Cognitive radio oriented wireless ne...
International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (2018 :)

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  • Cognitive radio oriented wireless networks = 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18-20, 2018 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Cognitive radio oriented wireless networks/ edited by Ingrid Moerman ... [et al.].
    其他題名: 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18-20, 2018 : proceedings /
    其他題名: CROWNCOM 2018
    其他作者: Moerman, Ingrid.
    團體作者: International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications
    出版者: Cham :Springer International Publishing : : 2019.,
    面頁冊數: xii, 223 p. :ill. (some col.), digital ;24 cm.
    內容註: Experimental analysis of 5 GHz WiFi and UHF-TVWS hybrid Wireless Mesh Network back-haul links -- High-level and Compact Design of Cross-channel LTE DownLink Channel Encoder -- Detection of Different Wireless Protocols on an FPGA with the Same Analog/RF Front End -- Demonstration of Shared Spectrum Access of Different User Groups -- A Low-Latency Wireless Network for Cloud-Based Robot Control -- Comparison of incumbent user privacy preserving technologies in database driven dynamic spectrum access systems -- Spectrum Leasing for Micro-Operators Using Blockchain Networks -- SZ-SAS: A Framework for Preserving Incumbent User -- Privacy in SAS-based DSA Systems -- Secrecy Outage Probability of Cognitive Small-Cell Network with Unreliable Backhaul Connections -- Polarization-Space Based Interference Alignment for Cognitive Heterogeneous Cellular Network -- The vision of 5G and the need for change in mobile spectrum access -- Coexistence of LTE Networks Under LSA Paradigm in 2.6 GHz -- Pricing Private LTE and 5G Radio Licenses on 3.5 GHz -- LSA System Development with Sensing for Rapidly Deployable LTE Network -- Maxmin Strategy for a Dual Radar and Communication -- OFDM Waveforms System facing Uncertainty about the Background Noise -- Using Deep Learning and Radio Virtualisation for Efficient Spectrum Sharing among Coexisting Networks -- PHY and Sensing -- Evaluating Deep Neural Networks to classify Modulated and Coded Radio Signals -- Improving Spectrum Efficiency in Heterogeneous Networks using Granular Identification -- Interference Rejection Combining for Black-Space Cognitive Radio Communications -- An Image Processing Approach to Wideband Spectrum Sensing of Heterogeneous Signals.
    Contained By: Springer eBooks
    標題: Cognitive radio networks - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-05490-8
    ISBN: 9783030054908
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