Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Decoding Aided Non-coherent Detection

摘要

We propose a novel near-capacity Multiple-Symbol Differential Decoding (MSDD) aided cooperative Differential Linear Dispersion Code (DLDC) scheme, which exhibits a high grade of system design flexibility in terms of relays selection and rate allocation. More specifically, 36-component IRregular Convolutional Code (IRCC) encoded and Unity Rate Coded (URC) differential PSK (DPSK) symbols are transmitted from the source node to both the relays and the destination during the first transmission period. Three-stage iterative DPSK MSDD is performed at the relays. Each relay re-encodes the bits and performs DLDC aided transmissions during the second transmission interval. The system has the freedom to choose, which particular DLDC code to use depending on both the number of relays available in the network, as well as on their position, and a range of related throughput and complexity considerations. As a low-complexity design alternative, a single-component Recursive Systematic Convolutional (RSC) code as well as Multiple-Symbol Differential Sphere Decoding (MSDSD) can be employed, if the system cannot afford the decoding complexity of the 36-component IRCC and MSDD scheme.