EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Random matrix theory and wireless communications
Communications and Information Theory
Majorization and matrix-monotone functions in wireless communications
Foundations and Trends in Communications and Information Theory
Cognitive MIMO radio: an emerging paradigm for enhancing wireless access capability
International Journal of Communication Networks and Distributed Systems
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
Power allocation games for MIMO multiple access channels with coordination
IEEE Transactions on Wireless Communications
Information theoretic bounds for compound MIMO Gaussian channels
IEEE Transactions on Information Theory
On the capacity of bidirectional broadcast channels under channel uncertainty
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
On Pareto-efficiency between revenue and utility in resource allocation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimal coding strategies for bidirectional broadcast channels under channel uncertainty
IEEE Transactions on Communications
On Pareto-efficiency between profit and utility in OFDM resource allocation
IEEE Transactions on Communications
Saddle-point properties and nash equilibria for channel games
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
Hi-index | 754.90 |
When transmitting over multiple-input-multiple-output (MIMO) channels, there are additional degrees of freedom with respect to single-input-single-output (SISO) channels: the distribution of the available power over the transmit dimensions. If channel state information (CSI) is available, the optimum solution is well known and is based on diagonalizing the channel matrix and then distributing the power over the channel eigenmodes in a "water-filling" fashion. When CSI is not available at the transmitter, but the channel statistics are a priori known, an optimal fixed power allocation can be precomputed. This paper considers the case in which not even the channel statistics are available, obtaining a robust solution under channel uncertainty by formulating the problem within a game-theoretic framework. The payoff function of the game is the mutual information and the players are the transmitter and a malicious nature. The problem turns out to be the characterization of the capacity of a compound channel which is mathematically formulated as a maximin problem. The uniform power allocation is obtained as a robust solution (under a mild isotropy condition). The loss incurred by the uniform distribution is assessed using the duality gap concept from convex optimization theory. Interestingly, the robustness of the uniform power allocation also holds for the more general case of the multiple-access channel.