EAGER: SC2: Load Prediction and Collision Coordination for Collaboration Channel

在过去的十年中，对无线带宽的需求呈指数级增长，激发了对新型频谱接入技术的需求。在本项目中，采用分层测试和实现方法来生成和评估创新的频谱接入技术。为此，该团队配备了广泛的背景，从FPGA开发和机器学习到3GPP标准化和广泛的现场实验。该团队有四个特别关注的领域：(i)网络管理，包括控制结构和拓扑发现；（ii）网络发现，包括调制识别和网络识别；（iii）频谱接入，包括信道选择、接入机制设计和决策度量；（iv）链路设计，包括波形选择、信道编码和信道估计。一个中心概念取决于协作通道的作用，在此基础上，研究了与无知识、部分知识和完全知识场景下跨网络的通道可用性相关的周期性和统一级别的信息交换的作用。使用机器学习和实时训练，观察网络决策和由此产生的性能，然后将重点转移到鲁棒性设计上，考虑到跨不同无线电集的非标准协议和算法导致的更高水平的延迟和异构性。项目范围包括以下三个方面。首先，采用敏捷研究方法，使用实现复杂性层次来评估多种设计思想，通过仿真工具，软件定义平台和FPGA硬件实现进行进展，并根据每个设计思想的测量成功来加权所花费的时间。其次，通过尝试预测同质网络环境中相关频谱上所有用户的频谱可用性，并选择通道可用性更新率和大小以尝试最大化这两个指标的性能，从频谱效率和跨团队协调方面广泛研究和评估了协作通道的作用。第三，这些发现为扩展到具有高延迟和跨网络堆栈异质性的网络奠定了基础，在这些网络堆栈中，跨协作通道的信息交换灵活性更为重要，这迫使内置于节点中的实时训练来观察和加强基于机器的决策制定。

The demand for wireless bandwidth has grown exponentially in the past decade, motivating the need for novel spectrum access techniques. In this project, a hierarchical testing and implementation approach is used to generate and evaluate innovative spectral access techniques. To do so, the team is equipped with a broad range of backgrounds from FPGA development and machine learning to 3GPP standardization and extensive in-field experimentation. There are four particular areas of focus for the team: (i) network management including control structure and topology discovery, (ii) network discovery including modulation recognition and network recognition, (iii) spectrum access including channel selection, access mechanism design, and decision metrics, and (iv) link design including waveform selection, channel coding, and channel estimation. A central concept hinges on the role of the collaboration channel, on which the role of periodic and uniform levels of information exchange is studied related to channel availability across networks from no, partial, and full knowledge scenarios. Using machine learning and on-the-fly training with observations of network decisions and resulting performance, the focus then shifts to designing for robustness with respect to greater levels of latency and heterogeneity that result from non-standard protocols and algorithms across a diverse set of radios.The scope of the project includes the following three aspects. First, an agile research approach is employed using a hierarchy of implementation complexity to evaluate multiple design ideas, progressing through simulation tools, software-defined platforms, and FPGA hardware implementations and weighting the time spent according to the measured success of each design idea. Second, the role of the collaboration channel is extensively studied and evaluated in terms of spectral efficiency and coordination across teams by attempting to predict spectral availability of all users across the relevant spectrum in a homogeneous network context and select the channel availability update rate and size to attempt to maximize performance of these two metrics. Third, these findings develop the basis for extension to networks with high levels of latency and heterogeneity across the network stack where flexibility of information exchange across the collaboration channel is far more critical, forcing on-the-fly training that are built into the nodes to observe and reinforce machine-based decision making.