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An Effective Scheme of Building Electromagnetic Map for Spectrum Sensing

Lin, Dongming, Wang, Hongjun, Lin, Zhi, An, Kang, Shen, Zhexian, Wang, Jiangzhou (2022) An Effective Scheme of Building Electromagnetic Map for Spectrum Sensing. Wireless Communications and Mobile Computing, 2022 . pp. 1-10. ISSN 1530-8677. (doi:10.1155/2022/2906739) (KAR id:96014)


To address the severe spectrum scarcity problem and achieve efficient green communications, we propose a new and practical scheme to obtain electromagnetic data (ED) and a composite electromagnetic map reconstruction method (CEMRM). The scheme uses a small number of sensing nodes to obtain incomplete sampled ED, then uses CEMRM to reconstruct complete ED according to the incomplete ED and builds realistic electromagnetic maps (EMs) in various propagation scenarios. Specifically, we firstly adopt kriging (KG) method to obtain the geography-based ED (GED) according to geographical correlation of the locations of the sampled ED. Meanwhile, a novel algorithm, named filtered subdistrict sparsity adaptive matching pursuit (FSSAMP), is proposed to obtain the pure ED (PED) according to electromagnetic correlation of the sampled ED. Then, weight factors are mapped into the above two types of data and the fast gradient projection (FGP) method is employed to obtain the highly accurate combined ED (CED). Based on the CED, the accurate and practical EMs can be drawn. Simulation results demonstrate that the proposed scheme can provide more accurate ED and EMs than existing benchmark schemes in various propagation scenarios, and the built EMs can provide accurate information for the assessment of spectrum resources utilization to make spectrum resources efficiently used.

Item Type: Article
DOI/Identification number: 10.1155/2022/2906739
Additional information: ** From Crossref journal articles via Jisc Publications Router ** History: ppub 25-07-2022; issued 25-07-2022.
Uncontrolled keywords: Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: National Natural Science Foundation of China (
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 08 Aug 2022 08:27 UTC
Last Modified: 04 Mar 2024 17:26 UTC
Resource URI: (The current URI for this page, for reference purposes)

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