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Nanocomputing in Cognitive Radio Networks to Improve the Performance
Abstract
Computing and communications are central issues in cognitive radio networks. The cognitive users are increasing exponentially and the available spectrum resource is constant. Therefore, efficient usage of spectrum through cognitive radio networks is essential. The real-time communications in cognitive radio networks with increasing demand for spectrum is possible through nanocomputing. Nanocomputing is the computing with thousands or millions of computers at the same time to gain more power for less money within minimum possible time. Therefore, the future research requires real-time communications using interconnected nanolevel computer devices. This spectrum sensing application is ideal for nanotechnology implementation because intensive computations are needed. Without nanocomputing it might be infeasible to implement sensing and analysis in real-time for cognitive radio networks with the current available computing power. Therefore, we need complicated distributed processing schemes to achieve our goals and nanocomputing is the best answer. The contribution includes the current state of nanotechnology, the cognitive radio networks, role of nanotechnology in cognitive radio networks, and building the model using nanotechnology for real-time applications.
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