New optimized solution method for beamforming in cognitive multicast transmission

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Conference Proceeding
IEEE Vehicular Technology Conference, 2010
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The optimal beamforming for cognitive multicast transmission is a nonconvex rank-one constrained optimization problem. For a solution, a popular method is the combination of relaxed convex semi-definite programming, where the rank-one constraint is dropped, and randomization. We show that in many cases, this method cannot give satisfactory solutions. As an initial step, we propose a simple and efficient alternative method, which offers much better solutions. Several numerical simulation examples are provided to illustrate the effectiveness of our method. ©2010 IEEE.
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