NeTS: Large: Collaborative Research: Foundations for Network Cooperation at Signal Scale

当前的无线网络架构是基于干扰避免的，它主张消除同时传输以避免接收器上的碰撞。然而，这个设计原则在很大程度上是设计简化的产物。相反，如果相邻节点共享资源，并在信号传输中进行合作，则网络可以将干扰转化为优势，从而潜在地将网络容量增加许多倍。这种合作的观点需要重新审视网络研究吗？美国基金会正在通过两部分战略来解决这一问题：1。以网络为中心的协同信号设计：协同信令注入网络？进入信号设计，从而打破传统的界限。节点必须了解它们的传输将如何被其他节点感知、解码、抑制、取消、增强或转发。这种信号设计的根本性转变（从传统的点对点物理层）正在通过开发容量界限、分布式代码和可扩展合作的消息传递协议来解决。2. 以信号为中心的协作网络设计：与网络启发的信号设计相反的是以信号为中心的协作网络设计。网络设计。网络资源分配和控制必须认识到合作节点组之间的信号级交互。在网络协议设计中打破常规设计边界。这种根本性的变化导致了调度、路由和协议设计方面的全新问题形式，以利用协作信号规模增益。该项目的目标无非是重写网络基础。通过对基本设计范式的质疑，我们期望该项目将影响多个社区的研究。我们的实验代码和测量将作为社区资产开源。我们还将建立一个独特的大学间教育计划，包括联合指导和合作实验。

Current wireless network architectures are based on interference avoidance, which advocates eliminating simultaneous transmissions to avoid collisions at the receivers. However, this design principle is largely an artifact of design simplification. In contrast, if neighboring nodes pool their resources, and cooperate in their signal transmissions, the network could turn interference to its advantage for potentially many-fold increase in network capacity. This cooperative viewpoint necessitates revisiting networking research?s foundations, which are being addressed with a two-part strategy:1. Network-centric Cooperative Signal Design: Cooperative signaling injects ?network? into signal design, thereby breaking conventional boundaries. Nodes have to understand how their transmissions will be perceived, decoded, suppressed, cancelled, enhanced or forwarded by other nodes. This fundamental shift in signal design (from conventional point-to-point PHYsical layer) is being addressed by developing capacity bounds, distributed codes and messaging protocols for scalable cooperation. 2. Signal-centric Cooperative Network Design: The converse to network-inspired signal design is ?signal-centric? network design. Network resource allocation and control have to be cognizant of signal-level interactions between groups of cooperating nodes,? breaking conventional design boundaries in network protocol design. This foundational change is leading to completely new problem formulations in scheduling, routing and protocol design to harness cooperative signal-scale gains.The project goals are nothing short of rewriting networking fundamentals. By questioning the basic design paradigms, we expect the project will impact research in multiple communities. Our experiment codes and measurements will be open-sourced as community asset. We will also establish a unique inter-university education program including joint advising and collaborative experiments.