Performance Comparison of Energy-Efficient Power Control for CDMA Code Acquisition and Detection

This paper investigates the performance of distributed power control techniques in the uplink of a flat-fading CDMA wireless network, based on noncooperative game theory. Two energy-efficient criteria, tailored for data detection and code synchronization, are compared in terms of achieved utility at the Nash equilibrium, showing that the optimal power allocation devised for data detection is not the best solution during synchronization, and analogously the optimal allocation for code acquisition does not provide the best performance during data detection. Closed-form expressions for the optimal powers at the Nash equilibrium are derived, and a unified formulation is proposed to allow a more elaborated power allocation method to be adopted, in which the terminals, using the synchronization-oriented approach, can revert to the data-detection optimal criterion after synchronization is over.

[1]  Virgilio Rodriguez,et al.  An analytical foundation for resource management in wireless communication , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[2]  David J. Goodman,et al.  Power control for wireless data , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[3]  Cem U. Saraydar,et al.  Efficient power control via pricing in wireless data networks , 2002, IEEE Trans. Commun..

[4]  Giacomo Bacci,et al.  An energy-efficient comparison of classical detectors for CDMA code synchronization , 2010, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[5]  Giacomo Bacci,et al.  A noncooperative approach to joint rate and power control for infrastructure wireless networks , 2009, 2009 International Conference on Game Theory for Networks.

[6]  Ness B. Shroff,et al.  A utility-based power-control scheme in wireless cellular systems , 2003, TNET.

[7]  Andreas Polydoros,et al.  A Unified Approach to Serial Search Spread-Spectrum Code Acquisition - Part II: A Matched-Filter Receiver , 1984, IEEE Transactions on Communications.

[8]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[9]  Jens Zander,et al.  Performance of optimum transmitter power control in cellular radio systems , 1992 .

[10]  Giacomo Bacci,et al.  A Game-Theoretic Perspective on Code Acquisition in CDMA Wireless Systems , 2010, 2010 IEEE International Conference on Communications.

[11]  Andrea J. Goldsmith,et al.  A Game-Theoretic Approach to Energy-Efficient Modulation in CDMA Networks with Delay Constraints , 2007, 2007 IEEE Radio and Wireless Symposium.

[12]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..