81 82 83 84 18. PROJECTION OF SUBREFLECTOR Fig. 7. Local interpolation.word size (36 bits) would not allow a sufficiently small (AO, A4) to be used so that the second derivatives could be accurately found from the quadratic expression. The averaging method worked successfully.A quadratic expression was used instead of a higher order local expression because of our required "maximum speed possible" computation. Furthermore, we required our surface to return (X, Y, Z, , 2,; Z , , , Zyy) data from a (e, q5) input. The required computation is fast and simple for a quadratic expression, but the computation rapidly becomes more complex and time-consuming as the order of 120 110 too 90

Abstract-In this paper, a sequential stopping rule for the estimation of a probability by means of Monte Carlo simulation is analyzed. It is shown that the proposed estimator is almost unbiased, and guarantees a given relative precision irrespective of . Under very mild conditions, the method also guarantees a certain confidence level for a given relative estimation error, provided that does not exceed a maximum value. An extension to importance sampling is discussed.

Abstract-In this letter, we show how the dimension of power control equation systems can be reduced from , the number of users in the system, to , the number of cells, without any loss of generality or accuracy. Decentralized downlink power control algorithms are then presented which generalize previously proposed ones broadening the range of application while maintaining reduced complexity.Index Terms-Code-division multiple access, power control.

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This paper presents an improved result on the negative-binomial Monte Carlo technique analyzed in a previous paper 1 for the estimation of an unknown probability p. Specifically, the confidence level associated to a relative interval [p/µ2, pµ1], with µ1, µ2 > 1, is proved to exceed its asymptotic value for a broader range of intervals than that given in the referred paper, and for any value of p. This extends the applicability of the estimator, relaxing the conditions that guarantee a given confidence level.