A Smart Grid System Based On Cloud Cognitive Radio Using Beamforming Approach In Wireless Sensor Network

In this paper at wireless network we use the cognitive radio (CR) channels for communication. The performance of the process is limited by the self-interference which occur in the CR system. To overcome that problem beam forming method is used effectively which reduces the self-interference of smart meter channels. MMSE method is the main concept in the beam forming method utilized in the smart meter system. MMSE will provide accurate channel estimation and noise plus interference to reduce the self-interference in the CR system. The method of channel estimation and noise plus interference was carried out in IEEE 802.22 WRAN (wireless regional area network). This process gets fulfil over the utilization of the cloud computing smart grid infrastructure that hosts IEEE 802.22 WRAN CR standard. The output from the stimulation will show the improvement in the system capacity and BER. Index term: Cognitive radio, Beam forming, Self-inference.