Optimizing channel coding for orthogonal multiple access schemes with correlated sources

摘要: In this paper, we consider multiple access schemes with correlated sources. Distributed source coding is not used; rather, the correlation exploited at point (AP). particular, assume that each uses a channel code to transmit, through an additive white Gaussian noise (AWGN) channel, its information AP, where component decoders, associated sources, iteratively exchange soft by taking into account correlation. The key goal of paper investigate whether there exist optimized codes for scenario, i.e., which guarantee desired performance level (in terms average bit error rate, BER) lowest possible signal-to-noise ratio (SNR). A two-dimensional extrinsic transfer (EXIT) chart-inspired optimization approach proposed. Our results suggest properly designing serially concatenated convolutional (SCCCs), theoretical limits can be approached better than using parallel (PCCCs) or low-density parity-check (LDPC) codes. It also shown irregular LDPC tend perform regular codes, so design appropriate remains open issue.