ANALYSIS OF SENSOR SELECTION AND COGNITIVE RADIO SENSING ARCHITECTURE
The evolution of wireless communication systems demands data-rate service and ubiquitous coverage. Cognitive radio (CR) has the potential to free the evolution of wireless communication. It allows unlicensed users or say secondary users dynamically access those temporally unused frequency spectra in the licensed band of primary users. Due to the potential of CR system (CRS), it has been under the IEEE P1900 standardization process including architecture, sensing interface, etc. The functionality of a CRS can be categorized into the cognitive engine (CE) and sensing. A cognitive engine is an entity that analyses spectrum usage of its radio environment and performs spectrum access decision making based on spectrum sensing information obtained from the sensing functional entity. The CE can be implemented at CR nodes, e.g., cognitive base stations (CRBs) and cognitive terminals (CTs). The sensing entity is realized by spectrum sensors. These sensors can be implemented at CRBs and CTs. Also, they can be implemented as a standalone sensor network. In this Matlab design, a sensing architecture, which adds new functional entities, sensing controller (SC) and sensing information processor (SIP) inside CE and sensing, respectively. Based on the architecture, we give a use case where sensing is realized by distributed sensors. Selection of these sensors is performed in Rayleigh fading channel to improve the detection performance and save power consumption.
Reference Paper: Cognitive Radio Sensing Architecture and A Sensor Selection Case Study
Author’s Name: Chen Sun, Yohannes D. Alemseged, Ha Nguyen Tran and Hiroshi Harada
Year:2009
Source: IEEE
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