{"title":"Interferer-Robust Compressed Sensing Receiver Based on Mixer Harmonics","authors":"W. Namgoong, M. Torlak","doi":"10.1109/DySPAN.2019.8935706","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935706","url":null,"abstract":"The underlying assumption in much of the existing work on cognitive radios (CRs) has been the availability of a high-performance CR receiver. Designing an efficient wideband radio that can sense over a broad spectrum is challenging, especially since high-levels of integration and low power are essential for CR systems operating in battery-powered mobile systems. Recently, sensing strategies based on compressed sensing (CS) have been proposed to reduce the sensing time at minimal hardware overhead. Existing CS receivers, however, assume that the signal energy outside the frequency range of interest is negligible. In a real system, unfortunately, this is not an accurate assumption. Because of the difficulty of designing a wideband and high-order filter, the out-of-band interferers remain largely unattenuated, especially those near the edge of the frequency band of interest. The problem with existing CS receivers is that they are sensitive to these out-of-band interferers, which fold in-band and result in significant performance degradation. This paper presents a CS receiver that is more robust to out-of-band interferers, which are inevitably present in realistic operating scenarios. In the proposed receiver, a cascade of multi-phase clocks exploit the harmonics of modern hard-switching commutating mixers to fold the wideband signal to baseband. The proposed receiver is shown to be similar to existing multi-coset receiver but without the folding of the out-of-band interferers. A possible circuit realization of the mixer block is presented, and the effects of circuit non-idealities have been quantified. The proposed receiver outperforms existing CS receiver even in the absence of out-of-band interferers, because unlike existing receivers, it does not fold the out-of-band noise floor to in-band. In the presence of out-of-band interferers, existing CS receivers cease to function while the proposed receiver remains largely unaffected.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"60 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":"121830761","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}
S. Giannoulis, M. Mehari, A. Shahid, Dragoslav Stojadinovic, Maxim Claeys, Farouk Mahfoudhi, Wei Liu, I. Seskar, Steven Latré, I. Moerman, Carlos Donato, R. Mennes, F. A. P. Figueiredo, Irfan Jabandžić, Yorick De Bock, M. Camelo, Jakob Struye, Prasanthi Maddala
{"title":"Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach","authors":"S. Giannoulis, M. Mehari, A. Shahid, Dragoslav Stojadinovic, Maxim Claeys, Farouk Mahfoudhi, Wei Liu, I. Seskar, Steven Latré, I. Moerman, Carlos Donato, R. Mennes, F. A. P. Figueiredo, Irfan Jabandžić, Yorick De Bock, M. Camelo, Jakob Struye, Prasanthi Maddala","doi":"10.1109/DySPAN.2019.8935774","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935774","url":null,"abstract":"This paper presents the architecture and the basic principles behind the design and implementation of the SCATTER system, a wireless end-to-end communication system that participated in the DARPA Second Spectrum Collaboration Challenge (SC2). The focus is mainly on presenting the architecture and the supported interactions between the different components of the system in order to deliver a true dynamic collaborative spectrum allocation and usage, while coexisting with numerous unknown heterogeneous wireless technologies.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"3 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":"123685260","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}
Matthew Troglia, Jordan L. Melcher, Yao Zheng, Dylan Anthony, Alvin Yang, Thomas Yang
{"title":"FaIR: Federated Incumbent Detection in CBRS Band","authors":"Matthew Troglia, Jordan L. Melcher, Yao Zheng, Dylan Anthony, Alvin Yang, Thomas Yang","doi":"10.1109/DySPAN.2019.8935736","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935736","url":null,"abstract":"The next-generation spectrum access system (SAS) for the Citizens Broadband Radio Service band is equipped with environmental sensors (ESCs) to detect the presence of non-informed incumbent users, which allows the SAS to dynamically reassign spectrum resource for low privilege users to avoid interference. However, the performance of existing single-node detection model is limited by the sensor’s geo-locations; whereas a naive distributed sensing network with improved detection accuracy introduces a high bandwidth overhead due to the frequent communication of spectrum data. In addition, many existing coherent spectrum sensing methods are not feasible for CBRS band due to the unknown operational characteristics of incumbent military wireless applications. To address these issues, we propose a machine learning based non-coherent spectrum sensing system: (F)eder(a)ted (I)ncumbent Detection in CB(R)S (FaIR). FaIR leverages a communication-efficient distributed learning framework, federated learning, for ESCs to collaborate and train a data-driven machine learning model for incumbent detection under minimal communication bandwidth. Our preliminary results show that the federated learning method can exploit the spatial diversity of ESCs and obtain an improved detection model comparing to a naive distributed sensing and centralized model framework. We evaluate the FaIR model with a variety of spectrum waveforms at varying SNRs. Our experiments showed that FaIR improves the average detection accuracy compared to the single-node method, using a fraction of the bandwidth compared to the naive multi-node method.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"18 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":"131087470","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}
{"title":"Shared Spectrum Allocation via Pathloss Estimation in Crowdsensed Shared Spectrum Systems","authors":"Himanshu Gupta, Md. Shaifur Rahman, Max Curran","doi":"10.1109/DySPAN.2019.8935638","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935638","url":null,"abstract":"The RF spectrum is a natural resource in great demand. The research community has addressed this unabated increase in demand via development of shared spectrum paradigms, wherein the spectrum is made available to unlicensed users (secondaries) as long as they do not interfere with the transmission of licensed incumbents (primaries). In this paradigm, typically a centralized entity (spectrum manager) is responsible for allocation of spectrum bands to a requesting SU, based on known parameters of the primaries and channel state. Optimal power allocation is important for efficient management of spectrum.In this work, we consider a crowdsourced architecture of the shared spectrum paradigm, wherein the spectrum is monitored by a large number of inexpensive spectrum sensors deployed in the area of interest. In this context, we propose a spectrum allocation algorithm that is based on estimation of path loss from the sensing reports of these spectrum sensors. Such an architecture obviates the need to assume a propagation model, but requires design of accurate estimation techniques. We consider various possible estimation schemes involving splitting of aggregate power received at each sensor and multiple interpolation schemes. We evaluate the performance of our proposed schemes with respect to the optimal allocation, and observe that allocation using the best of our methods is close to the optimal.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"23 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":"132837637","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}
Zhiyang Zhang, Jingchao Bao, Yawen Fan, Husheng Li
{"title":"Wind Sensing by Millimeter Wave Communications","authors":"Zhiyang Zhang, Jingchao Bao, Yawen Fan, Husheng Li","doi":"10.1109/DySPAN.2019.8935795","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935795","url":null,"abstract":"Millimeter wave is a core technology in the 5G cellular communication networks because of its large bandwidth and high data transmission rate. In practice, outdoor fixtures of millimeter wave devices may be affected by oscillations due to wind, thus causing significant frequency/phase change in the communication signal. It can be interpreted as Doppler effect or amplitude modulation. In this paper, the Doppler effect and amplitude modulation caused by wind-triggered oscillations are studied through experiments in the 60GHz band. A mathematical model is built to analyze the relationship between wind speed/direction and frequency/phase oscillation. Based on the model, a wind velocity estimation algorithm is proposed to evaluate its performance through simulations.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"32 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":"124134921","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}
{"title":"Effect of LBT Time on LoRa Network Performance: Signal Detection Theorem Based Analyses","authors":"S. Narieda, T. Fujii, K. Umebayashi","doi":"10.1109/DySPAN.2019.8935847","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935847","url":null,"abstract":"This paper provides analysis results that the effect of energy detection based listen before talk (LBT) time (or detection level of the LBT) on the performance of LoRa Networks. We introduce an approximated analysis method based on signal detection theorem, and we provide a collision probability based analysis results. The results show that the LBT time must be optimized for the improvement of LoRa network performances.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"80 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":"121889176","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}
{"title":"Nationwide Spectrum Sharing of Mobile Network Operators with Indoor Small Cells","authors":"Rony Kumer Saha","doi":"10.1109/DySPAN.2019.8935745","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935745","url":null,"abstract":"In this poster, we propose a novel technique to share licensed spectrums of nationwide mobile network operators (MNOs) with in-building small cells by exploiting the external wall penetration loss of any building and introducing the time-domain eICIC technique. The system architecture and co-channel interference management are discussed and the outperformance of the proposed technique is shown. The proposed spectrum sharing technique can help overcome the scarcity of licensed spectrums of an MNO and boost the indoor data rate and capacity without additional investment on licensing spectrum for indoors.","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":"127959121","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}
{"title":"Deep Learning-Enabled Real-Time Recognition of Wireless Signals","authors":"Christopher Gravelle, Todd Morehouse, Ruolin Zhou","doi":"10.1109/DySPAN.2019.8935820","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935820","url":null,"abstract":"In this demonstration, we perform a software defined radio (SDR) prototype of recognizing wireless signals in real-time. Convolutional Neural Network (CNN), a deep learning algorithm, is applied. Universal Software Radio Peripheral is used as RF front-end to transmit and receive over-the-air signals. MATLAB toolboxes are used to generate waveform for training, build learning models, train and test recognition and classification. Digital modulation types are recognized and classified in this demo. Meanwhile, we propose to demonstrate the classification of multi-carrier waveforms and multiple-in-multiple-out (MIMO) communications.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"111 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":"125571339","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}
{"title":"Spot Markets for Spectrum Measurements","authors":"A. Ghosh, R. Berry","doi":"10.1109/DySPAN.2019.8935666","DOIUrl":"https://doi.org/10.1109/DySPAN.2019.8935666","url":null,"abstract":"The recent framework for spectrum sharing in the 3.5 GHz band allows for Environment Sensing Capability operators (ESCs) to measure spectrum occupancy so as to enable commercial use of this spectrum when federal incumbent users are not present. Each ESC will contract with one or more Spectrum Access Systems (SASs) to provide spectrum occupancy data. Commercial firms using the band will in turn contract with a SAS to determine when it can access the spectrum. Initially, the decisions of which ESC and SAS to partner with will likely be based on long-term contracts. In this paper, we consider an alternative framework, in which an ESC sells its spectrum management information via a spot market so that from period-to-period a commercial user can select a different ESC from which to acquire spectrum measurements. We develop a game theoretic model to analyze such a market and show that using such a spot market may better enable multiple commercial firms to operate in a given spectrum band. We also show that this increased competition may not benefit consumer surplus unless firms adopt a non-stationary strategy profile.","PeriodicalId":278172,"journal":{"name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"22 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":"121421043","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}