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

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:
$30.0万
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
项目状态:
已结题
起止时间:
2018-10-01 至 2021-09-30

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中文摘要
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英文摘要
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.
期刊论文(8)
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会议论文
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
影响因子: --
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
影响因子: --
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
影响因子: --
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
影响因子: --
作者: [Stojadinovic, Dragoslav, de Figueiredo, Felipe A., Maddala, Prasanthi, Seskar, Ivan, Trappe, Wade]
通讯作者: Trappe, Wade
6
    Collaborative Research: SII-NRDZ:Spectrum Sharing via Consumption Models and Telemetry - Prototyping and Field Testing in an Urban FCC Innovation Zone
    • 批准号:
      2232459
    • 项目类别:
      Standard Grant
    • 资助金额:
      $29.0万
    • 财政年份:
      2023
    • 负责人:
      Ivan Seskar
    • 依托单位:
    EAGER: Collaborative Research: SciWiNet: a Science Wireless Network for the Research Community
    • 批准号:
      1346633
    • 项目类别:
      Standard Grant
    • 资助金额:
      $5.16万
    • 财政年份:
      2013
    • 负责人:
      Ivan Seskar
    • 依托单位:
    CI-ADDO-NEW: Collaborative Research: WiSER Dynamic Spectrum Access Platform and Infrastructure
    • 批准号:
      1305171
    • 项目类别:
      Standard Grant
    • 资助金额:
      $28.8万
    • 财政年份:
      2013
    • 负责人:
      Ivan Seskar
    • 依托单位:
    国内基金
    海外基金
    功能化 UHPC 主动修复滨海锈蚀 RC 墩柱抗撞性能研究
    • 批准号:
      ZCLZ26E0801
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      赵昕
    • 依托单位:
    考虑钢筋-混凝土界面损伤的RC柱钻孔爆破破坏机理与破坏效果智能预测
    • 批准号:
      JCZRQNB202600708
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
    • 依托单位:
    UHPC-RC-钢板组合桥面板力学行为及承载机理
    • 批准号:
      2026JJ50470
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      裴必达
    • 依托单位:
    山区落石冲击作用下UHPC加固RC梁的抗冲击性能与设计方法研究
    • 批准号:
      2026JJ80666
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      丁雅博
    • 依托单位: