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where Vin = induced voltage on victim circuit Cm = mutual capacitance between two transmission lines Zin = impedance of receiver Vs = interfering voltage (of negligible source impedance) dt = time period of event Coupling effects are small relative to other coupling mechanisms. For many circuits, there is mutual capacitance if we have high ZS in parallel with ZL (Figure 2.10). Capacitive coupling happens when a portion of the electric flux created by one circuit terminates on the conductors of another circuit. Electric flux coupling between two circuits is represented by mutual capacitance. The noise current injected into the susceptible circuit is approximately I = C(dV/dt), where C is the capacitance between sections and dV/dt is the time rate of change of voltage in the trace. Mutual capacitance between two circuit nodes is dependent on the voltage level present, not the current within the transmission line. Capacitance is affected by separation distance, especially the area of overlap between the two wires. In addition, the dielectric material between the two lines and the presence of other electric field shielding near the circuits can affect the magnitude of capacitive coupling. Because area of overlap or adjacency exists, capacitive coupling tends to be larger between bigger objects than between smaller ones. This is often not a concern, since larger structures tend not to carry high levels of dV/dt. For situations where high levels of dV/dt are present, such as in switch-mode power supply converters, capacitive coupling can become a serious threat for EMC.

In this section we build upon the results presented in the previous section by applying Adaptive QuadratureAmplitudeModulation (AQAM) techniques.Thevariousscenariosand channel conditions investigated were identical to those of the previous section, except for the application of AQAM. Since in the previous section an increased network capacitywas achieved due to using independent up- and down-link beamforming,this procedure was invoked in these simulations. AQAM involves the selection of the appropriate modulation mode in order to maximise the achievable data throughput over a channel, whilst minimising the Bit Error Ratio (BER). More explicitly, the philosophy behind adaptive modulation is the most appropriate selection of a modulationmode according to the instantaneous radio channel quality experienced [12, 131. Therefore, if the SINR of the channel is high, then a high-order modulation mode may be employed, thus exploiting the temporal fluctuation of the radio channel s quality. Similarly, if the channel is of low quality, exhibiting a low SINR, a high-order modulation mode would result in an unacceptably highBER or FER,and hence a more robust, but lower throughput modulation mode would be employed. Therefore, adaptive modulation combats effects of time-variant channel quality, while also attemptthe ing to maximise the achieved data throughput, and maintaining given BER or FER. In the a investigations conducted, the modulation modes of the up and downlink were determined independently, thus taking advantage of the lower levels of co-channel interference on the uplink, or of the potentially greater transmit power of the base stations.

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under G, with diagonal vector (1;0. . . . , 0) under H. For instance, we may take 0. G to be the distribution of (O,z2, . . . z P ) ,where 2 2 . . . . , zP are independent standard normal, and H to be the distribution of (z1,0, . 0), where 21 has a X-distribution .. with p - 1 degrees of freedom. For E = l/p, the conditional covariance matrix of x/lxi, given 1 1 under F is diagonal with diagonal vector (l/p.. . . , l / p ) , x, Now let F be the spherically symmetric distribution obtained by averaging F over the orthogonal group. For both F and F , the radial distribution (Lee,the distribution of 1 1 then is a X-distribution with p - 1degrees of freedom. Clearly, any covariance x) estimate defined by a relation of the form (8.39), viewed as a functional, will then be the same for F and for F , namely a certain multiple of the identity matrix. We interpret this result that a symmetric &-contamination on the zl-axis, with E = l/p, can cause breakdown of the scatter estimate.

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