Analysis of Constant-Power Waterfilling in MIMO Channels

In MIMO systems, when channel state information is available at the transmitter, power could be allocated adaptively among multiple transmit antennas to achieve large channel capacity. An upper bound on the maximum difference between the achievable capacity of non-optimal power allocation algorithms and that of conventional waterfilling in MIMO systems is derived. Two suboptimal constant-power waterfilling strategies are proposed and analyzed. Compared with the simple constant power allocation, constant-power waterfilling could achieve more channel capacity with reduced complexity.

[1]  Namyoon Lee,et al.  A novel signaling for communication on MIMO Y channel: Signal space alignment for network coding , 2009, 2009 IEEE International Symposium on Information Theory.

[2]  Alister G. Burr,et al.  7 – MIMO systems , 2006 .

[3]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[4]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[5]  Daniel Pérez Palomar,et al.  Practical algorithms for a family of waterfilling solutions , 2005, IEEE Transactions on Signal Processing.

[6]  Wei Yu,et al.  Constant-power waterfilling: performance bound and low-complexity implementation , 2006, IEEE Transactions on Communications.

[7]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[8]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[9]  Mérouane Debbah,et al.  From Spectrum Pooling to Space Pooling: Opportunistic Interference Alignment in MIMO Cognitive Networks , 2009, IEEE Transactions on Signal Processing.

[10]  Mérouane Debbah,et al.  Opportunistic interference alignment in MIMO interference channels , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  S. Pupolin,et al.  MIMO systems , 2012, 2012 IEEE First AESS European Conference on Satellite Telecommunications (ESTEL).

[12]  Mohinder Jankiraman,et al.  Space-Time Codes and Mimo Systems , 2004 .