WCDMA networks have many parameters which determine their performance. Ensuring a desired quality of service means a proper choice of network and cell parameters. One approach to choosing these parameters automatically is to minimise a cost function with respect to these parameters. The minimum of the cost function corresponds to an optimal network performance. The choice of cost function, in the simplest ease can be some combination of key performance indicators (KPTs) of the network. Here a cost function is described which can be used to simultaneously optimize 5 network parameters, to maximize the uplink and downlink packet data traffic. A stochastic, second order gradient method is described that can be used to simultaneously perform the optimization of the cost function. The cost function and gradient algorithm are implemented on an advanced WCDMA radio network simulator. Significant increases, in the packet throughput in a dynamically optimized scenario are found, relative to the same scenario with a typical but constant parameter set.

The WCDMA based cellular systems offer variability of packet and circuit switched services and therefore are more complicated to plan and control than today's networks. For an operator, it is essential to utilise all possible resources to improve the capacity and quality of service of the radio network. To guarantee the optimum performance, the operator must have means to visualise the offered services and their quality in the radio network-planning phase. The proposed static prediction method is compared with dynamic analysis results. Based on this comparison it is demonstrated that the static prediction method is accurate enough for the radio network planning process. Example results of active set size, dominance and transmit power distributions from both simulators are presented.

The construction of a family of quadriphase sequences that are suitable for code-division multiple-access spread spectrum (CMA/SS) communication is described. For a given parameter n, where n=2(mod 4), the period of the sequence is 2/sup n/-1 chips. The set of sequences asymptotically achieves Welch's lower bound on simultaneous cross-correlation and autocorrelation magnitudes, all of them being bounded by a value 2/sup n/2/+1. The cardinality of this family of sequencies is 2/sup n/2/.>