Transmit power planning in the W-CDMA downlink, especially planning of the total transmit power of base stations and their apportionment to common control channels, is discussed taking cell coverage planning into account. A transmit power planning procedure is proposed for common control channels based on both link-level and system-level simulations. An analysis on optimum power allocation for common pilot channels is also presented. Link budgets that are applicable to downlink common control channels are developed and presented.

While higher chip rate can provide better performance for Direct Sequence/Code Division Multiple Access (DS/CDMA) systems due to larger process gain, it may also induce spectrum emission to adjacent channels, i. e. , adjacent channel interference. Especially, if different operators use adjacent channels in the same area with uncoordinated power levels, such interference becomes large, and excessively higher chip rate will decrease the efficiency of a system. In this context, this paper evaluates the relation between chip rate and capacity in DS/CDMA cellular communication systems considering adjacent channel interference from other systems. First, the classification of adjacent channel interference between two independent DS/CDMA systems is described, and the concrete interference levels are calculated for several chip rates. Then, by using computer simulation, the system CDMA capacity is evaluated under adjacent channel interference. From these results, we can find that the excessively higher chip rate can not always provide the larger system CDMA capacity in spite of the larger process gain, and there exists the appropriate chip rate for a certain given bandwidth.

A mobile station (MS) positioning method using signal strength is an algorithm to estimate the geographical position of a target MS based on measured strength of signals transmitted to/from the MS from/to multiple base stations (BSs) at known geographical positions. This paper proposes a novel MS positioning method using signal strength in cellular systems. The primary sources of position location error for positioning methods using signal strength are multipath fading and shadowing. Although signal strength averaging can help to reduce the effect of multipath fading, the effect of shadowing still remains. In order to eliminate the error caused by shadowing, the proposed method applies a statistical approach and a minimum mean squared error (MMSE) criterion to determine a position estimate. The performance of the proposed method is compared to that of a maximum likelihood (ML) positioning method and a cell-site positioning method. The performance is obtained by computer simulations and field experiments. A computer simulation result shows that the proposed method can determine position estimates in higher probability than the ML method. Also, it is shown that the proposed method provides higher accuracy than the ML method and the cell-site method.

In W-CDMA systems, distributions of the interference power and the total transmit power both measured at base stations are respectively used for capacity analysis in the uplink and downlink. For accurate capacity analysis, these quantities must be in proportion to the traffic amount. However, these quantities are no longer in proportion to the traffic amount since the transmit power control maintains the signal to interference power ratio at a constant level. Although the relationship between these measurements and the traffic amount has been investigated, there are still challenges to calculate the statistics such as the blocking probability or the outage probability accurately. This paper proposes a method to calculate the blocking probability by transforming the distributions of these measurements into distributions that are referred to as "traffic equivalent distributions," where the distributions are automatically adjusted according to the traffic amount. The calculated results show good agreement with the results obtained by dynamic computer simulations in the uplink, and show good agreement in the downlink as well when the traffic load is light. Accurate calculation of the blocking probability using a feedback loop and the observation of the traffic equivalents is also reported.