Browse > Article
http://dx.doi.org/10.6109/jkiice.2019.23.12.1650

Computational Analysis and Measurement for SDR-based Spectrum Sensing System Design on Single Board Computer  

Kim, Joon Young (Hyundai Motor Company)
Abstract
In recent years, IoT device and platform become widely popular and the computing performance and capabilities of IoT devices are also getting improved. However, the size and computing resources of IoT devices, especially small single board computer, are limited in a way that the design and implementation of the system should be carefully considered to operate on the devices. Recently, SDR technologies are adapting in IoT devices and can perform various radio systems. Thorough analysis and investigation of computer performances on small single board computer are necessary for its usage. In this paper, we present the results of computing resources measurement and analysis on small single-board computers. At first, we consider to design SDR based spectrum sensing for single board computer, investigate various key factors and propose a design procedure that can affect performance of the system with experiments.
Keywords
SDR; CPU; Processor; RPI; System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 BCM2835 - Raspberry Pi Documentation [Internet]. Available: https://www.raspberrypi.org/documentation/hardware/raspberrypi/bcm2835/README.md
2 BCM2836 - Raspberry Pi Documentation [Internet]. Available: https://www.raspberrypi.org/documentation/hardware/raspberrypi/bcm2836/README.md
3 BCM2837 - Raspberry Pi Documentation [Internet]. Available: https://www.raspberrypi.org/documentation/hardware/raspberrypi/bcm2837/README.md
4 RTL-SDR Blog V3 Datasheet [Internet]. Available: https://www.electrokit.com/uploads/productfile/41015/RTL-SDR-Blog-V3-Datasheet.pdf
5 H. T. Thien, R. Tendeng, H. Vu-Van, and I. Koo. "Implementation of Spectrum-Sensing for Cognitive Radio Using USRP with GNU Radio and a Cloud Server." Journal of information and communication convergence engineering, vol 16, no. 1, pp. 23-30, 2018   DOI
6 J. R. Machado-Fernandez, . "Software defined radio: Basic principles and applications.", Facultad de Ingenieria, vol. 24, no. 38, pp.79-96., 2015   DOI
7 F. Dahlqvist, M. Patel, A. Rajko, and J. Shulman, "Growing opportunities in the Internet of Things", McKinsey & Company, pp. 1-6, July 2019.
8 S. Y. Oh, "[IFA 2019] Samsung's 5G and LG's Artificial Intelligence Ahead of Europe's Largest Consumer Electronics Event" [Internet] Available: http://m.elec4.co.kr/article/articleView.asp?idx=24002
9 SmartThings Developer Documentation [Internet] Available: https://smartthings.developer.samsung.com
10 M. Mishra, A. Potnis, P. Dwivedy, S. K. Meena, "Software defined radio based receivers using RTLSDR: A review.", in 2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE). IEEE, 2017.
11 S. E. Barrak, A. Lyhyaoui, A Puilafito, S. Serrano, "Implementation of a low cost SDR-Based Spectrum sensing Prototype Using USRP and Rasbperry Pi Board." in Proceedings of Engineering and Technology-PET 20, pp. 54-58, 2017
12 E. G. Sierra, and G. A. R. Arroyave. "Low cost SDR spectrum analyzer and analog radio receiver using GNU radio, raspberry Pi2 and SDR-RTL dongle." in 2015 7th IEEE Latin-American Conference on Communications (LATINCOM). IEEE, 2015.
13 J. Y. Kim, , A. C. Marcum, A. D. Balmos, A. W. Layton, S. G. Larew, J. V. Krogmeier, and D. J. Love. "Implementation and analysis of energy detection-based sensing using USRP/SBX platform." In 2014 IEEE Military Communications Conference, pp. 1504-1509. IEEE, 2014.
14 S. Sabarinath, R. Shyam, C. Aneesh, R. Gandhraj, K. P. Soman, "Accelerated FFT computation for GNU radio using GPU of raspberry Pi." in Computational Intelligence in Data Mining-Volume 2., pp. 657-664, Springer, New Delhi, 2015.
15 H. J. Park, G. M. Lee, S. H. Shin, B. H. Roh, J. M. Oh, "Implementation of Multi-Hop Cognitive Radio Testbed using Raspberry Pi and USRP." International Journal of Interdisciplinary Telecommunications and Networking (IJITN), vol. 9, no. 4, pp. 37-48, 2017   DOI
16 S. Mohammed, K. A. Hatim, "Raspberry Pi and RTL-SDR for Spectrum Sensing based on FM Real Signals." in 2018 6th International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2018.
17 T. H. Cormen, C. E. Leiserson, R. L. Rivest, and Clifford Stein. Introduction to algorithms. MIT press, 2009
18 M. T. Heath, Scientific computing: an introductory survey. Vol. 80. SIAM, 2018.