SpecEES: Unified System Architecture for Energy Efficient Cognitive Radios

SpecEES：节能认知无线电的统一系统架构

基本信息

批准号：
1920468
负责人：
Won Namgoong
金额：
$ 58.53万
依托单位：
SUNY at Albany
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：
2018-09-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1920468&HistoricalAwards=false
关键词：
SpecEES Unified System Architecture Energy

项目摘要

Although long envisioned to dramatically improve spectrum utilization and to safely share multiple frequency bands without interfering with licensed users, building and deploying energy efficient cognitive radios with dynamic spectrum access have proven to be a challenging task. This project proposes an energy-efficient cognitive radio system that addresses its many practical challenges including a low-power wideband radio that operates in multiple frequency bands and a means to seamlessly and efficiently coordinate the operating bands between communicating unlicensed users. The proposed work presents a complete integrated solution, ranging from radio implementation, signal processing algorithm development, and network connectivity. These different layers of abstraction have been jointly optimized to enable a low-power and robust cognitive radio system.The proposed energy-efficient cognitive radio (CR) system, which is jointly optimized at the circuit, signal processing, and network layers, operates as follows: 1) A secondary user (SU) employs a novel compressed sampling receiver based on polyphase sequences implemented via mixer harmonics to sense concurrently the entire frequency span of interest. 2) Since the communicating band between SUs is unknown, data is transmitted by sending the same signal at low power levels across the entire frequency span of interest while nulling energy in the primary user (PU) bands. A novel sub-Nyquist transmitter, which can be viewed as a dual of the compressed sensing receiver, is proposed for this purpose. 3) The receiving SU uses the same compressed sampling receiver for sensing PUs to receive the SU signals. This is achieved by projecting the received signals to PU's null space, whose frequency locations were estimated during sensing. By appropriately selecting the basis functions set in the analog front-end, most of the received energy can be added coherently. 4) As SU energy is spread across the entire frequency span of interest, the resulting channel impulse response (CIR) is richly scattered. The CIR itself, therefore, can be used as users' signatures for achieving multiple-access communications. Furthermore, by leveraging on techniques from multiuser detection theory, high spectral efficiency can be achieved.

尽管长期以来一直在大幅度提高频谱利用率并安全地共享多个频带而不干扰有执照的用户，但通过动态频谱访问构建和部署能源有效的认知无线电已被证明是一项具有挑战性的任务。该项目提出了一个节能的认知无线电系统，该系统解决了其许多实际挑战，包括在多个频带中运行的低功率宽带无线电，以及一种无缝和高效地协调未经许可用户之间的操作带的手段。拟议的工作提出了一个完整的集成解决方案，从无线电实施，信号处理算法开发和网络连接性等等。这些不同的抽象层已被共同优化，以实现低功率和强大的认知无线电系统。在电路，信号处理和网络层上共同优化了拟议的节能认知无线电（CR）系统，以作为作为作为作用的。以下内容：1）辅助用户（SU）采用基于通过混合器谐波实现的多相序列采用新颖的压缩采样接收器，以同时感知整个感兴趣的频率跨度。 2）由于SUS之间的通信频带尚不清楚，因此通过在整个兴趣频率的低功率级别发送相同的信号来传输数据，而在主要用户（PU）频段中将能量取消能量。为此，提出了一种新型的子扬声发射器，可以将其视为压缩感应接收器的双重二元发射器。 3）接收SU使用相同的压缩采样接收器来接收脓液以接收SU信号。这是通过将接收的信号投影到PU的空空间来实现的，PU的频率位置是在传感过程中估算的。通过适当选择模拟前端中设置的基本函数，可以连贯地添加大多数接收能量。 4）随着SU能量分布在整个感兴趣的频率范围内，所得的通道脉冲响应（CIR）被丰富分散。因此，CIR本身可以用作用户的签名，以实现多个访问通信。此外，通过利用多源检测理论的技术，可以实现高光谱效率。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Regularization Based Sparse Support Recovery for Asynchronous Multicarrier Modulation Signals in Cognitive Radio Networks

认知无线电网络中异步多载波调制信号的基于正则化的稀疏支持恢复

DOI：
10.1109/ictc55196.2022.9952958
发表时间：
2022
期刊：
13th International Conference on Information and Communication Technology Convergence (ICTC
影响因子：
0
作者：
Baral, Ashwin Bhobani;Namgoong, Won;Torlak, Murat
通讯作者：
Torlak, Murat

Interferer-Robust Compressed Sensing Receiver Based on Mixer Harmonics

DOI：
10.1109/dyspan.2019.8935706
发表时间：
2019-11
期刊：
2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
影响因子：
0
作者：
W. Namgoong;M. Torlak
通讯作者：
W. Namgoong;M. Torlak

Joint Sparse Support Recovery for Asynchronous Multicarrier Modulation Signals in Cognitive Radio Networks

认知无线电网络中异步多载波调制信号的联合稀疏支持恢复

DOI：
10.1109/iccworkshops53468.2022.9814672
发表时间：
2022
期刊：
2022 IEEE International Conference on Communications Workshops (ICC Workshops
影响因子：
0
作者：
Baral, Ashwin Bhobani;Namgoong, Won;Torlak, Murat
通讯作者：
Torlak, Murat

Spectral Detection of Frequency-Sparse Signals: Compressed Sensing vs. Sweeping Spectrum Scanning