Learning-Based Optimal Channel Selection in the Presence of Jammer for Cognitive Radio Networks

Aohan Li, Fereidoun H. Panahi, Tomoaki Ohtsuki, Guangjie Han

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Cognitive Radio (CR) technique has been proposed for improving spectrum efficiency by dynamic spectrum access. In Cognitive Radio Networks (CRNs), unlicensed Secondary Users (SUs) with CR can utilize licensed spectrum without interfering licensed Primary Users (PUs). For effectively avoiding interference with licensed PUs and malicious attacks from jammers, a two-stage Learning-based Optimal Channel Selection (LOCS) algorithm for unlicensed SUs in distributed heterogeneous CRNs is proposed in this paper. The LOCS algorithm enables SUs to obtain real states of the licensed channels without knowing their information. Hence, SUs using LOCS algorithm can efficiently avoid collision and attack with PUs and jammers. Besides, the LOCS algorithm considers hardware limitation of the SUs, i.e., SUs can only sense and access parts of the license spectrum during any given time. SUs can select the optimal channels for spectrum sensing and data transmission by using the LOCS algorithm. Simulation results show the efficiency of our proposed algorithm in terms of collision and attack avoidance.

本文言語English
ホスト出版物のタイトル2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538647271
DOI
出版ステータスPublished - 2019 2 20
イベント2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
継続期間: 2018 12 92018 12 13

出版物シリーズ

名前2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
国/地域United Arab Emirates
CityAbu Dhabi
Period18/12/918/12/13

ASJC Scopus subject areas

  • 情報システムおよび情報管理
  • 再生可能エネルギー、持続可能性、環境
  • 安全性、リスク、信頼性、品質管理
  • 信号処理
  • モデリングとシミュレーション
  • 器械工学
  • コンピュータ ネットワークおよび通信

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