Pub Date : 2017-03-06DOI: 10.1109/DySPAN.2017.7920789
A. Azarfar, Chun-Hao Liu, J. Frigon, B. Sansò, D. Cabric
Dynamic spectrum access (DSA) for secondary networks has the potential to improve spectrum utilization and thus mitigate the problem of spectrum scarcity by finding spectrum opportunities and exploiting them efficiently. A key factor in DSA networks with multiple channels and multiple users is to establish efficient spectrum sensing and transmission schedules. Multi-user cooperative spectrum sensing reduces the sensing time, thus increasing transmission throughput. At the same time, it may remove transmission opportunities for users participating in the sensing, thereby decreasing the throughput. Furthermore, in a multi-channel network, where the users experience different channel qualities, the problem of designing optimal sensing and transmission schedules becomes more complex. Sensing schedule indicates to each user the channel that it must sense at different sensing moments, and transmission schedules indicates which user should use a found opportunity. In this paper, we explore this problem and then investigate optimal ways to find a joint sensing and transmission schedule. We propose three joint sensing-transmission strategies. Within each one of them, several solutions striking a balance between throughput performance, memory usage, and computational complexity are proposed. Due to the complex nature of optimal solutions, we also propose different heuristics. Simulation results show that the proposed heuristics perform well and thus can be employed in practical scenarios.
{"title":"Joint transmission and cooperative spectrum sensing scheduling optimization in multi-channel dynamic spectrum access networks","authors":"A. Azarfar, Chun-Hao Liu, J. Frigon, B. Sansò, D. Cabric","doi":"10.1109/DySPAN.2017.7920789","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920789","url":null,"abstract":"Dynamic spectrum access (DSA) for secondary networks has the potential to improve spectrum utilization and thus mitigate the problem of spectrum scarcity by finding spectrum opportunities and exploiting them efficiently. A key factor in DSA networks with multiple channels and multiple users is to establish efficient spectrum sensing and transmission schedules. Multi-user cooperative spectrum sensing reduces the sensing time, thus increasing transmission throughput. At the same time, it may remove transmission opportunities for users participating in the sensing, thereby decreasing the throughput. Furthermore, in a multi-channel network, where the users experience different channel qualities, the problem of designing optimal sensing and transmission schedules becomes more complex. Sensing schedule indicates to each user the channel that it must sense at different sensing moments, and transmission schedules indicates which user should use a found opportunity. In this paper, we explore this problem and then investigate optimal ways to find a joint sensing and transmission schedule. We propose three joint sensing-transmission strategies. Within each one of them, several solutions striking a balance between throughput performance, memory usage, and computational complexity are proposed. Due to the complex nature of optimal solutions, we also propose different heuristics. Simulation results show that the proposed heuristics perform well and thus can be employed in practical scenarios.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"149 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":"117292148","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.2017.7920769
R. Bettancourt, J. Peha
We evaluate for the existing UHF U.S. TV stations two ways to increase the spectrum reuse to repack them in a smaller block without reducing the coverage or bandwidth of any TV station. One way is to increase the transmit power of each broadcaster's only transmitter by the same number of dB, and another more effective way is to replace that transmitter with a low-power low-tower (LPLT) Single Frequency Network (SFN). We use data on existing transmitter location, power and irregular-terrain elevation by using the FCC interference analysis software TVStudy 2.0. Results show that a significant amount of spectrum can be freed, and that looking only at the number of channels that can be freed nationwide misses a significant part of the benefit.
{"title":"Freeing TV spectrum with LPLT single frequency networks: Repacking irregularly distributed broadcasters","authors":"R. Bettancourt, J. Peha","doi":"10.1109/DySPAN.2017.7920769","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920769","url":null,"abstract":"We evaluate for the existing UHF U.S. TV stations two ways to increase the spectrum reuse to repack them in a smaller block without reducing the coverage or bandwidth of any TV station. One way is to increase the transmit power of each broadcaster's only transmitter by the same number of dB, and another more effective way is to replace that transmitter with a low-power low-tower (LPLT) Single Frequency Network (SFN). We use data on existing transmitter location, power and irregular-terrain elevation by using the FCC interference analysis software TVStudy 2.0. Results show that a significant amount of spectrum can be freed, and that looking only at the number of channels that can be freed nationwide misses a significant part of the benefit.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"11 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":"133958020","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.2017.7920778
A. Lackpour, Chase Hamilton, Marko Jacovic, I. Rasheed, Xaime Rivas Rey, K. Dandekar
This paper describes the design and simulated performance of a 5G-like spectrum sharing radio that uses both Non-Contiguous-Orthogonal Frequency Domain Modulated (NC-OFDM) waveform and an electrically Reconfigurable Alford Loop Antenna (RALA) to efficiently share spectrum with a co-channel IEEE 802.15.4, or ZigBee, radio link. We present a detailed performance analysis of Monte Carlo simulation trials of an indoor spectrum sharing scenario. A parametric statistical analysis shows that our new adaptive NC-OFDM subcarrier deactivation algorithm enables an enhanced NC-OFDM radio to share spectrum with a standard ZigBee commercial radio link at a short separation distance. The statistical improvement over the standalone and baseline case is presented.
{"title":"Enhanced 5G spectrum sharing using a new adaptive NC-OFDM waveform with reconfigurable antennas","authors":"A. Lackpour, Chase Hamilton, Marko Jacovic, I. Rasheed, Xaime Rivas Rey, K. Dandekar","doi":"10.1109/DySPAN.2017.7920778","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920778","url":null,"abstract":"This paper describes the design and simulated performance of a 5G-like spectrum sharing radio that uses both Non-Contiguous-Orthogonal Frequency Domain Modulated (NC-OFDM) waveform and an electrically Reconfigurable Alford Loop Antenna (RALA) to efficiently share spectrum with a co-channel IEEE 802.15.4, or ZigBee, radio link. We present a detailed performance analysis of Monte Carlo simulation trials of an indoor spectrum sharing scenario. A parametric statistical analysis shows that our new adaptive NC-OFDM subcarrier deactivation algorithm enables an enhanced NC-OFDM radio to share spectrum with a standard ZigBee commercial radio link at a short separation distance. The statistical improvement over the standalone and baseline case is presented.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"164 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":"115692758","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.2017.7920745
Nathan E. West, Kellen Harwell, B. McCall
A system capable of detecting and classifying narrowband signals transmitted over the air at radio frequency is described. The system is composed of two parts: (1) a signal detector and channelizer; (2) a radio-frequency modulation classifier. The signal detector uses an FFT for band edge detection. The channelizer uses the estimated bands and FFT vector to create a variable number of resampled time-domain streams (1 for each band detected) that are put in a queue for classification. The classifier is a deep neural network trained to classify the modulations expected. Overall system architecture consisting of a GNU Radio front-end, a message queue, and a Tensorflow-based neural network is explained along with individual algorithms and training of the modulation classifier.
{"title":"DFT signal detection and channelization with a deep neural network modulation classifier","authors":"Nathan E. West, Kellen Harwell, B. McCall","doi":"10.1109/DySPAN.2017.7920745","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920745","url":null,"abstract":"A system capable of detecting and classifying narrowband signals transmitted over the air at radio frequency is described. The system is composed of two parts: (1) a signal detector and channelizer; (2) a radio-frequency modulation classifier. The signal detector uses an FFT for band edge detection. The channelizer uses the estimated bands and FFT vector to create a variable number of resampled time-domain streams (1 for each band detected) that are put in a queue for classification. The classifier is a deep neural network trained to classify the modulations expected. Overall system architecture consisting of a GNU Radio front-end, a message queue, and a Tensorflow-based neural network is explained along with individual algorithms and training of the modulation classifier.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"9 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":"134583977","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.2017.7920758
Thao T. Nguyen, A. Sahoo, M. Souryal, Timothy A. Hall
Spectrum sharing in the 3.5 GHz band between commercial and government users along U.S. coastal areas depends on an Environmental Sensing Capability (ESC), a network of radio frequency sensors and a decision system, to detect the presence of incumbent shipborne radar systems and trigger protective measures, as needed. It is well known that the sensitivity of these sensors depends on the aggregate interference generated by commercial systems to the incumbent radar receivers, but to date no comprehensive study has been made of the aggregate interference in realistic scenarios and its impact on the requirement for detection of the radar signal. This paper presents systematic methods for determining the required sensitivity and placement of ESC sensors to adequately protect incumbent shipborne radar systems from harmful interference. Using terrain-based propagation models and a population-based deployment model, the analysis finds the offshore distances at which protection must be triggered and relates these to a minimum required signal detection level at coastline sensors. We further show that sensor placement is a form of the well-known set cover problem, which has been shown to be NP-complete, and demonstrate practical solutions achieved with a greedy algorithm. Results show required sensitivities to be 4 dB to 16 dB lower than required by current industry standards. The methodology and results presented in this paper can be used by ESC operators for planning and deployment of sensors and by regulators for testing sensor performance.
{"title":"3.5 GHz environmental sensing capability sensitivity requirements and deployment","authors":"Thao T. Nguyen, A. Sahoo, M. Souryal, Timothy A. Hall","doi":"10.1109/DySPAN.2017.7920758","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920758","url":null,"abstract":"Spectrum sharing in the 3.5 GHz band between commercial and government users along U.S. coastal areas depends on an Environmental Sensing Capability (ESC), a network of radio frequency sensors and a decision system, to detect the presence of incumbent shipborne radar systems and trigger protective measures, as needed. It is well known that the sensitivity of these sensors depends on the aggregate interference generated by commercial systems to the incumbent radar receivers, but to date no comprehensive study has been made of the aggregate interference in realistic scenarios and its impact on the requirement for detection of the radar signal. This paper presents systematic methods for determining the required sensitivity and placement of ESC sensors to adequately protect incumbent shipborne radar systems from harmful interference. Using terrain-based propagation models and a population-based deployment model, the analysis finds the offshore distances at which protection must be triggered and relates these to a minimum required signal detection level at coastline sensors. We further show that sensor placement is a form of the well-known set cover problem, which has been shown to be NP-complete, and demonstrate practical solutions achieved with a greedy algorithm. Results show required sensitivities to be 4 dB to 16 dB lower than required by current industry standards. The methodology and results presented in this paper can be used by ESC operators for planning and deployment of sensors and by regulators for testing sensor performance.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"3 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":"129439425","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.2017.7920785
A. Lackpour, S. Mason, Chase Hamilton, David Tigreros, M. Giovannucci, Matthew Marcou, Yuqiao Liu, Marko Jacovic, K. Dandekar
This paper describes our design and proof-of-concept implementation of the Secondary User-Enhanced Spectrum Sharing (SUESS) radio that dynamically observes, understands, learns, plans, and adapts its spectrum sharing behaviors in an operating band that is shared with a noncooperative Primary User (PU) radio link. The SUESS radio leverages awareness of the PU's performance to drive the selection and adaptation of three spectrum coexistence mechanisms that include the Electromagnetic (EM), Physical (PHY), and Medium Access Control (MAC) protocol layers. Our goal is to design and build a prototype of a software-defined cognitive radio that maximizes throughput of the SUESS radio link while minimizing performance impact to a PU link in a shared RF operating band at short separation distances.
{"title":"Design and implementation of the Secondary User-Enhanced Spectrum Sharing (SUESS) radio","authors":"A. Lackpour, S. Mason, Chase Hamilton, David Tigreros, M. Giovannucci, Matthew Marcou, Yuqiao Liu, Marko Jacovic, K. Dandekar","doi":"10.1109/DySPAN.2017.7920785","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920785","url":null,"abstract":"This paper describes our design and proof-of-concept implementation of the Secondary User-Enhanced Spectrum Sharing (SUESS) radio that dynamically observes, understands, learns, plans, and adapts its spectrum sharing behaviors in an operating band that is shared with a noncooperative Primary User (PU) radio link. The SUESS radio leverages awareness of the PU's performance to drive the selection and adaptation of three spectrum coexistence mechanisms that include the Electromagnetic (EM), Physical (PHY), and Medium Access Control (MAC) protocol layers. Our goal is to design and build a prototype of a software-defined cognitive radio that maximizes throughput of the SUESS radio link while minimizing performance impact to a PU link in a shared RF operating band at short separation distances.","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":"115289735","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.2017.7920746
Krishna Karra, Scott Kuzdeba, Josh Petersen
We outline the core components of a modulation recognition system that uses hierarchical deep neural networks to identify data type, modulation class and modulation order. Our system utilizes a flexible front-end detector that performs energy detection, channelization and multi-band reconstruction on wideband data to provide raw narrowband signal snapshots. We automatically extract features from these snapshots using convolutional neural network layers, which produce decision class estimates. Initial experimentation on a small synthetic radio frequency dataset indicates the viability of deep neural networks applied to the communications domain. We plan to demonstrate this system at the Battle of the Mod Recs Workshop at IEEE DySpan 2017.
{"title":"Modulation recognition using hierarchical deep neural networks","authors":"Krishna Karra, Scott Kuzdeba, Josh Petersen","doi":"10.1109/DySPAN.2017.7920746","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920746","url":null,"abstract":"We outline the core components of a modulation recognition system that uses hierarchical deep neural networks to identify data type, modulation class and modulation order. Our system utilizes a flexible front-end detector that performs energy detection, channelization and multi-band reconstruction on wideband data to provide raw narrowband signal snapshots. We automatically extract features from these snapshots using convolutional neural network layers, which produce decision class estimates. Initial experimentation on a small synthetic radio frequency dataset indicates the viability of deep neural networks applied to the communications domain. We plan to demonstrate this system at the Battle of the Mod Recs Workshop at IEEE DySpan 2017.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"61 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":"121670360","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.2017.7920782
Felix Wunsch, S. Koslowski, Sebastian Müller, Nicolas Cuervo, F. Jondral
In this proposal, we provide details on our approach for the design of a cognitive overlay system which is implemented on a heterogeneous Software Defined Radio (SDR) platform consisting of an off-the-shelf consumer laptop and a USRP X310. To ensure high flexibility, spectral efficiency and low out-of-band radiation, we chose Filter Bank Multicarrier (FBMC) as physical layer waveform. For the cognitive aspect we propose a hybrid solution based on learning of Primary User (PU) transmission parameters and behavioral patterns as well as continuous, low-delay channel monitoring. To achieve a low delay and to improve performance, we implement critical signal processing components on an FPGA. Detection thresholds are optimized by using feedback information on the PU error rate.
在本提案中，我们详细介绍了我们设计认知覆盖系统的方法，该系统在异构软件定义无线电(SDR)平台上实现，该平台由一台现成的消费者笔记本电脑和一台USRP X310组成。为了保证高灵活性、频谱效率和低带外辐射，我们选择了滤波器组多载波(Filter Bank multiccarrier, FBMC)作为物理层波形。在认知方面，我们提出了一种基于主用户(PU)传输参数和行为模式学习以及连续、低延迟信道监测的混合解决方案。为了实现低延迟和提高性能，我们在FPGA上实现了关键的信号处理组件。根据PU错误率的反馈信息，优化检测阈值。
{"title":"A cognitive overlay system based on FBMC","authors":"Felix Wunsch, S. Koslowski, Sebastian Müller, Nicolas Cuervo, F. Jondral","doi":"10.1109/DySPAN.2017.7920782","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920782","url":null,"abstract":"In this proposal, we provide details on our approach for the design of a cognitive overlay system which is implemented on a heterogeneous Software Defined Radio (SDR) platform consisting of an off-the-shelf consumer laptop and a USRP X310. To ensure high flexibility, spectral efficiency and low out-of-band radiation, we chose Filter Bank Multicarrier (FBMC) as physical layer waveform. For the cognitive aspect we propose a hybrid solution based on learning of Primary User (PU) transmission parameters and behavioral patterns as well as continuous, low-delay channel monitoring. To achieve a low delay and to improve performance, we implement critical signal processing components on an FPGA. Detection thresholds are optimized by using feedback information on the PU error rate.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"70 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":"131273305","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.2017.7920764
Nikolaus Kleber, Abbas Termos, Gonzalo J. Martínez, John Merritt, B. Hochwald, J. Chisum, A. Striegel, J. N. Laneman
We propose to demonstrate and obtain community feedback on the RadioHound system, a custom spectrum sensing network capable of tuning from 25 MHz to 6 GHz, which covers nearly all widely-deployed wireless activity. We describe the system hardware and network infrastructure in detail with a view towards driving the cost, size, and power usage of the sensors as low as possible.
{"title":"RadioHound: A pervasive sensing platform for sub-6 GHz dynamic spectrum monitoring","authors":"Nikolaus Kleber, Abbas Termos, Gonzalo J. Martínez, John Merritt, B. Hochwald, J. Chisum, A. Striegel, J. N. Laneman","doi":"10.1109/DySPAN.2017.7920764","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920764","url":null,"abstract":"We propose to demonstrate and obtain community feedback on the RadioHound system, a custom spectrum sensing network capable of tuning from 25 MHz to 6 GHz, which covers nearly all widely-deployed wireless activity. We describe the system hardware and network infrastructure in detail with a view towards driving the cost, size, and power usage of the sensors as low as possible.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"11 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":"121142098","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.2017.7920763
M. Palola, Vesa Hartikainen, Marko Mäkeläinen, Tero Kippola, Pekka Aho, Kalle Lähetkangas, L. Tudose, Arto Kivinen, Satua Joshi, Juhani Hallio
This paper presents the first end-to-end field trial of the U.S. three-tier Citizens Broadband Radio Service (CBRS) with carrier aggregation using commercial 3.5 GHz network elements in a live LTE-A test network. The trial features an assignment of a shared spectrum to an operational LTE base station and demonstrates how it boosts the end user mobile data rate due to extended bandwidth availability. The field trial is important as it shows that a spectrum access system can be implemented utilizing existing network systems and latest technologies. The field trial allows studying the operation of a real system and comparing the performance to the relevant FCC requirements and particularly those related to different response times between the LTE-A network and CBRS.
{"title":"The first end-to-end live trial of CBRS with carrier aggregation using 3.5 GHz LTE equipment","authors":"M. Palola, Vesa Hartikainen, Marko Mäkeläinen, Tero Kippola, Pekka Aho, Kalle Lähetkangas, L. Tudose, Arto Kivinen, Satua Joshi, Juhani Hallio","doi":"10.1109/DySPAN.2017.7920763","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920763","url":null,"abstract":"This paper presents the first end-to-end field trial of the U.S. three-tier Citizens Broadband Radio Service (CBRS) with carrier aggregation using commercial 3.5 GHz network elements in a live LTE-A test network. The trial features an assignment of a shared spectrum to an operational LTE base station and demonstrates how it boosts the end user mobile data rate due to extended bandwidth availability. The field trial is important as it shows that a spectrum access system can be implemented utilizing existing network systems and latest technologies. The field trial allows studying the operation of a real system and comparing the performance to the relevant FCC requirements and particularly those related to different response times between the LTE-A network and CBRS.","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":"130726128","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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