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设备能够共享其天线，从而创建虚拟的多输入/多输出（MIMO）通信系统。利用基于图的错误控制编码技术，结合协作通信系统，可以接近网络容量。虽然文献中已经提出了有效的合作编码网络方法，但这些问题及其相关问题仍然有待解决，特别是当使用图上编码和迭代解码过程时。本提案的主要目标是探索、分析和评估使用高效图上码和迭代解码程序的无线通信网络的整体性能。第一个总体目标是为密集的无线编码协作网络制定更精确的模型，并提出相关的分析工具，用于预测无线编码协作网络的整体性能。第二个总体目标包括使用优化合作网络性能的图来检查和确定代码的设计标准。设计标准必须考虑到期望的服务质量（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理论和方法，以找到代表代码的图形与代表固定和/或移动无线网络的图形之间的最佳匹配。这些编码应该适应无线信道的时变条件和期望的QoS。此外，本研究旨在探索固定和移动无线编码合作自组织网络中有效利用图上代码和迭代解码过程所带来的挑战的解决方案。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.