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Showing 1 to 6 of 6 for “"Semi-definite relaxation"”.
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Optimal structure and efficient algorithm for max-min fair multi-group multicast beamforming
… based on the optimal solution structure. The semi-definite relaxation (SDR) method and an SCA-based method are applied to solve the problem with low-complexity. Simulation results show that our proposed methods that used optimal beamforming structure achieve near-optimal performance. …
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Low complexity multicast beamforming in massive MIMO multi-cell networks
… optimization problem of weights and solve it via semi-definite relaxation (SDR) and successive convex approximation (SCA). To further reduce the computational complexity and the communication overhead, a distributed weighted MRT beamforming design based on signal-to-leakage ratio (SLR) is …
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Joint relay beamforming and transceiver processing in multiuser relay network
… optimization problem is solved by ordinary semi-definite relaxation (SDR) and separable SDR approaches. Compared to conventional rank-one scheme, proposed rank-two methods provide one more degree of freedom in optimal solution, and have significantly better performance in terms of min-max …
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Multi-antenna relay network beamforming design for multiuser peer-to-peer communications.
… a sequence of transformations, we obtain a semi-closed form solution which can be determined by solving an efficient semi-definite programming problem. We also consider the semi-definite relaxation (SDR) approach. Compared with this SDR approach, the proposed solution has significantly lower …
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Source localization via time difference of arrival
… computational costs. The first method takes a semi-definite relaxation (SDR) approach to relax the hyperbolic localization to a convex optimization. The second method follows a linearized formulation of the problem and seeks a biased estimate of improved accuracy. A third method is proposed to …
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Advancing RIS Optimization: From Ideal to Realistic Models
… solution, we propose three approaches for it: a) semi-definite relaxation (SDR) (high complexity), b) signal alignment (SA) (low complexity), and c) gradient descent (GD) (low complexity). We analytically demonstrate the limited interference suppression capability of a passive RIS by deriving the …