Power allocation for multi-band OFDM UWB communication networks

Ultra wideband (UWB) technology has shown significant advantages over other existing ones for short- or medium-range high speed communications. It can adopt different modulation and signaling formats, among which multi-band OFDM is a more favorable candidate for the upcoming standard. Though extensive study on the physical layer has been conducted, limited work exists in the literature on design of medium access control (MAC) layer protocols. This paper proposes an efficient low-complexity power allocation technique for clustered multi-band OFDM UWB networks. The idea is to assign a unique power for each cluster while maximizing the total throughput. The method shows much superiority over an existing framework that selects only the cluster with the highest quality each time. Its performance also approaches the standard water-filling scheme in many cases but with much reduced complexity. The method is tested for a mandatory 1.8 GHz UWB band suggested in a standard proposal.

[1]  Ye Li,et al.  Anti-jamming property of clustered OFDM for dispersive channels , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[2]  J. Foerster,et al.  Channel modeling sub-committee report final , 2002 .

[3]  R M Morey,et al.  Response to FCC 98-208 notice of inquiry in the matter of revision of part 15 of the commission's rules regarding ultra-wideband transmission systems , 1998 .

[4]  Beomsup Kim,et al.  On the use of linear programming for dynamic subchannel and bit allocation in multiuser OFDM , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[5]  A. H. Tewfik,et al.  Multi-user UWB-OFDM communications , 2003, 2003 IEEE Pacific Rim Conference on Communications Computers and Signal Processing (PACRIM 2003) (Cat. No.03CH37490).

[6]  Leonard J. Cimini,et al.  Clustered-OFDM transmitter implementation , 1996, Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications.

[7]  Guocong Song,et al.  Adaptive subcarrier and power allocation in OFDM based on maximizing utility , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

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

[9]  Ping Liu,et al.  Multiuser Channel Estimation for Ultra-Wideband Systems Using up to the Second-Order Statistics , 2005, EURASIP J. Adv. Signal Process..

[10]  Robert A. Scholtz,et al.  Multiple access with time-hopping impulse modulation , 1993, Proceedings of MILCOM '93 - IEEE Military Communications Conference.

[11]  Babak Daneshrad,et al.  Clustered OFDM with transmitter diversity and coding , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[12]  Andrea Baiocchi,et al.  Radio resource sharing for ad hoc networking with UWB , 2002, IEEE J. Sel. Areas Commun..

[13]  Moe Z. Win,et al.  Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view , 2002, IEEE J. Sel. Areas Commun..

[14]  Ping Liu,et al.  A Subspace Approach to Blind Multiuser Detection for Ultra-Wideband Communication Systems , 2005, EURASIP J. Adv. Signal Process..

[15]  Pierre Baldi,et al.  Modeling and optimization of UWB communication networks through a flexible cost function , 2002, IEEE J. Sel. Areas Commun..

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

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

[18]  John M. Cioffi,et al.  Increase in capacity of multiuser OFDM system using dynamic subchannel allocation , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[19]  Moe Z. Win,et al.  The ultra-wide bandwidth indoor channel: from statistical model to simulations , 2002, IEEE J. Sel. Areas Commun..

[20]  Andrea J. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1997, IEEE Trans. Commun..

[21]  Moe Z. Win,et al.  On the energy capture of ultrawide bandwidth signals in dense multipath environments , 1998, IEEE Communications Letters.