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The Monte CarloMonte Carlo method is state-of-the art to verify the performance of wireless communication systems. Statistical simulationssimulations for various signal-to-noise (SNR) operation points are mandatory. Bit error rates (BERs) of 10−9 or even lower require the simulationsimulation of tens to hundreds of thousands of blocks for a single SNR operating point. Therefore, system simulationsimulation...
The Monte CarloMonte Carlo method is state-of-the art to verify the performance of wireless communication systems. Statistical simulationssimulations for various signal-to-noise (SNR) operation points are mandatory. Bit error rates (BERs) of 10−9 or even lower require the simulationsimulation of tens to hundreds of thousands of blocks for a single SNR operating point. Therefore, system simulationsimulation...
Ultra Wide Band (UWB) systems are designed for short range transmission with very high throughput demands (480 Mbit/s). Current UWB systems specify convolutional codes (CC) for channel coding. However, it was already shown that more sophisticated Low-Density Parity-Check Codes (LDPC) can outperform CC. This gain of communications performance comes with the penalty of a higher implementation complexity...
Low-density parity-check (LDPC) codes are among the best channel codes known today and are in discussion for current and future communications standards. LDPC codes can be efficiently modeled by Tanner-graphs. In this paper, we present a novel hardware-efficient 2-vector design method of such graphs. We show communications performance results for an exemplary code created by this approach and corresponding...
In this paper the authors present an enhanced channel coding scheme and architecture providing LDPC codes for the use in future generations of the WIMEDIA UWB industry standard. Main emphasis is put on the development of a low complex LDPC code which provides a throughput of at least 1.1 Gbit/s, with a reduced number of iterations even up to 1.6 Gbit/s. By using such an enhanced channel coding scheme...
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