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

协作通信技术使单天线移动台能够共享天线，形成虚拟的多输入多输出（MIMO）通信系统。利用基于图的差错控制编码技术，结合协作通信系统，可以逼近网络容量。虽然在文献中已经提出了有效的方法来协作编码网络，这些问题和它们的相关问题仍然有待解决，特别是当使用码图和迭代解码过程。这项建议的主要目标是探索，分析和评估的无线通信网络，使用高效的编码图和迭代解码程序的整体性能。 第一个总体目标是详细说明更准确的模型密集的无线编码合作网络，并提出相关的分析工具，将用于预测无线编码合作网络的整体性能。 第二个总体目标包括在检查和确定的设计标准的代码使用图，优化的合作网络的性能。设计标准必须考虑到所需的服务质量（QoS），错误性能，解码延迟和硬件复杂性所施加的所有约束。第三个目标是详细阐述用于找到表示代码的图形与表示固定和/或移动的无线网络的图形之间的最佳匹配的理论和方法。这些代码应该是自适应的无线信道的时变条件和期望的QoS。此外，本研究旨在探索解决方案所带来的挑战，有效利用固定和移动的无线编码合作ad hoc网络的代码图和迭代解码程序。最后，第四个目标是探索相关的硬件和软件实现，这将允许评估和验证编码协作网络的真实的性能。

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.