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Adaptive beamformers will degrade severely when the array weights cannot adapt as fast as the environmental changes, especially when unexpected interferences exist. Low sidelobe levels can increase the ability to suppress the white noise and unexpected interferences. The adaptive beamforming with low sidelobe levels is transformed into a weighted pattern synthesis problem. This weighting function...
In this paper, we propose jointly-optimized beamforming algorithms for cognitive networks to maximize the achievable rates, where primary and cognitive users share the same spectrum and are equipped with multiple antennas. We consider the transmission of a single information stream in both primary and secondary links. No coordination is required between the primary and cognitive users and the interference...
In this paper, we propose jointly-optimized beam-forming algorithms for cognitive networks to maximize the achievable rates assuming single information stream in both primary and secondary links. The primary and cognitive users share the same spectrum and are equipped with multiple antennas. No coordination is required between the primary and cognitive users and the interference cancellation is done...
In this paper, we first introduce a simple two-cell multiple-input multiple-output (MIMO) solution where each base station has only its own data message. The algorithm is based on limited feedback from the mobile station (MS). We assume there is no base station (BS) cooperation through backbone; therefore cooperation among BSs is not a requirement. This renders the concept of the proposed solution...
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