Effects of Real Instrument on Performance of an Energy Detection-Based Spectrum Sensing Method

被引:17
|
作者
Capriglione, Domenico [1 ]
Cerro, Gianni [2 ]
Ferrigno, Luigi [2 ]
Miele, Gianfranco [2 ]
机构
[1] Univ Salerno, Dept Ind Engn, I-84084 Fisciano, Italy
[2] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, I-03043 Cassino, Italy
关键词
Analog-to-digital conversion; cognitive radio (CR); frequency-domain analysis; measurement; software radio; COGNITIVE RADIO; DISCRIMINANT-ANALYSIS; ALGORITHM;
D O I
10.1109/TIM.2019.2905944
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In cognitive radio (CR) networks, the role of spectrum sensing (SS) is crucial to enable an efficient exploitation of the radio spectrum resource. The need to measure spectrum occupancy turns CRs to be de facto measurement instruments, so it becomes crucial to analyze how real instrumentation peculiarities could affect performance in spectral measurements (i.e., SS performance). In this paper, a commercial software-defined radio (SDR) is adopted as cognitive device, and its capability to accurately measure occupied spectrum is analyzed in comparison also with a simulation setup, where the same analog-to-digital converter (ADC) is modeled and simulated, and equivalent signal-to-noise ratios (SNRs) are replicated. To this aim, a suitable experimental setup has been designed, metrologically characterized, and tuned. Experimental results prove how nominal SNR typically adopted for testing the performance of SS methods is not sufficient to model the impairments of a real acquisition chain, even jointly with a modeling of the digitization process. To assure a reliable SS method validation, new approaches have to be considered for enhancing the accordance between the performance predicted in the simulation environment and the experimental one reachable on real devices. Since different architectures of CRs are present on the market, the experimental tests should be preferred for a reliable SS performance assessment.
引用
收藏
页码:1302 / 1312
页数:11
相关论文
共 50 条
  • [21] On the Double Threshold Energy Detection-Based Spectrum Sensing over κ-μ Fading Channel with Noise Uncertainty and Diversity
    Ribas, Annita de Oliveira Petrocchi
    Dias, Ugo Silva
    2015 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE (IMOC), 2015,
  • [22] Real time performance evaluation of energy detection based spectrum sensing algorithm using WARP board
    1600, Institute of Electrical and Electronics Engineers Inc., United States
  • [23] Real Time Performance Evaluation of Energy Detection Based Spectrum Sensing Algorithm Using WARP Board
    Yerranna, H.
    Sabat, Samrat L.
    Sunil, D. K.
    Udgata, Siba K.
    2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2016, : 2719 - 2723
  • [24] A Study on High-Efficiency Energy Detection-Based Spectrum Measurements
    Iwata, Hiroki
    Umebayashi, Kenta
    Al-Tahmeesschi, Ahmed
    Joshi, Satya
    Lopez-Benitez, Miguel
    Lehtomaki, Janne J.
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW), 2020,
  • [25] A Low-Cost Modified Energy Detection-Based Spectrum Sensing Algorithm with GNU Radio for Cognitive Radio
    Baker, Delores
    Beal, Aubrey N.
    Joiner, Laurie
    Syed, Tamseel M.
    SOUTHEASTCON 2023, 2023, : 833 - 837
  • [26] Neighbor Detection-Based Spectrum Sensing Algorithm in Distributed Cognitive Radio Networks
    PEI Qingqi
    LI Hongning
    LIU Xianjun
    Chinese Journal of Electronics, 2017, 26 (02) : 399 - 406
  • [27] Neighbor Detection-Based Spectrum Sensing Algorithm in Distributed Cognitive Radio Networks
    Pei Qingqi
    Li Hongning
    Liu Xianjun
    CHINESE JOURNAL OF ELECTRONICS, 2017, 26 (02) : 399 - 406
  • [28] Study on energy detection-based cooperative sensing in cognitive radio networks
    Mokhtar, Rania
    Saeed, Rashid
    Alsaqour, Raed
    Abdallah, Yahia
    Journal of Networks, 2013, 8 (06) : 1255 - 1261
  • [29] Anomaly Detection-based Spectrum Sensing using the k-Nearest Neighbors Algorithm
    Lopez-Lopez, Lizeth
    Andrade, Angel G.
    Galaviz, Guillermo
    2022 IEEE MEXICAN INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE (ENC), 2022,
  • [30] Belief Propagation and Quickest Detection-Based Cooperative Spectrum Sensing in Heterogeneous and Dynamic Environments
    Wang, Yifan
    Li, Husheng
    Qian, Lijun
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2017, 16 (11) : 7446 - 7459