Adaptive Sum Power Iterative Waterfilling for MIMO Cognitive Radio Channels
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[1] Arkadi Nemirovski,et al. Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems , 2004, SIAM J. Optim..
[2] Andrea J. Goldsmith,et al. Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..
[3] Aydano B. Carleial,et al. Interference channels , 1978, IEEE Trans. Inf. Theory.
[4] Emre Telatar,et al. Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..
[5] Pramod Viswanath,et al. Cognitive Radio: An Information-Theoretic Perspective , 2009, IEEE Transactions on Information Theory.
[6] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[7] Andrea J. Goldsmith,et al. Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.
[8] Sriram Vishwanath,et al. On the Capacity of a Class of MIMO Cognitive Radios , 2007, IEEE Journal of Selected Topics in Signal Processing.
[9] Patrick Mitran,et al. Achievable rates in cognitive radio channels , 2006, IEEE Transactions on Information Theory.
[10] Max H. M. Costa,et al. On the Gaussian interference channel , 1985, IEEE Trans. Inf. Theory.
[11] Wei Yu,et al. Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.
[12] Hiroshi Sato,et al. The capacity of the Gaussian interference channel under strong interference , 1981, IEEE Trans. Inf. Theory.
[13] Te Sun Han,et al. A new achievable rate region for the interference channel , 1981, IEEE Trans. Inf. Theory.
[14] Nihar Jindal,et al. Sum power iterative waterfilling for Gaussian vector broadcast channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..
[15] Andrea J. Goldsmith,et al. Sum power iterative water-filling for multi-antenna Gaussian broadcast channels , 2005, IEEE Transactions on Information Theory.