Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference
Ojo Festus Kehinde,
Fagbola Felix Adetunji
Issue:
Volume 3, Issue 6, November 2015
Pages:
58-65
Received:
28 August 2015
Accepted:
16 September 2015
Published:
26 September 2015
Abstract: In recent years, there has been increase in the demand for spectrum allocation as wireless communication witness rapid growth on a daily basis. Literatures have established that this spectrum is scarce and more than 70% of the available spectrum is not utilized optimally. This paper proposes a model called Goodput model by which the under-utilized spectrum can be shared effectively between primary users and the secondary users without causing harmful interference between the users and also find solution to the problem of increasing demand for spectrum allocation on an already scarce spectrum. Goodput is a mathematical modeling in which the total amount of primary and secondary data that is successfully delivered per unit time can be used as performance index. Compared to other models, the Goodput model with zero interference, perfect sensing and imperfect Sensing, non-zero interference is used to determine the secondary users that will be able to use unoccupied portion of radio frequency channel of primary users with different values of data probability of arrival. Result shows that, the point of intersection between np and N(1-p) is the optimum point of interference, where n,N,and p are number of secondary users, number of primary users, and Probability of data arrival rate respectively. Below the optimum point of interference (left side of the point), all the secondary users will transmit opportunistically without interference. However, above the optimum point of interference (right side of the point), there will be interference between any secondary users that attempt to transmit.
Abstract: In recent years, there has been increase in the demand for spectrum allocation as wireless communication witness rapid growth on a daily basis. Literatures have established that this spectrum is scarce and more than 70% of the available spectrum is not utilized optimally. This paper proposes a model called Goodput model by which the under-utilized ...
Show More
Design and Development of a BlueGS Gateway for Bluetooth and GSM Protocols
Edgar Manuel Cano Cruz,
Juan Gabriel Ruiz Ruiz,
Luis Alberto Hernández Montiel
Issue:
Volume 3, Issue 6, November 2015
Pages:
66-71
Received:
17 September 2015
Accepted:
29 September 2015
Published:
14 December 2015
Abstract: The new generation of mobile devices with embedded applications is one of the most rapidly growing technologies in the Wireless Networks. In this paper, we propose to combine the functions and capabilities of the maturity wireless protocols Bluetooth and GSM technologies, to design a powerful gateway tool for embedded systems: the BlueGS system. In addition, also included, is the construction of the BlueGS node, providing a flexible platform with the possibility of expanding the functionality. The system incorporates a Bluetooth and GSM module, thus achieving the development of a low cost system that does not require complex infrastructure to operate and is easily accessible to the general public.
Abstract: The new generation of mobile devices with embedded applications is one of the most rapidly growing technologies in the Wireless Networks. In this paper, we propose to combine the functions and capabilities of the maturity wireless protocols Bluetooth and GSM technologies, to design a powerful gateway tool for embedded systems: the BlueGS system. In...
Show More
Modeling and Simulation of Phase Noise Effect on 256-QAM
Bourdillon Odianonsen Omijeh,
Ejioeto Evans Ibara
Issue:
Volume 3, Issue 6, November 2015
Pages:
72-76
Received:
20 October 2015
Accepted:
29 October 2015
Published:
14 December 2015
Abstract: This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simulation that was run before and after the addition of the noise. It was found that Phase Noise has an enormous effect on QAM modulators; an effect that grows strong with an increase in the density (version) of the QAM modulators. This implies that higher order QAM are prone to phase noise and hence error, but transmits more data.
Abstract: This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simul...
Show More
