A USRP-Based Multi-Antenna Testbed for Reception of Multi-Site Cellular Signals

Izydorczyk, Tomasz; Tavares, Fernando M. L.; Berardinelli, Gilberto; Mogensen, Preben

doi:10.1109/access.2019.2952094

Cited by 9 publications

(8 citation statements)

References 27 publications

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“…In this section, the measurement testbed is presented followed by the description of the measurement campaigns. Since both were already thoroughly described in [43], this section focuses 1.5×1.5 m 2 ground plane Fig. 1: Measurement system schematic [43].…”

Section: Measurement Methodologymentioning

confidence: 99%

“…Since both were already thoroughly described in [43], this section focuses 1.5×1.5 m 2 ground plane Fig. 1: Measurement system schematic [43]. 16 antennas composed a UCA, and 1 antenna was located in the center of the UCA for calibration purpose.…”

Section: Measurement Methodologymentioning

confidence: 99%

“…To compromise between the limited hardware performance of data transmission rate from USRPs to PXI and a longer data-length expected, we succeeded to record the real-time downlink signals using a complex sampling rate of 40 MHz, and the time-length of each snapshot was 100 ms covering 10 radio frames. More details about the hardware limitations can be found in[43].…”

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confidence: 99%

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Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

Cai

Izydorczyk²,

Rodríguez-Piñeiro

et al. 2021

IEEE J. Select. Areas Commun.

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Cellular-connected unmanned aerial vehicles (UAVs) have recently attracted a surge of interest in both academia and industry. Understanding the air-to-ground (A2G) propagation channels is essential to enable reliable and/or highthroughput communications for UAVs and protect the ground user equipments (UEs). In this contribution, a recently conducted measurement campaign for the A2G channels is introduced. A uniform circular array (UCA) with 16 antenna elements was employed to collect the downlink signals of two different Long Term Evolution (LTE) networks, at the heights of 0-40 m in three different, namely rural, urban and industrial scenarios. The channel impulse responses (CIRs) have been extracted from the received data, and the spatial, including angular, parameters of the multipath components in individual channels were estimated according to a high-resolution-parameter-estimation (HRPE) principle. Based on the HRPE results, clusters of multipath components were further identified. Finally, comprehensive spatial channel characteristics were investigated in the composite and cluster levels at different heights in the three scenarios.Index terms-UAV, cellular networks, air-to-ground, spatial channels, angular characteristics, and clusters. I. INTRODUCTIONRecently, unmanned aerial vehicles (UAVs) have been shifting their use from purely military operations to a more generalpurpose scope with rapidly increasing popularity, due to the continuous reduction of cost, size, weight and consumption. A huge market is foreseen with many new civilian and commercial applications such as forest monitoring, goods delivery or search and rescue in hostile environments [1]-[3].Temporary network access provided by UAVs as movable aerial base stations (BSs) in emergency situations or saturated communication environments has become a key scenario addressed for

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Section: Measurement Methodologymentioning

confidence: 99%

Section: Measurement Methodologymentioning

confidence: 99%

mentioning

confidence: 99%

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Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

Cai

Izydorczyk²,

Rodríguez-Piñeiro

et al. 2021

IEEE J. Select. Areas Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this section, the measurement testbed is presented followed by the description of the measurement campaigns. Since both were already thoroughly described in [35], this section focuses only on the main aspects that are important to understand the performed studies.…”

Section: Measurement Methodologymentioning

confidence: 99%

Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

Cai,

Izydorczyk,

Rodríguez-Piñeiro

et al. 2020

Preprint

Self Cite

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Cellular-connected unmanned aerial vehicles (UAVs) have recently attracted a surge of interests in both academia and industry. Understanding the air-to-ground (A2G) propagation channels is essential to enable reliable and/or highthroughput communications for UAVs and protect the ground user equipments (UEs). In this contribution, a recently conducted measurement campaign for the A2G channels is introduced. A uniform circular array (UCA) with 16 antenna elements was employed to collect the downlink signals of two different Long Term Evolution (LTE) networks, at the heights of 0-40 m in three different, namely rural, urban and industrial scenarios. The channel impulse responses (CIRs) have been extracted from the received data, and the spatial/angular parameters of the multipath components in individual channels were estimated according to a high-resolution-parameter-estimation (HRPE) principle. Based on the HRPE results, clusters of multipath components were further identified. Finally, comprehensive spatial channel characteristics were investigated in the composite and cluster levels at different heights in the three scenarios.Index terms-UAV, cellular networks, spatial channels, angular characteristics, and clusters. I. INTRODUCTIONRecently, unmanned aerial vehicles (UAVs) have been shifting their use from purely military operations to a more generalpurpose scope with rapidly increasing popularity, due to the continuous reduction of cost, size, weight and consumption. A huge market is foreseen with many new civilian and commercial applications such as forest monitoring, goods delivery or search and rescue in hostile environments [1]- [3]. Temporary This work has been submitted to the IEEE (J-SAC) for possible publication.

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“…2. A real communication scenario is simulated by using the software radio system composed of LabVIEW and NI USRP (National Instruments Universal Software Radio Peripheral) software and hardware platform, to collect real I/Q signal data [24]; one-dimensional convolutional neural networks (1D-CNN) is used at the receiver to pretrain a classifier [25] for the receiver having certain discrimination ability;…”

Section: Introductionmentioning

confidence: 99%

GAN-based Technology of Generating Spoofing-jamming I/Q Signal

Xu¹,

Xu²,

Huang³

et al. 2022

Journal of Compurters

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<p>The existing wireless communication interference methods rely heavily on the characteristics of the target signals obtained in communication reconnaissance, require complex prior knowledge, and have problems in keeping up with the dynamic changes of relevant parameters. This paper proposes a GAN-based tech-nology of generating spoofing-jamming I/Q signals. The jammer will be able to deceive and interfere with op-ponents through GAN by generating spoofing-jamming I/Q signals highly correlated to real I/Q signals without prior knowledge. This paper first introduces the principle of GAN and the GAN model to be adopted; uses a software radio system composed of LabView and NI USRP software and hardware plat-forms to simulate real communication scenarios to collect real I/Q signal data; generates spoofing-jamming I/Q signals through GAN model; uses t-SNE algorithm to perform dimensionality reduction on both the real and the spoofing-jamming I/Q signal data to visualize their distributions; finally, tests the spoofing-jamming I/Q signals on receiver’s pre-trained classifier. The experimental results show that GAN provides an effective method for generating high-quality spoofing-jamming I/Q signals.</p> <p> </p>

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A USRP-Based Multi-Antenna Testbed for Reception of Multi-Site Cellular Signals

Cited by 9 publications

References 27 publications

Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity

GAN-based Technology of Generating Spoofing-jamming I/Q Signal

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