End2End100-Phase 2

100Gbit/S无线数据流的处理是一项要求很高的任务。即使是今天的并行超级计算机也很难在有线网络中端到端地提供如此巨大的吞吐量。在无线通信的情况下，情况变得更糟，因为需要并行利用具有不同差错率的多个无线信道来实现期望的数据速率。因此，End2End100项目在SPP的第一阶段专注于并行MAC/数据链路协议以及用于超高速无线通信的并行NIC平台。我们将协议处理任务建模为软实时流处理问题，并将相应的处理阶段映射到Tilera多核CPU的核上。时间关键和计算密集型的FEC处理任务被分配给现场可编程门阵列。我们设计并实现了基于Reed-Solomon码的灵活的FEC方案，该方案可以潜在地适应无线信道的误码率。由于第一阶段没有可用的无线通信平台，我们通过8x10Gbit以太网链路的有线设置演示了我们方法的可行性。有了这个实验装置，我们已经能够在理论上可能的80Gbit/S之外实现76Gbit/S。在这个后续项目中，我们将使用真正的无线基带处理和物理层来扩展我们的概念。因此，我们计划至少将Real100G.COM和Real100G.RF项目的结果整合到一个真正的无线演示器中(可能包括合适的其他项目)。100Gbps的无线数据速率将通过组合几个(单独容易出错和不稳定的)无线链路来实现。这提出了两个基本的研究目标：1)如何在误码率可变的不稳定无线链路上实现尽可能高的吞吐量？)如何管理多个不同质量的无线链路以获得尽可能高的吞吐量呢？我们将通过自适应高效的单链路优化纠错机制和动态流处理的自适应多链路管理来解决这个二维优化问题。另一个贯穿各领域的目标是降低特定协议任务以及整个系统的能耗。我们将研究节能处理策略，并利用高层数据链路协议处理、低级数据链路处理(例如FEC计算、基带和物理层)之间的协同效应。为了继续我们的工作，我们需要资助两名全日制博士生、两名兼职硕士学生以及三年的项目会议和会议的旅费。增加硬件将大大简化我们的工作。

The processing of 100Gbit/s wireless data streams is a demanding task. Even today's parallel supercomputers struggle to deliver such tremendous throughput in wired networks end-to-end to the application level. In the case of wireless communication the situation gets worse, since multiple wireless channels with varying error rates need to be utilised in parallel to achieve the desired data rate. Therefore, the project End2End100 has focused on parallel MAC/data link protocols as well as a parallel NIC platform for ultra high-speed wireless communication in the first phase of the SPP. We modelled protocol processing tasks as soft real-time stream processing problems and mapped the corresponding processing stages to the cores of Tilera manycore CPUs. The time critical and computing intensive FEC processing tasks were off-laid to FPGAs. We designed and implemented flexible FEC schemes based on Reed-Solomon codes, that can potentially be adapted to the error rate of the wireless channel. Since no wireless communication platform was available in the first phase, we demonstrated the feasibility of our approach with a wired setup via 8x10Gbit Ethernet links. With this experimental setup we were already able to achieve 76Gbit/s out of the theoretically possible 80Gbit/s.In this follow-up project we will extend our concept with real wireless baseband processing and a PHY-layer. Thus, we plan to integrate at least the results of the Real100G.COM and Real100G.RF projects for a real wireless demonstrator (probably including suitable other projects). The data rate of 100 Gbps wireless will be achieved by combining several (individually error prone and unstable) wireless links. This poses two fundamental research objectives:1.) How can we achieve the highest possible throughput for a single unstable wireless link with a varying bit error rate?2.) How can we manage several wireless links with different qualities to achieve the highest possible throughput?We will solve this two-dimensional optimisation problem through self-adaptive efficient error correction schemes for the single link optimisation and self-adaptive multilink management by means of dynamic stream processing. An additional cross cutting objective is the reduction of the energy consumption with respect to specific protocol tasks, as well as the whole system. We will examine energy efficient processing strategies and exploit synergy effects between the higher level data link protocol processing, lower level data link processing, e.g., FEC calculation, baseband and the PHY-Layer. The continuation of our work requires funding for two full-time PhD-students, two part-time master students and travel funds for project meetings and conferences for three years. Additional hardware would ease our work significantly.