Transmitted power allocation/control for multi-band MC-CDMA

Transmit power allocation over multiple subcarriers is an effective way to improve system error probability performance and to save power in traditional multi-carrier systems. In this paper, we derive the optimum power allocation algorithm for multi-band MC-CDMA systems, where optimum is defined as minimal BER under the constraint of fixed transmitted power, assuming knowledge of power attenuation of different sub-bands. With a two-band MC-CDMA system and Rayleigh channel fading, we show that a BER performance improvement based on the optimum allocation can only be attained over a limited range of transmit power and a limited range of sub-band power attenuation difference values. This performance improvement is also modest compared with a uniform power allocation, which suggests that the uniform power allocation is near optimal for transmit power control under our assumptions. Two simple transmitted power control algorithms are provided, and the controlled transmit power for a two-band system is shown to be a linear function of the power attenuation difference between the two bands for a large range of these attenuation differences. The small non-linear range implies that in using a multi-band channel, any savings in total transmitted power can occur only when the power attenuation difference between the two bands is small.

[1]  Stefan Kaiser Multi-Carrier CDMA Mobile Radio Systems-Analysis and Optimization of Detection , 1998 .

[2]  Khaled Fazel,et al.  Multi-Carrier and Spread Spectrum Systems , 2003 .

[3]  Jingtao Zhang,et al.  FG-MC-CDMA System Performance in Multi-band Channels , 2008, 6th Annual Communication Networks and Services Research Conference (cnsr 2008).

[4]  Y. Hara,et al.  System configuration for multiband MC-CDM systems , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[5]  B. Barrow Diversity Combination of Fading Signals with Unequal Mean Strengths , 1963 .

[6]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[7]  Giuseppe Caire,et al.  Optimum power control over fading channels , 1999, IEEE Trans. Inf. Theory.

[8]  John G. Proakis,et al.  Digital Communications , 1983 .

[9]  V. K. Prabhu,et al.  Diversity combining and equalization of frequency-selective fading signals with unequal mean strengths , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[10]  K. Fazel Performance of CDMA/OFDM for mobile communication system , 1993, Proceedings of 2nd IEEE International Conference on Universal Personal Communications.

[11]  K. Fazel,et al.  On the Performance of Convolutionally-Coded CDMA/OFDM for Mobile Communication System , 1993 .

[12]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .

[13]  M. Schnell,et al.  B-VHF - a multi-carrier based broadband VHF communications concept for air traffic management , 2005, 2005 IEEE Aerospace Conference.

[14]  Alexander M. Haimovich,et al.  Power allocation in a transmit diversity system with mean channel gain information , 2005, IEEE Communications Letters.

[15]  Americo Brajal,et al.  Orthogonal multicarrier techniques applied to direct sequence spread spectrum CDMA systems , 1993, Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference.

[16]  Lajos Hanzo,et al.  OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting , 2003 .

[17]  Gordon L. Stuber,et al.  Principles of Mobile Communication , 1996 .