Optimization of LDPC Codes for Layered Multi-Antenna Architectures Over Rayleigh Fading Channels
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In this paper we first perform the density evolution of LDPC codes in layered multi-antenna architectures using receivers based on successive decoding and interference cancellation. The noise thresholds of LDPC codes are shown to be achieved within 1.2 dB of the capacity for these architectures. We then present a rate allocation method which optimizes the performance of a layered architecture by equalizing the noise thresholds of the LDPC codes in all the layers, and find good degree distributions of LDPC codes with the rates allocated by this method. Simulation results show that the performance of all the layers are well equalized by using LDPC codes designed by our method and that the average performance for the layers is better by at least 4 dB than that of the layered architecture with the same code rate in all layers.
Abstract
In this paper we first perform the density evolution of LDPC codes in layered multi-antenna architectures using receivers based on successive decoding and interference cancellation. The noise thresholds of LDPC codes are shown to be achieved within 1.2 dB of the capacity for these architectures. We then present a rate allocation method which optimizes the performance of a layered architecture by equalizing the noise thresholds of the LDPC codes in all the layers, and find good degree distributions of LDPC codes with the rates allocated by this method. Simulation results show that the performance of all the layers are well equalized by using LDPC codes designed by our method and that the average performance for the layers is better by at least 4 dB than that of the layered architecture with the same code rate in all layers.
참고문헌 (18)
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