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This paper focuses on the issue of energy efficiency in wireless datanetworks through a game theoretic approach. The case considered is that inwhich each user is allowed to vary its transmit power, spreading code, anduplink receiver in order to maximize its own utility, which is here defined asthe ratio of data throughput to transmit power. In particular, the case inwhich linear multiuser detectors are employed at the receiver is treated first,and, then, the more challenging case in which non-linear decision feedbackmultiuser receivers are adopted is addressed. It is shown that, for bothreceivers, the problem at hand of utility maximization can be regarded as anon-cooperative game, and it is proved that a unique Nash equilibrium pointexists. Simulation results show that significant performance gains can beobtained through both non-linear processing and spreading code optimization; inparticular, for systems with a number of users not larger than the processinggain, remarkable gains come from spreading code optimization, while, foroverloaded systems, the largest gainscome from the use of non-linearprocessing. In every case, however, the non-cooperative games proposed here areshown to outperform competing alternatives.

Non-cooperative games for spreading code optimization, power control and receiver design in wireless data networks