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where 0 < 0 1. It is interesting that for some special cases, the algorithm (8.33) simpli es to some well known algorithms: For example for q = 1, we obtain the globally stable algorithm for blind decorrelation proposed rst by Almeida and Silva [18] W(l + 1) = W(l) + (l) I yyT W(l). (8.37)

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for the existing active users The application of adaptive modulation in packet transmission was introduced by Ue, Sampei and Morinaga [57], where the results showed improved data in throughput Recently, the performance of adaptive modulation an automatic repeat request (ARQ) system was published in Reference [58], where the transmitted bits were encoded a using a cyclic redundant code (CRC) and convolutional punctured codein order to increase the data throughput [59] on laboratory A recent treatise was published by Sampei, Morinaga and Hamaguchi test results concerning the utilization of adaptive modulation in a TDD scenario, where the modem mode switching criterion was based on the signal to noise ratio and on the normalized delay-spread In these experimental results, the channel quality estimation errors degraded the performance and consequently a channel estimation error margin was devised, in order to mitigate this degradation.

How the eld propagates and how propagating elds are modulated by materials. Field propagation is described by the Maxwell equations for electromagnetic waves, and eld matter interactions are described by materials equations. The electromagnetic description of optical waves and optical interactions is the focus of this chapter.

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Explicitly, the channel estimation error margin was defined as the measure of how much extra protection margin must be added to the switching threshold of also levels, in order to minimise the effects the channel estimation error The delay-spread degraded the performance due to the associated irreducible BER, which was not compensated by the receiver However, the performance of the adaptive scheme in a delay-spread channel environment was better than that of fixed modulation scheme Lastly, the experiment also concluded that the AQAM scheme can be operated for f d = lOHz with a normalized delay spread of 01 or for f d = 14Hz with a normalized delay spread of 002, which produced a mean BER of 01% at a transmission rate of 1 Mbits/s In this respect, f d was the Doppler frequency.

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In this section we will initially extend the AQAM concept to wideband fading channel environments by employing conventional channel equalization. We will briefly summarise, how the performance of the equalizerand the AQAM scheme canbe jointly optimized. As expected, the AQAM switching criteria of the narrow-band scenario mentioned in Section 9.1 has to be modified for the wideband channel environment. In Torrance s paper [l451 for example,the quality of the channel was determined on the basis of the short-term SNR, which was then used as a metric in order to choose the appropriate modulation mode for the transmitter. However, in a wideband environment, the SNR metric is not reliable in quantifying the quality of the channel, where the existence of the multipath components in the wideband channel producesnot only power attenuation of the transmissionburst, but also intersymbol interference, as discussed in Section 8.1. Even when the channel SNR is high, QAM transmissions over wideband Rayleigh fading channels are subjectederror bursts due to to 1%. Consequently, the metric required to quantify the channel quality to be redefined, has in orderto incorporate the effects of the wideband channel. Wong and Hanzo [32,296] approached this problem formulating a two-stepmethodby ology to mitigate the effects of the dispersive wideband channel. The first step employed a conventional Kalman-filtering based DFE, in order to eliminate most of the ISI.In the second

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With the above background on adaptive modulation, we shall now investigate the application of power control near the switching thresholdlevels, which i s termed here as thresholdbased power control..

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