2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)最新文献_第8页

Spectrum Awareness at the Edge: Modulation Classification using Smartphones 边缘频谱感知:使用智能手机的调制分类

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935775

N. Soltani, K. Sankhe, Stratis Ioannidis, Dheryta Jaisinghani, K. Chowdhury

{"title":"Spectrum Awareness at the Edge: Modulation Classification using Smartphones","authors":"N. Soltani, K. Sankhe, Stratis Ioannidis, Dheryta Jaisinghani, K. Chowdhury","doi":"10.1109/DySPAN.2019.8935775","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935775","url":null,"abstract":"As spectrum becomes crowded and spread over wide ranges, there is a growing need for efficient spectrum management techniques that need minimal, or even better, no human intervention. Identifying and classifying wireless signals of interest through deep learning is a first step, albeit with many practical pitfalls in porting laboratory-tested methods into the field. Towards this aim, this paper proposes using Android smartphones with TensorFlow Lite as an edge computing device that can run GPU-trained deep Convolutional Neural Networks (CNNs) for modulation classification. Our approach intelligently identifies the SNR region of the signal with high reliability (over 99%) and chooses grouping of modulation labels that can be predicted with high (over 95%) detection probability. We demonstrate that while there are no significant differences between the GPU and smartphone in terms of classification accuracy, the latter takes much less time (down to $frac{1}{870}{mathrm {x}}$), memory space ($frac{1}{3}$ of the original size), and consumes minimal power, which makes our approach ideal for ubiquitous smartphone-based signal classification.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129895832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Security Assessment of Wideband Spectrum Sensors 宽带频谱传感器的安全评估

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935821

R. Yazicigil, Deepak Gopalan, D. Starobinski

{"title":"Security Assessment of Wideband Spectrum Sensors","authors":"R. Yazicigil, Deepak Gopalan, D. Starobinski","doi":"10.1109/DySPAN.2019.8935821","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935821","url":null,"abstract":"We investigate security vulnerabilities of wideband spectrum sensors to denial of service (DoS) attacks, launched by an adversary with limited power budget. We survey traditional spectrum analysis methods and compressed-sensing (CS) spectrum sensors in terms of their operation principles and system performance metrics. We develop and simulate end-to-end system models of the wideband spectrum sensors to evaluate their detection probabilities and false alarm probabilities in both non-adversarial and adversarial environments. We show that sweeping spectrum scanners are inherently secure against DoS attacks due to their high dynamic range and small instantaneous bandwidth (BW) equal to their resolution bandwidth. Next, we evaluate Nyquist-rate FFT-based spectrum sensors and show that they are only vulnerable to high-power DoS attacks due to their wide instantaneous BW equal to their Span. These traditional spectrum sensors, however, have high energy consumption for wideband RF spectrum sensing either due to their long scan time or high power. Thus, CS spectrum sensors have recently been proposed as an alternative for RF spectrum sensing thanks to their low energy consumption and fast scan time. A major contribution of this paper is to show that CS spectrum sensors are vulnerable to stealthy DoS attacks (i.e., the attacks are hard to detect). For the same attacker power budget, we further show that the attacks become more potent if the adversary uses multiple attack signals with low power rather than a single attack signal with high power. Finally, we discuss possible countermeasures against the attacks.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130079601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The IEEE1900.5.1 standard: Policy Language for Dynamic Spectrum Access Systems IEEE1900.5.1标准:动态频谱接入系统的策略语言

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935761

R. Schrage, Carlos E. Caicedo Bastidas

引用次数: 0

MIMO Radar Privacy Protection Through Gradient Enforcement in Shared Spectrum Scenarios 基于梯度增强的共享频谱MIMO雷达隐私保护

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935749

Ahmed Al Hilli, A. Petropulu, K. Psounis

{"title":"MIMO Radar Privacy Protection Through Gradient Enforcement in Shared Spectrum Scenarios","authors":"Ahmed Al Hilli, A. Petropulu, K. Psounis","doi":"10.1109/DySPAN.2019.8935749","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935749","url":null,"abstract":"Spectrum sharing between radar and cellular communication systems has been proposed by spectrum regulatory agencies for achieving more efficient use of spectrum. Enabling such sharing requires strategies that control the interference between the two systems. A cooperative approach for spectrum sharing between a MIMO radar and a MIMO communication system has been recently proposed, in which, cooperation is supervised by a controller, who collects information from both system and designs a precoding scheme for the communication system so that it interferes minimally with the radar. However, the precoding matrix contains implicit information about the radar, and could be used by an adversary to violate the radar’s privacy. In this paper, we show how the radar angle with respect to the communication unit can be estimated based on the precoding matrix. We also propose a precoder design approach considering the trade off between the interference power and radar privacy. The proposed approach obfuscates the radar location at the cost of a slight increase in the interference power to the radar.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131076561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Data Fusion and Alignment for Location-Aware Crowdsourcing Applications 位置感知众包应用的数据融合和对齐

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935689

Yonghang Jiang, Yang Liu, Zhenjiang Li

引用次数: 1

Possibility of Dynamic Spectrum Sharing System by VHF-band Radio Sensor and Machine Learning 基于vhf波段无线电传感器和机器学习的动态频谱共享系统的可能性

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935871

Takayuki Hayashida, Ryota Okumura, K. Mizutani, H. Harada

引用次数: 3

Multi-Objective Approach to Improve Load Balance and Blockage in Millimeter Wave Cellular Networks 改善毫米波蜂窝网络中负载平衡和阻塞的多目标方法

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935842

Masoud Zarifneshat, P. Roy, Li Xiao

{"title":"Multi-Objective Approach to Improve Load Balance and Blockage in Millimeter Wave Cellular Networks","authors":"Masoud Zarifneshat, P. Roy, Li Xiao","doi":"10.1109/DySPAN.2019.8935842","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935842","url":null,"abstract":"One of the main enabling technologies of 5G wireless networks is to use mm-Wave spectrum band. Despite its large and wide frequency bandwidth, the obtained data rate can be diminished due to link blockage in this frequency band. In this paper, we formulate a bi-objective optimization problem to optimize user association in cellular networks with mm-Wave enabled base stations. The two objectives to minimize are maximum base station utility and blockage score (to indicate the chance of a link getting blocked). We simulate three different scalarization methods to turn a bi-objective vector into a scalar. Since the combinatorial bi-objective problem is NP-Hard, we conduct Lagrangian dual analysis on all of the scalarization methods. Solving the dual problem decreases the time complexity of the solver algorithm, but the solution has a distance from the optimal point created by solving the primal. We also solve the primal optimization problem with a single objective optimization tool. Compared to the time complexity of the primal problem of scalarization methods, the time complexities of solutions to the dual problems are lower. The results show that our solution to bi-objective optimization problem has a better outcome in terms of the number of link blockage and the maximum base station utility compared to optimizing each objective alone.1","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131261924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Real-Time Geographical Spectrum Sharing by 5G Networks and Earth Exploration Satellite Services 5G网络和地球探测卫星业务的实时地理频谱共享

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935715

E. Eichen

引用次数: 4

Scatter Phy: A Physical Layer for the DARPA Spectrum Collaboration Challenge 散射物理:DARPA频谱协作挑战的物理层

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935734

F. A. P. Figueiredo, Dragoslav Stojadinovic, Prasanthi Maddala, R. Mennes, Irfan Jabandžić, Xianjun Jiao, I. Moerman

{"title":"Scatter Phy: A Physical Layer for the DARPA Spectrum Collaboration Challenge","authors":"F. A. P. Figueiredo, Dragoslav Stojadinovic, Prasanthi Maddala, R. Mennes, Irfan Jabandžić, Xianjun Jiao, I. Moerman","doi":"10.1109/DySPAN.2019.8935734","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935734","url":null,"abstract":"DARPA has started the Spectrum Collaboration Challenge with the aim to encourage research and development of coexistence and collaboration techniques of heterogeneous networks in the same wireless spectrum bands. Team SCATTER has participated in the challenge from its beginning and is currently preparing for the final phase of the competition. SCATTER’s physical layer (SCATTER PHY) has been developed as a standalone application, with the ability to communicate with higher layers of SCATTER’s system via ZeroMQ, and uses USRP X310 software-defined radio devices to send and receive wireless signals. SCATTER PHY relies on USRP’s ability to schedule timed commands, uses both physical interfaces of the radio devices, utilizes the radio’s internal FPGA board to implement custom high-performance filtering blocks in order to increase its spectral efficiency as well as enable reliable usage of neighboring spectrum bands. This paper describes the design and main features of SCATTER PHY and showcases the experiments performed to verify the achieved benefits.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126682444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Estimating the Required Training Dataset Size for Transmitter Classification Using Deep Learning 使用深度学习估计发射机分类所需的训练数据集大小

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2019-11-01 DOI: 10.1109/DySPAN.2019.8935823

T. Oyedare, J. Park

{"title":"Estimating the Required Training Dataset Size for Transmitter Classification Using Deep Learning","authors":"T. Oyedare, J. Park","doi":"10.1109/DySPAN.2019.8935823","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935823","url":null,"abstract":"Despite the recent surge in the application of deep learning to wireless communication problems, very little is known about the required training dataset size to solve difficult problems with acceptable accuracy, including the problem of transmitter classification. Many researchers use rules-of-thumb to find out how much training data is needed for certain classification or identification tasks. For the artificial neural network (ANN) research, these rules of thumb may suffice, however, for convolutional neural networks (CNN), a class of deep neural networks, these rules of thumb may not hold, and researchers are often left to Figure out the training dataset size needed for accurate classification. In this paper, we investigate the correlation between training dataset size and classification accuracy for transmitter classification applications by investigating whether the rules-of-thumb used in ANN research applies in CNN-based transmitter classification tasks. We predict classification performance of a CNN-based architecture given a dataset size using a power law model and the Levenberg-Marquardt algorithm. We use the chi-squared goodness-of-fit test to validate our predicted model. Our results show that we can predict classification accuracy for larger training dataset sizes with different experimental scenarios with at least 97.5% accuracy. We also compare our scheme with similar prior works in wireless transmitter classification. Finally, we propose a rule-of-thumb for the required training dataset size in transmitter classification using CNNs.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121554327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21