Low complexity error control coding using graphs for high throughput cooperative wireless networks

点击翻译按钮获取中文摘要

Cooperative communication technique enables the single-antenna mobiles to share their antennas to create a virtual Multiple-input/Multiple-output (MIMO) communication system. Using error control coding techniques based on graphs, in conjunction with cooperative communication systems, the network capacity can be approached. Although efficient approaches for cooperative coding networks have been proposed in the literature, these issues and their related problems still remain to be solved especially when code-on-graph and iterative decoding procedures are used. The main objectives of this proposal are to explore, analyse and evaluate the overall performances of wireless communication networks that use efficient codes-on-graphs and iterative decoding procedures. The first general objective is to elaborate much more accurate models for dense wireless coded cooperative networks and propose related analysis tools that will be used to predict the overall performances of wireless coded cooperative networks. The second general objective consists in examining and determining the design criteria for codes using graphs that optimize the performances of the cooperative networks. The design criteria must take into account all constraints imposed by the desired Quality of Service (QoS), error performances, decoding latency and hardware complexity. The third objective is to elaborate theories and methods for finding the best match between graphs representing the codes and those representing the fixed and/or mobile wireless networks. These codes should be adaptive to time variant conditions of wireless channels and desired QoS. Furthermore, this research aims at exploring solutions to the challenges posed by the efficient exploitation of code-on-graph and iterative decoding procedures for fixed and mobile wireless coded cooperative ad hoc networks. Finally, the fourth objective is to explore related hardware and software implementations, which will allow evaluating and validating the real performances of coded cooperative networks.