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the low-group DTMF frequencies detects a signal, and the natural sound is not accepted as a digit. The same happens with natural sounds that contain one of the other DTMF frequencies. 3.3.4 Ringing Signals

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12 demonstrated that Bit Error Rates (BERs) on the order of 10 2 can occur for Signalto-Noise Ratios (SNRs) typically encountered in wireless systems Those high BERs are mostly due to the effect of multipath propagation Advanced receiver structures can help to reduce those values: diversity combats fading dips, while equalizers and Rake receivers (see s 16 and 18) improve the performance in frequency-selective channels However, even those advanced receivers might not suf ciently reduce the BER Data communications often require BERs on the order of 10 6 10 9 Such low values can only be achieved by employing coding of the data, ie, introducing redundancy into the transmission The use of error-correcting codes1 leads to a reduction of the BER, or equivalently to a coding gain Gcode , ie.

Table 27.1 Category Peak data rate DL (Mbit/s) Max DL modulation Peak data rate UL (Mbit/s) Max UL modulation Max number of layers for DL MIMO Performance requirements for different MS classes 1 10 64 QAM 5 16 QAM 1 2 50 64 QAM 25 16 QAM 2 3 100 64 QAM 50 16 QAM 2 4 150 64 QAM 50 16 QAM 2 5 300 64 QAM 75 64 QAM 4

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, we have to use Gcode decibel (dB) less transmit power to achieve the target BER than in an uncoded system2 The history of coding starts with the seminal work of Claude Shannon [Shannon 1948] on The mathematical theory of communication He showed that it is possible to transmit data without errors as long as the bit rate is smaller than the channel capacity The absence of errors is achieved by the use of appropriate codes Shannon showed that (in nitely long) random codes achieve capacity Unfortunately, such codes cannot be used in practice due to the enormous effort required for their decoding For more than 50 years, the work of the coding theorists mainly consisted of nding practical codes that come close to the Shannon limit, ie, allow communications with rates close to the channel capacity.

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