The design of binary shaping filter of binary code

Proceedings of a meeting held 25-27 June 2010, Beijing, China.In information theory, in order to maximize the total throughput, it is required that the codebook has an empirical distribution that maximizes the mutual information over the channel. In coding theory, however, most codes we can generate have Bernoulli (1 over 2) distribution. In this paper, we present a new coding scheme to efficiently generate binary codes with different distributions. Our main approach is to first encode the information bits by a linear code C, and then quantized the codeword to the closest codeword in another linear code Cs. The quantization error is then treated as the encoded codeword in our coding scheme. We discuss the practicality and advantage of such codes and give a design example

Error Prediction for Adaptive Modulation and Coding In Multiple-Antenna . . .

In this paper, the problem of Packet Error Rate prediction is addressed in the multiple-antenna broadband OFDM context, and its impact on Adaptive Modulation and Coding (AMC) is quantified. The analysis is based on a physical layer comprising various modulation and coding schemes, ranging from robust space-time block coding (STBC) modes to high bit rate spatial division multiplexing (SDM) modes, and also hybrid SDM-STBC schemes. For each mode the expression of several Link Quality Metrics enabling PER prediction in the broadband OFDM channel, such as instantaneous SNR, capacity, or exponential e#ective SNR metrics are provided. Their advantages and limitations are investigated. Finally