Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99535
Title: Cognitive beamforming for multiple secondary data streams with individual SNR constraints
Authors: Cai, Sheng-Ming
Gong, Yi
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Source: Cai, S.-M., & Gong, Y. (2013). Cognitive Beamforming for Multiple Secondary Data Streams With Individual SNR Constraints. IEEE Transactions on Signal Processing, 61(17), 4189-4198.
Series/Report no.: IEEE transactions on signal processing
Abstract: In this paper, we consider cognitive beamforming for multiple secondary data streams subject to individual signal-to-noise ratio (SNR) requirements for each secondary data stream. In such a cognitive radio system, the secondary user is permitted to use the spectrum allocated to the primary user as long as the caused interference at the primary receiver is tolerable. With both secondary SNR constraint and primary interference power constraint, we aim to minimize the secondary transmit power consumption. By exploiting the individual SNR requirements, we formulate this cognitive beamforming problem as an optimization problem on the Stiefel manifold. Both zero forcing beamforming (ZFB) and nonzero forcing beamforming (NFB) are considered. For the ZFB case, we derive a closed-form beamforming solution. For the NFB case, we prove that the strong duality holds for the nonconvex primal problem and thus the optimal solution can be easily obtained by solving the dual problem. Finally, numerical results are presented to illustrate the performance of the proposed cognitive beamforming solutions.
URI: https://hdl.handle.net/10356/99535
http://hdl.handle.net/10220/17468
DOI: 10.1109/TSP.2013.2266323
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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