A Discrete Queue-Based Model for Capturing Memory and Soft-Decision Information in Correlated Fading Channels
Wireless communication channels are widely known to undergo time-varying multipath fading that is represented as a time-correlated random process. Due to the statistical dependence of successive fading samples, such channels exhibit memory. The development of iterative decoding schemes for codes (such as low-density parity-check and turbo codes) that achieve the capacity limit of memoryless channels, when they operate on binary (binary-input, binary-output) channels with memory, was considered. These works assume that the discrete channel (from the input of the modulator to the output of the hard-quantized demodulator) is modeled as a binary Finite State Markov Channel (FSMC) and incorporate the FSMC structure in the decoding process in order to exploit the channel statistical memory.