Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920760
M. Palola, M. Höyhtyä, Pekka Aho, M. Mustonen, Tero Kippola, Marjo Heikkilä, Seppo Yrjölä, Vesa Hartikainen, L. Tudose, Arto Kivinen, R. Ekman, Juhani Hallio, J. Paavola, Marko Mäkeläinen, T. Hänninen
In this paper, we describe a spectrum access system (SAS) based Citizens Broadband Radio Service (CBRS) field trial using a live LTE network in the 3.5 GHz band. The latest WInnForum specification guided the implementation of the relevant protocols for SAS operation. Here, we evaluate the performance of a CBRS field trial by using one of the most important performance indicators in a spectrum sharing scenario — the evacuation time. It indicates how rapidly the secondary user relinquishes the shared spectrum band to the primary user. Following the applied protocols, we measure and analyze the time scales for the evacuation and frequency change procedures in a field trial environment. Our work shows that the set time limits for the protection of primary users against interference are realistic when using commercially available mobile networks and equipment. Finally, utilizing knowledge of the latest base station models, we propose ways to reduce the evacuation and reconfiguration time by up to 70%.
{"title":"Field trial of the 3.5 GHz citizens broadband radio service governed by a spectrum access system (SAS)","authors":"M. Palola, M. Höyhtyä, Pekka Aho, M. Mustonen, Tero Kippola, Marjo Heikkilä, Seppo Yrjölä, Vesa Hartikainen, L. Tudose, Arto Kivinen, R. Ekman, Juhani Hallio, J. Paavola, Marko Mäkeläinen, T. Hänninen","doi":"10.1109/DySPAN.2017.7920760","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920760","url":null,"abstract":"In this paper, we describe a spectrum access system (SAS) based Citizens Broadband Radio Service (CBRS) field trial using a live LTE network in the 3.5 GHz band. The latest WInnForum specification guided the implementation of the relevant protocols for SAS operation. Here, we evaluate the performance of a CBRS field trial by using one of the most important performance indicators in a spectrum sharing scenario — the evacuation time. It indicates how rapidly the secondary user relinquishes the shared spectrum band to the primary user. Following the applied protocols, we measure and analyze the time scales for the evacuation and frequency change procedures in a field trial environment. Our work shows that the set time limits for the protection of primary users against interference are realistic when using commercially available mobile networks and equipment. Finally, utilizing knowledge of the latest base station models, we propose ways to reduce the evacuation and reconfiguration time by up to 70%.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114751533","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920748
M. Laghate, S. Chaudhari, D. Cabric
Blind modulation classification problem is particularly difficult when the exact frequency band of the signal is unknown since the modulation classifiers require accurate estimates of the signal parameters such as center frequency, bandwidth, and SNR. In this work, we demonstrate a hierarchical classification tree that filters and classifies a received signal as AM, FM, 4/16/64-QAM, 2/4/8-PAM, 4/8/16-PSK, DSSS, and FSK. Coarse estimates of signal parameters are obtained from energy detection and are refined using cyclostationary estimators. Cumulants and cyclostationarity are used to classify AM and FM while a reduced complexity Kuiper test is used for differentiating modulation level for QAM, PAM, and PSK. The effects of multipath are countered using a blind equalizer. The classifier is implemented in C++ using GNURadio libraries and is demonstrated using a USRP N210.
{"title":"USRP N210 demonstration of wideband sensing and blind hierarchical modulation classification","authors":"M. Laghate, S. Chaudhari, D. Cabric","doi":"10.1109/DySPAN.2017.7920748","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920748","url":null,"abstract":"Blind modulation classification problem is particularly difficult when the exact frequency band of the signal is unknown since the modulation classifiers require accurate estimates of the signal parameters such as center frequency, bandwidth, and SNR. In this work, we demonstrate a hierarchical classification tree that filters and classifies a received signal as AM, FM, 4/16/64-QAM, 2/4/8-PAM, 4/8/16-PSK, DSSS, and FSK. Coarse estimates of signal parameters are obtained from energy detection and are refined using cyclostationary estimators. Cumulants and cyclostationarity are used to classify AM and FM while a reduced complexity Kuiper test is used for differentiating modulation level for QAM, PAM, and PSK. The effects of multipath are countered using a blind equalizer. The classifier is implemented in C++ using GNURadio libraries and is demonstrated using a USRP N210.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117063856","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920784
Francisco Paisana, Ahmed A. S. Seleim, Maicon Kist, Pedro Alvarez, J. Tallon, Christian Blümm, André Puschmann, L. Dasilva
This paper describes the design, experimental assessmant and Software Defined Radio (SDR) implementation of a Secondary User (SU) link for the IEEE DySPAN Challenge 2017. The objective is to successfully discern the behavior of and coexist with a Primary User (PU), whose channel access patterns vary over time. For that end, we utilize sensing, deep learning and dynamic optimization.
{"title":"Context-aware cognitive radio using deep learning","authors":"Francisco Paisana, Ahmed A. S. Seleim, Maicon Kist, Pedro Alvarez, J. Tallon, Christian Blümm, André Puschmann, L. Dasilva","doi":"10.1109/DySPAN.2017.7920784","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920784","url":null,"abstract":"This paper describes the design, experimental assessmant and Software Defined Radio (SDR) implementation of a Secondary User (SU) link for the IEEE DySPAN Challenge 2017. The objective is to successfully discern the behavior of and coexist with a Primary User (PU), whose channel access patterns vary over time. For that end, we utilize sensing, deep learning and dynamic optimization.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129799197","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920766
Bertold Van den Bergh, D. Giustiniano, Héctor Cordobés, Markus Fuchs, Roberto Calvo-Palomino, S. Pollin, Sreeraj Rajendran, Vincent Lenders
We present Electrosense: a distributed, collaborative and low-cost wireless spectrum monitoring solution which is deployed on a large scale. The proposed framework provides tools to enable and promote a crowdsourced open spectrum monitoring platform for wide area deployments. The collected spectrum data is stored and processed in the backend which can be easily retrieved by the users through an open API. The framework also allows using various signal processing algorithms deployed on the sensors as well as in the backend. These algorithms provide statistics on spectrum usage, collaborative spectrum data decoding, help in applications like anomaly detection and localization. The goal of the demo is to introduce the framework, show the infrastructure already deployed, how to join the network and demo a few built-in applications.
{"title":"Electrosense: Crowdsourcing spectrum monitoring","authors":"Bertold Van den Bergh, D. Giustiniano, Héctor Cordobés, Markus Fuchs, Roberto Calvo-Palomino, S. Pollin, Sreeraj Rajendran, Vincent Lenders","doi":"10.1109/DySPAN.2017.7920766","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920766","url":null,"abstract":"We present Electrosense: a distributed, collaborative and low-cost wireless spectrum monitoring solution which is deployed on a large scale. The proposed framework provides tools to enable and promote a crowdsourced open spectrum monitoring platform for wide area deployments. The collected spectrum data is stored and processed in the backend which can be easily retrieved by the users through an open API. The framework also allows using various signal processing algorithms deployed on the sensors as well as in the backend. These algorithms provide statistics on spectrum usage, collaborative spectrum data decoding, help in applications like anomaly detection and localization. The goal of the demo is to introduce the framework, show the infrastructure already deployed, how to join the network and demo a few built-in applications.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121979681","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920754
Nathan E. West, Tim O'Shea
We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that ratio modulation recognition is not limited by network depth and further work should focus on improving learned synchronization and equalization. Advances in these areas will likely come from novel architectures designed for these tasks or through novel training methods.
{"title":"Deep architectures for modulation recognition","authors":"Nathan E. West, Tim O'Shea","doi":"10.1109/DySPAN.2017.7920754","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920754","url":null,"abstract":"We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that ratio modulation recognition is not limited by network depth and further work should focus on improving learned synchronization and equalization. Advances in these areas will likely come from novel architectures designed for these tasks or through novel training methods.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133174740","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920747
Jack L. Ziegler, Robert T. Arn, W. Chambers
Recognition and classification of the modulation format of received signals in real time is a challenging but necessary task for the intelligence community. Without prior knowledge of the received data, such as power, frequency, and phase, coupled with real-world concerns such as signal degradation and interference, the task of reconstructing the sent information is made even more complex. Our approach for classifying modulation types of live over-the-air signals, a precursor step to demodulation, involves using software defined radio plus two simple and inexpensive transceivers to train a series of neural networks over a set of three data types.
{"title":"Modulation recognition with GNU radio, keras, and HackRF","authors":"Jack L. Ziegler, Robert T. Arn, W. Chambers","doi":"10.1109/DySPAN.2017.7920747","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920747","url":null,"abstract":"Recognition and classification of the modulation format of received signals in real time is a challenging but necessary task for the intelligence community. Without prior knowledge of the received data, such as power, frequency, and phase, coupled with real-world concerns such as signal degradation and interference, the task of reconstructing the sent information is made even more complex. Our approach for classifying modulation types of live over-the-air signals, a precursor step to demodulation, involves using software defined radio plus two simple and inexpensive transceivers to train a series of neural networks over a set of three data types.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129300626","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}
Pub Date : 2017-03-06DOI: 10.1109/DYSPAN.2017.7920765
Davis Rempe, M. Snyder, Andrew Pracht, A. Schwarz, Tri Nguyen, Mitchel Vostrez, Zhongyuan Zhao, M. Vuran
With the next-generation over-the-air (OTA) TV standard, Advanced Television Systems Committee (ATSC) 3.0, TV receiver feedback via broadband or dedicated radio channel will become a standard feature. Real-time TV receiver feedback potentially allows secondary users to access active TV channels without interfering with TV users, which would bring 6–10-fold data rate increase on top of the current TV white-space (TVWS) policy in many metropolitan areas, where a few TVWS channels are available. This demonstration is a proof of concept prototype implementation of a cognitive radio TV (CR-TV) set that allows for dynamic usage of underutilized TV spectrum bands. The demonstration will show the main system capabilities of watching broadcast television, determining unused TV bands in a neighborhood through a spectrum database, and transmitting a custom ATSC signal on the optimal unused channel. Additionally, the system ensures the precedence of licensed users by quickly evacuating channels that are taken by a primary user and finding the next most optimal channel, causing minimal interference. The primary user assisted secondary spectrum access could substantially alleviate the spectrum shortage in areas with the highest wireless traffic volume. In addition, to the best of our knowledge, the demonstration provides the first USRP implementation of an ATSC transmitter, which can benefit the community.
{"title":"A cognitive radio TV prototype for effective TV spectrum sharing","authors":"Davis Rempe, M. Snyder, Andrew Pracht, A. Schwarz, Tri Nguyen, Mitchel Vostrez, Zhongyuan Zhao, M. Vuran","doi":"10.1109/DYSPAN.2017.7920765","DOIUrl":"https://doi.org/10.1109/DYSPAN.2017.7920765","url":null,"abstract":"With the next-generation over-the-air (OTA) TV standard, Advanced Television Systems Committee (ATSC) 3.0, TV receiver feedback via broadband or dedicated radio channel will become a standard feature. Real-time TV receiver feedback potentially allows secondary users to access active TV channels without interfering with TV users, which would bring 6–10-fold data rate increase on top of the current TV white-space (TVWS) policy in many metropolitan areas, where a few TVWS channels are available. This demonstration is a proof of concept prototype implementation of a cognitive radio TV (CR-TV) set that allows for dynamic usage of underutilized TV spectrum bands. The demonstration will show the main system capabilities of watching broadcast television, determining unused TV bands in a neighborhood through a spectrum database, and transmitting a custom ATSC signal on the optimal unused channel. Additionally, the system ensures the precedence of licensed users by quickly evacuating channels that are taken by a primary user and finding the next most optimal channel, causing minimal interference. The primary user assisted secondary spectrum access could substantially alleviate the spectrum shortage in areas with the highest wireless traffic volume. In addition, to the best of our knowledge, the demonstration provides the first USRP implementation of an ATSC transmitter, which can benefit the community.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121312714","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920759
D. Guiducci, C. Carciofi, V. Petrini, S. Pompei, Jesus Llorente Santos, Vicent Ferrer Guasch, J. Costa-Requena, Eva Spina, Giuseppe De Sipio, D. Massimi, D. Spoto, Fabrizio Amerighi, Tommaso Magliocca, H. Kokkinen, P. Chawdhry, Luigi Ardito, Seppo Yrjölä, Vesa Hartikainen, L. Tudose, Pierre-Jean Müller, M. Gianesin, Fausto Grazioli, Donatella Caggiati
This paper presents the world's first technical and regulatory pilot on Licensed Shared Access (LSA) in the 3GPP Band 40, i.e. 2.3–2.4 GHz band, enacted in Italy to delve deeper on the role that spectrum sharing has for efficient use of spectrum. The Italian Administration, in collaboration with the Joint Research Centre of the European Commission and the support of a consortium of industrial partners, has been the first in the world to promote and organize a LSA pilot on a large scale to verify both the technical feasibility and regulatory compliance of this technique applied to a real, live LTE network. The paper firstly introduces the pilot architecture and configuration and describes the sharing framework in the Italian scenario, then key measurements results are presented. The pilot implements a distributed control architecture in compliance with CEPT and ETSI provisions. Measurement results show the sharing based on LSA is feasible to provide mobile broadband services in the 2300–2400 MHz band without detriment to incumbent services.
{"title":"Sharing under licensed shared access in a live LTE network in the 2.3–2.4 GHz band end-to-end architecture and compliance results","authors":"D. Guiducci, C. Carciofi, V. Petrini, S. Pompei, Jesus Llorente Santos, Vicent Ferrer Guasch, J. Costa-Requena, Eva Spina, Giuseppe De Sipio, D. Massimi, D. Spoto, Fabrizio Amerighi, Tommaso Magliocca, H. Kokkinen, P. Chawdhry, Luigi Ardito, Seppo Yrjölä, Vesa Hartikainen, L. Tudose, Pierre-Jean Müller, M. Gianesin, Fausto Grazioli, Donatella Caggiati","doi":"10.1109/DySPAN.2017.7920759","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920759","url":null,"abstract":"This paper presents the world's first technical and regulatory pilot on Licensed Shared Access (LSA) in the 3GPP Band 40, i.e. 2.3–2.4 GHz band, enacted in Italy to delve deeper on the role that spectrum sharing has for efficient use of spectrum. The Italian Administration, in collaboration with the Joint Research Centre of the European Commission and the support of a consortium of industrial partners, has been the first in the world to promote and organize a LSA pilot on a large scale to verify both the technical feasibility and regulatory compliance of this technique applied to a real, live LTE network. The paper firstly introduces the pilot architecture and configuration and describes the sharing framework in the Italian scenario, then key measurements results are presented. The pilot implements a distributed control architecture in compliance with CEPT and ETSI provisions. Measurement results show the sharing based on LSA is feasible to provide mobile broadband services in the 2300–2400 MHz band without detriment to incumbent services.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125520368","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920749
Kostis Triantafyllakis, M. Surligas, George Vardakis, Stefanos Papadakis
We propose an architecture that incorporates an automatic modulation classification (AMC) mechanism, assisted by Random Forest machine learning (ML) classifiers. Using this architecture we are able to distinguish a variety of digital and analog modulation schemes under various SNR environments.
{"title":"Phasma: An automatic modulation classification system based on Random Forest","authors":"Kostis Triantafyllakis, M. Surligas, George Vardakis, Stefanos Papadakis","doi":"10.1109/DySPAN.2017.7920749","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920749","url":null,"abstract":"We propose an architecture that incorporates an automatic modulation classification (AMC) mechanism, assisted by Random Forest machine learning (ML) classifiers. Using this architecture we are able to distinguish a variety of digital and analog modulation schemes under various SNR environments.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128822868","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}
Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920751
M. Laghate, D. Cabric
In this work, we study the wideband sensing problem of detecting intermittently transmitting signals that may have partial spectral overlap. We aim to estimate the frequency bands occupied by transmitters using standards with overlapping frequency bands, such as IEEE 802.11, and those without guard bands, such as LTE-Advanced. Multiple power spectrum measurements are used to distinguish the distinct bands. An extreme ray based non-negative matrix factorization algorithm is proposed to identify measurements where a single transmitter is active. Distinct bands are identified in the presence of frequency-selective fading by using a combinatorial search. In addition, we propose a novel algorithm to automatically estimate the noise power spectrum by identifying measurements that do not have significant signal energy. Its ability to learn colored noise and LO leakage in the signal is demonstrated through USRP measurements. The dependence of the proposed algorithm's performance on the medium access control protocol used by the primary users is discussed. MATLAB simulations are used to verify that the proposed algorithm detects the occupied bands more accurately than existing methods. Over the air USRP measurements in the 2.4 GHz ISM band are used to detect the occupied WiFi channels in a university environment.
{"title":"Using multiple power spectrum measurements to sense signals with partial spectral overlap","authors":"M. Laghate, D. Cabric","doi":"10.1109/DySPAN.2017.7920751","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920751","url":null,"abstract":"In this work, we study the wideband sensing problem of detecting intermittently transmitting signals that may have partial spectral overlap. We aim to estimate the frequency bands occupied by transmitters using standards with overlapping frequency bands, such as IEEE 802.11, and those without guard bands, such as LTE-Advanced. Multiple power spectrum measurements are used to distinguish the distinct bands. An extreme ray based non-negative matrix factorization algorithm is proposed to identify measurements where a single transmitter is active. Distinct bands are identified in the presence of frequency-selective fading by using a combinatorial search. In addition, we propose a novel algorithm to automatically estimate the noise power spectrum by identifying measurements that do not have significant signal energy. Its ability to learn colored noise and LO leakage in the signal is demonstrated through USRP measurements. The dependence of the proposed algorithm's performance on the medium access control protocol used by the primary users is discussed. MATLAB simulations are used to verify that the proposed algorithm detects the occupied bands more accurately than existing methods. Over the air USRP measurements in the 2.4 GHz ISM band are used to detect the occupied WiFi channels in a university environment.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129286788","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}
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