Blind Localization of Primary Users with Sectorial Antennas

Li, Z, Magowe, K, Giorgetti, A and Sithamparanathan, K 2018, 'Blind Localization of Primary Users with Sectorial Antennas', in Proceedings of the IEEE International Conference on Communications Workshops (ICC Workshops 2018), Kansas City, Missouri, United States, 20-24 May 2018, pp. 1133-1138.


Document type: Conference Paper
Collection: Conference Papers

Title Blind Localization of Primary Users with Sectorial Antennas
Author(s) Li, Z
Magowe, K
Giorgetti, A
Sithamparanathan, K
Year 2018
Conference name IEEE ICC 2018
Conference location Kansas City, Missouri, United States
Conference dates 20-24 May 2018
Proceedings title Proceedings of the IEEE International Conference on Communications Workshops (ICC Workshops 2018)
Publisher IEEE
Place of publication United States
Start page 1133
End page 1138
Total pages 6
Abstract It is essential to estimate the position of primary users (PUs) for the further development of cognitive radio (CR) networks. Great efforts have been done to seek for localization algorithms with high performance but low computation. In a CR network, PUs do not cooperate with secondary users (SUs), which makes localization challenging. Due to this feature, received signal strength (RSS)- based localization techniques, such as weighted centroid localization (WCL) can be one of the best candidates. However, most of the existing works in this area did not consider the directionality of the antennas. In this paper, we propose a blind localization algorithm using the signal strength received by different sectors of the SU antenna. Then a scoring strategy is applied to all the sectors to estimate the PU location. Two scoring strategies are proposed. Numerical results show that the proposed sectorial antenna technique is robust to PU locations and channel conditions. Compared with WCL, it offers a great improvement in the performance.
Subjects Electrical and Electronic Engineering not elsewhere classified
Wireless Communications
DOI - identifier 10.1109/ICCW.2018.8403677
Copyright notice Copyright © 2018 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
ISBN 9781538643297
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