Decentralized power control algorithms for multi-service CDMA-based cellular systems

We present two decentralized iterative power control algorithms (IPCAs) for the uplink and downlink communication in multi-service CDMA wireless environments in order to expand the system capacity while at the same time satisfy the various QoS requirements. The proposed dynamic IPCAs are decentralised in the sense that they can be implemented in a distributed mode at the individual cell sites and mobile stations based on local measurements and information, and without the need of co-ordination between the different cells. The main feature of these two power control algorithms is that they combine the allocation as well as the correction of power in a multi-service wireless system. The formulation of the power control problem as presented in this paper, as well as the proposed algorithms, are especially applicable in multi-service wireless environments that support several classes of applications where each class has different quality of service requirements. Finally we present some numerical results that show that the convergence of the algorithm is very fast and the powers approach the optimal values within a small number of iterations