Rita Mahajan et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 5( Version 7), May 2014, pp.51-55 www.ijera.com 51 | Page Technique for Predicting Data Rate for Cognitive Radio Using Neural Network Rita Mahajan 1 , Dr. Deepak Bagai 2 1 Assistant Professor, 2 Associate Professor E&EC Dept., PEC University of Technology, Chandigarh, India Abstract Significant problems confronting wireless communications, are scarcity and deployment difficulty. The deployment problem is a process problem i.e., frequency allocation is fixed and is done so by complex collaboration and coordination between countries and systems, respectively. The limited available spectrum and the inefficiency in the spectrum usage necessitate a new communication paradigm to exploit the existing wireless spectrum opportunistically called cognitive radio technology. In this paper we have proposed a learning technique using neural network to be used in cognitive radio so that it can predict the data rate. Performance of learning scheme has been observed using Matlab simulations and found that Focused Time Delay Neural Networks are good candidate for cognitive radios. Keywords — cognitive radio, neural network, dynamic spectrum access, wireless communication. I. INTRODUCTION The requirement for higher data rates is increasing as a result of the transition from voice- only communications to multimedia type applications. Given the limitations of the natural frequency spectrum, it becomes obvious that the current static frequency allocation schemes cannot accommodate the requirements of an increasing number of higher data rate devices. As a result, innovative techniques that can offer new ways of exploiting the available spectrum are needed. Cognitive radio arises to be a tempting solution to the spectral congestion problem[1]. Fortunately, recent research efforts to characterize actual spectrum usage in both urban and rural areas have shown that more spectrum is available than conventionally realized[2]. Defense Advanced Research Projects Agency (DARPA) asserts that the upper bound of usage is only 6% as shown in the sanitized power spectrum distribution (PSD) of Fig. 1. We would find that: 1) Some frequency bands in the spectrum are largely unoccupied most of the time. 2) Some other frequency bands are only partially occupied. 3) The remaining frequency bands are heavily used. The underutilization of electromagnetic spectrum leads us to think in terms of spectrum holes, for which we offer the following definition: ―A spectrum hole is a band of frequencies assigned to a primary user, but, at a particular time and specific geographic location, the band is not being utilized by that user‖. Fig. 1. View of the actual availability of spectrum. The inefficiency in the spectrum usage necessitates a new communication paradigm to exploit the existing wireless spectrum opportunistically. Dynamic spectrum access is proposed to solve these current spectrum inefficiency problems. DARPA‘s approach on Dynamic Spectrum Access networks, aims to implement the policy based intelligent radios known as cognitive radios[2]. II. COGNITIVE RADIO The term cognitive radio identifies the point at which wireless personal digital assistants (PDAs) and the related networks are sufficiently computationally intelligent about radio resources and related computer-to-computer communications to detect user communications needs as a function of use context and to provide radio resources and wireless services most appropriate to those needs. RESEARCH ARTICLE OPEN ACCESS