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，刺激了对新型频谱接入技术的需求。在该项目中，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。要做到这一点，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；以及(Iv)链路设计，包括波形选择、信道编码和信道估计。一个核心概念取决于协作渠道的角色，在此基础上研究定期和统一级别的信息交换的作用，与无知识、部分知识和完全知识情景下网络中的渠道可用性相关。使用机器学习和即时培训，观察网络决策和产生的性能，然后将重点转移到针对跨不同无线电集合的非标准协议和算法导致的更高级别的延迟和异构性的健壮性设计。该项目的范围包括以下三个方面。首先，采用一种敏捷的研究方法，使用实现复杂性的层次来评估多个设计想法，通过模拟工具、软件定义的平台和FPGA硬件实现来进行，并根据每个设计想法的测量成功来权衡所花费的时间。其次，通过尝试预测同构网络环境中相关频谱上所有用户的频谱可用性，并选择信道可用性更新率和大小，以尝试最大化这两个指标的性能，就频谱效率和团队间的协调而言，广泛研究和评估协作信道的作用。第三，这些发现为扩展到整个网络堆栈中具有高水平延迟和异构性的网络奠定了基础，在这些网络堆栈中，跨协作渠道的信息交换的灵活性要重要得多，这迫使内置在节点中的即时培训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.