End2End100-Phase 2

100 Gbit/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向应用程序级别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，因为需要并行地利用具有变化的错误率的多个无线信道来实现期望的数据速率。因此，项目End 2 End 100的重点是并行MAC/数据链路协议以及并行NIC平台，用于SPP第一阶段的超高速无线通信。 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众核CPU的核心。 时间关键和计算密集型FEC处理任务被转移到FPGA。我们设计并实现了灵活的FEC方案的基础上里德所罗门码，可以潜在地适应无线信道的错误率。由于在第一阶段没有无线通信平台，我们通过8x 10 Gbit以太网链路的有线设置证明了我们方法的可行性。通过这个实验设置，我们已经能够实现76 Gbit/s的理论上可能的80 Gbit/s。在这个后续项目中，我们将扩展我们的概念与真实的无线基带处理和物理层。因此，我们计划至少将Real100G.COM和Real100G.RF项目的结果集成为真实的无线演示器（可能包括合适的其他项目）。100 Gbps的无线数据速率将通过组合几个（个别容易出错和不稳定）无线链路来实现。这提出了两个基本的研究目标：1。我们如何才能实现最高的吞吐量为一个单一的不稳定的无线链路与变化的误码率？2.）的情况。我们如何管理具有不同质量的多个无线链路，以实现尽可能高的吞吐量？我们将解决这个二维优化问题，通过自适应有效的纠错方案的单链路优化和自适应多链路管理，通过动态流处理。另一个横向目标是减少特定协议任务以及整个系统的能耗。我们将研究能量有效的处理策略，并利用更高级别的数据链路协议处理、更低级别的数据链路处理（例如，FEC计算、基带和PHY层。继续我们的工作需要两名全日制博士生，两名兼职硕士生的资金和项目会议和会议的差旅费三年。额外的硬件将大大减轻我们的工作。

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.