MIMO transceiver design via majorization theory
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Opportunistic underlay transmission in multi-carrier cognitive radio systems
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Joint source/relay precoder design in nonregenerative cooperative systems using an MMSE criterion
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MIMO cognitive radio: a game theoretical approach
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Joint optimization of opportunistic relaying and power allocation in cooperative OFDM networks
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
On the optimal power control of parallel OFDM relaying networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
MMSE relaying and power allocation over frequency-selective rayleigh fading channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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Fairness-aware resource allocation in OFDMA cooperative relaying network
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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Distributed power allocation in multi-user multi-channel cellular relay networks
IEEE Transactions on Wireless Communications
Optimized training sequences for spatially correlated MIMO-OFDM
IEEE Transactions on Wireless Communications
Power allocation in MMSE relaying over frequency-selective Rayleigh fading channels
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Dynamic robust power allocation games under channel uncertainty and time delays
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Wireless Personal Communications: An International Journal
Hybrid heuristic-waterfilling game theory approach in MC-CDMA resource allocation
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Wireless Personal Communications: An International Journal
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Many engineering problems that can be formulated as constrained optimization problems result in solutions given by a waterfilling structure; the classical example is the capacity-achieving solution for a frequency-selective channel. For simple waterfilling solutions with a single waterlevel and a single constraint (typically, a power constraint), some algorithms have been proposed in the literature to compute the solutions numerically. However, some other optimization problems result in significantly more complicated waterfilling solutions that include multiple waterlevels and multiple constraints. For such cases, it may still be possible to obtain practical algorithms to evaluate the solutions numerically but only after a painstaking inspection of the specific waterfilling structure. In addition, a unified view of the different types of waterfilling solutions and the corresponding practical algorithms is missing. The purpose of this paper is twofold. On the one hand, it overviews the waterfilling results existing in the literature from a unified viewpoint. On the other hand, it bridges the gap between a wide family of waterfilling solutions and their efficient implementation in practice; to be more precise, it provides a practical algorithm to evaluate numerically a general waterfilling solution, which includes the currently existing waterfilling solutions and others that may possibly appear in future problems.