efficient use of spectrum through opportunistic access to frequency bands. Throughout the cognitive radios scenario, this work will present a variation of the JENNA neighbors discovery algorithm. In addition to that, this research will propose a sensing model for a more efficient approach.


2014 ◽  
Vol 32 (3) ◽  
pp. 563-571 ◽  
Author(s):  
Ryan K. McLean ◽  
Mark D. Silvius ◽  
Kenneth M. Hopkinson ◽  
Bridget N. Flatley ◽  
Ethan S. Hennessey ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ammar Zafar ◽  
Mohamed-Slim Alouini ◽  
Yunfei Chen ◽  
Redha M. Radaydeh

Optimal resource allocation for cooperative cognitive radio networks with opportunistic access to the licensed spectrum is studied. Resource allocation is based on minimizing the symbol error rate at the receiver. Both the cases of all-participate relaying and selective relaying are considered. The objective function is derived and the constraints are detailed for both scenarios. It is then shown that the objective functions and the constraints are nonlinear and nonconvex functions of the parameters of interest, that is, source and relay powers, symbol time, and sensing time. Therefore, it is difficult to obtain closed-form solutions for the optimal resource allocation. The optimization problem is then solved using numerical techniques. Numerical results show that the all-participate system provides better performance than its selection counterpart, at the cost of greater resources.


2015 ◽  
Vol 9 (7) ◽  
pp. 1017-1025 ◽  
Author(s):  
Kehao Wang ◽  
Lin Chen ◽  
Quan Liu ◽  
Xiaolin Ma ◽  
Fangmin Li

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