Optimum Power Allocation for Multiuser OFDM with Arbitrary Signal Constellations

This paper formulates power allocation policies that maximize the region of mutual informations achievable in multiuser downlink OFDM channels. Arbitrary partitioning of the available tones among users and arbitrary modulation formats, possibly different for every user, are considered. Two distinct policies are derived, respectively for slow fading channels tracked instantaneously by the transmitter and for fast fading channels known only statistically thereby. With instantaneous channel tracking, the solution adopts the form of a multiuser mercury/waterfilling procedure that generalizes the single-user mercury/waterfilling introduced in [1], [2]. With only statistical channel information, in contrast, the mercury/waterfllling interpretation is lost. For both policies, a number of limiting regimes are explored and illustrative examples are provided.

[1]  C. G. Broyden A Class of Methods for Solving Nonlinear Simultaneous Equations , 1965 .

[2]  W.C.Y. Lee Estimate of channel capacity in Raleigh fading environment , 1988, 38th IEEE Vehicular Technology Conference.

[3]  W. C. Y. Lee,et al.  Estimate of channel capacity in Rayleigh fading environment , 1990 .

[4]  J.A.C. Bingham,et al.  Multicarrier modulation for data transmission: an idea whose time has come , 1990, IEEE Communications Magazine.

[5]  Shlomo Shamai,et al.  Information theoretic considerations for cellular mobile radio , 1994 .

[6]  A. Goldsmith,et al.  Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques , 1999, IEEE Transactions on Vehicular Technology.

[7]  Eric Lawrey Multiuser OFDM , 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

[8]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[9]  Andrea J. Goldsmith,et al.  Capacity and optimal resource allocation for fading broadcast channels - Part I: Ergodic capacity , 2001, IEEE Trans. Inf. Theory.

[10]  Hugo De Man,et al.  Adaptive loading for OFDM/SDMA-based wireless networks , 2002, IEEE Trans. Commun..

[11]  Sergio Verdú,et al.  Spectral efficiency in the wideband regime , 2002, IEEE Trans. Inf. Theory.

[12]  Jeffrey G. Andrews,et al.  Optimal power allocation in multiuser OFDM systems , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[13]  Didem Kivanc-Tureli,et al.  Computationally efficient bandwidth allocation and power control for OFDMA , 2003, IEEE Trans. Wirel. Commun..

[14]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[15]  Antonia Maria Tulino,et al.  Mercury/waterfilling: optimum power allocation with arbitrary input constellations , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[16]  Shlomo Shamai,et al.  Mutual information and minimum mean-square error in Gaussian channels , 2004, IEEE Transactions on Information Theory.

[17]  Jeffrey G. Andrews,et al.  Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints , 2005, IEEE Transactions on Wireless Communications.

[18]  Antonia Maria Tulino,et al.  Capacity-achieving input covariance for single-user multi-antenna channels , 2006, IEEE Transactions on Wireless Communications.

[19]  Antonia Maria Tulino,et al.  Optimum power allocation for parallel Gaussian channels with arbitrary input distributions , 2006, IEEE Transactions on Information Theory.

[20]  A.M. Tulino,et al.  Multiuser Mercury/waterfilling for Downlink OFDM with Arbitrary Signal Constellations , 2006, 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications.

[21]  Matthew J. M. Peacock,et al.  Statistical Power Allocation and Coded Bit Allocation Optimization in Mercury/Waterfilling , 2006, 2006 Australian Communications Theory Workshop.

[22]  Rahim Tafazolli,et al.  Technologies for the Wireless Future: Wireless World Research Forum (WWRF) , 2006 .

[23]  Ieee Microwave Theory,et al.  IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions , 2007 .

[24]  Andrej Mihailovic,et al.  Book: Technologies for the Wireless Future: Wireless World Research Forum , 2008 .

[25]  Klaus David Technologies for the Wireless Future: Wireless World Research Forum, Volume 3 , 2008 .