Adaptive OFDM Beamformer With Constrained Weights for Cognitive Radio

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Executive Summary

Cognitive Radio (CR) is an intelligent radio system, which is aware of the communication environment and consequently adapts to it. Orthogonal Frequency Division Multiplexing (OFDM) is a proper and efficient modulation scheme for CR. Adaptive beamforming technique improves CR reliable communication by strengthening the desired signals and rejecting interferences. In this paper, two post IFFT/FFT OFDM adaptive beamformers with iterative weights computing are proposed. The first one directly heritages the spectrum masking concept and deactivates the weights for the OFDM CR subcarriers, which hold the same frequency bands with the Licensed Users (LU).

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