ICE-T: RC: Orchestration and Reconfiguration Control Architecture for Software Defined Radios

ICE-T：RC：软件定义无线电的编排和重新配置控制架构

• 批准号: 1836901
• 负责人: Ivan Seskar
• 金额: $ 30万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836901&HistoricalAwards=false
• 关键词: ICE; RC; Orchestration; Reconfiguration; Control

Wireless networks have grown enormously during the past 30 years, impacting numerous industries, including telecommunications, emergency response, and entertainment. Wireless advances could radically change several industries in the near future, including manufacturing, the automotive industry, healthcare, assisted living, public events, home automation, and utilities. However, each industry has different, often opposing, wireless demands. Manufacturing often requires a low data rate, ultra-low latency closed loop communication between machines, while emerging augmented reality interactions between people have much larger large data volumes, but can tolerate higher latency. Today, applications and services are constrained to a handful of wireless technologies, such as 4G, Wi-Fi and Bluetooth, because developing and modifying new radio protocols requires many man-years. The challenge for the wireless community is to enable wireless networks the same flexibility as regular computing devices, such as laptops or phones, where the same hardware supports a near infinite variety of behaviors realized in software. Flexibility at the wireless level has lagged as radios have been implemented as fixed-function circuits, in order to minimize marginal cost, energy use, and network latency. Enabling such flexibility would open opportunities for new wireless functions in diverse application domains. While the emerging field of Software-Defined Radio (SDR) has made progress toward this vision, recent results have shown that traditional SDRs suffer serious limitations. The main problem is the slower sequential execution, even when using multicore central processing units (CPUs) or graphics processing units (GPUs), in contrast to the fast execution and high parallelization in application-specific integrated circuits (ASICs)or field-programmable gate arrays (FPGAs). This research will explore and evaluate a new software abstraction, Dynamic Blocks (DB), which will realize many software abstractions in an SDR FPGA, including procedure calls, recursion, queuing, dynamic routing, shared memory and matrix algebra. Realizing these abstractions in FPGAs will allow developers to rapidly try new designs or modify existing ones while meeting real-time latency and low energy requirements. The project will use millimeter-wave (mmWave) scenarios to evaluate real-time SDRs programmed using DBs. The SDRs available in the ORBIT testbed at Rutgers University, and the future mmWave capable equipment from the recently-funded COSMOS platform and European Union partners would be the target platforms for this research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

无线网络在过去的30年里发展迅速，影响了许多行业，包括电信、应急响应和娱乐。在不久的将来，无线技术的进步可能会从根本上改变几个行业，包括制造业、汽车业、医疗保健、辅助生活、公共活动、家庭自动化和公用事业。然而，每个行业都有不同的、往往是对立的无线需求。制造业通常需要机器之间的低数据速率、超低延迟闭环通信，而新兴的增强现实人与人之间的交互具有更大的大数据量，但可以容忍更高的延迟。今天，应用程序和服务仅限于少数无线技术，如4G、Wi-Fi和蓝牙，因为开发和修改新的无线电协议需要许多人的时间。无线社区面临的挑战是使无线网络具有与常规计算设备（如笔记本电脑或电话）相同的灵活性，在这些设备中，相同的硬件支持在软件中实现的几乎无限多种行为。为了最小化边际成本、能源使用和网络延迟，无线层面的灵活性已经滞后，因为无线电已经被实现为固定功能电路。实现这种灵活性将为不同应用领域的新无线功能提供机会。虽然软件定义无线电（SDR）这一新兴领域在实现这一愿景方面取得了进展，但最近的结果表明，传统的SDR存在严重的局限性。与专用集成电路（asic）或现场可编程门阵列（fpga）的快速执行和高并行化相比，主要问题是顺序执行较慢，即使使用多核中央处理单元（cpu）或图形处理单元（gpu）时也是如此。本研究将探索和评估一种新的软件抽象——动态块（Dynamic Blocks， DB），它将在SDR FPGA中实现许多软件抽象，包括过程调用、递归、排队、动态路由、共享内存和矩阵代数。在fpga中实现这些抽象将允许开发人员快速尝试新设计或修改现有设计，同时满足实时延迟和低能耗要求。该项目将使用毫米波（mmWave）场景来评估使用db编程的实时sdr。罗格斯大学ORBIT测试平台上可用的sdr，以及最近资助的COSMOS平台和欧盟合作伙伴的未来毫米波设备将成为这项研究的目标平台。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Accelerating Channel Estimation and Demodulation of Uplink OFDM symbols for Large Scale Antenna Systems using GPU

使用 GPU 加速大规模天线系统的上行链路 OFDM 符号的信道估计和解调

• DOI: 10.1109/iccnc.2019.8685544
• 发表时间: 2019
• 期刊: Networking and Communications
• 作者: Gokalgandhi, Bhargav;Segerholm, Christina;Paul, Nilanjan;Seskar, Ivan
• 通讯作者: Seskar, Ivan

Synthetic Wireless Signal Generation for Neural Network Algorithms

神经网络算法的合成无线信号生成

• DOI: 10.1109/cscn53733.2021.9686084
• 发表时间: 2021
• 期刊: IEEE Conference on Standards for Communications and Networking
• 作者: Burns, Tina L.;Martin, Richard P.;Ortiz, Jorge;Seskar, Ivan;Stojadinovic, Dragoslav;Davis, Ryan;Camelo, Miguel
• 通讯作者: Camelo, Miguel

Evaluating Deep Learning Networks for Modulation Recognition

评估深度学习网络的调制识别

• DOI: 10.1109/dyspan53946.2021.9677368
• 发表时间: 2021
• 期刊: IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks
• 作者: Burns, Tina L.;Martin, Richard P.;Ortiz, Jorge;Seskar, Ivan;Stojadinovic, Dragoslav;Davis, Ryan;Camelo, Miguel
• 通讯作者: Camelo, Miguel

SC2 CIL: Evaluating the Spectrum Voxel Announcement Benefits

SC2 CIL：评估 Spectrum Voxel 公告的好处

• DOI: 10.1109/dyspan.2019.8935730
• 发表时间: 2019
• 期刊: IEEE International Symposium on Dynamic Spectrum Access Networks
• 作者: Stojadinovic, Dragoslav;de Figueiredo, Felipe A.;Maddala, Prasanthi;Seskar, Ivan;Trappe, Wade
• 通讯作者: Trappe, Wade

A Spectrum Consumption Model-based Framework for DSA Experimentation on the COSMOS Testbed

基于频谱消耗模型的 COSMOS 测试平台 DSA 实验框架

• DOI: 10.1145/3477086.3480836
• 发表时间: 2021
• 期刊: Experimental evaluation & CHaracterization (WiNTECH’21
• 作者: Stojadinovic, Dragoslav;Netalkar, Prasad;Bastidas, Carlos E.;Kadota, Igor;Zussman, Gil;Seskar, Ivan;Raychaudhuri, Dipankar
• 通讯作者: Raychaudhuri, Dipankar