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Enhanced 5G cognitive radio networks based on spectrum sharing and spectrum aggregation

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Zhang, Wensheng, Wang, Cheng-Xiang, Ge, Xiaohu and Chen, Yunfei (2018) Enhanced 5G cognitive radio networks based on spectrum sharing and spectrum aggregation. IEEE Transactions on Communications, 66 (12). pp. 6304-6316. doi:10.1109/TCOMM.2018.2863385

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Official URL: https://doi.org/10.1109/TCOMM.2018.2863385

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Abstract

In this paper, the new enhanced cognitive radio networks (E-CRNs) based on spectrum sharing (SS) and spectrum aggregation (SA) are proposed for the fifth generation (5G) wireless networks. The E-CRNs jointly exploit the licensed spectrum shared with the primary user (PU) networks and the unlicensed spectrum aggregated from the industrial, scientific, and medical (ISM) bands. The PU networks include TV systems in TV white space (TVWS) and different incumbent systems in the long term evolution (LTE) time division duplexing (TDD) bands. The harmful interference from the E- CRNs to the PU networks are delicately controlled. Furthermore, the coexistence between the E-CRNs and other unlicensed systems, such as WiFi, is studied. The E-CRNs framework including dynamic spectrum management (DSM) is designed for the key parameters of licensed SS and unlicensed SA. The essential tradeoff between sharing efficiency (ShE) and aggregation efficiency (AgE) for the E- CRNs is discussed. Based on this tradeoff, a spectrum lean-management (SLM) scheme is proposed to fulfill the DSM. Moreover, a water-filling (WF) algorithm is designed to dynamically access the available spectrum. Numerical results demonstrate that the proposed E-CRNs can significantly improve the system.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Cognitive radio networks, Wireless communication systems
Journal or Publication Title: IEEE Transactions on Communications
Publisher: IEEE
ISSN: 0090-6778
Official Date: 1 December 2018
Dates:
DateEvent
28 July 2018Accepted
6 August 2018Available
1 December 2018Published
Date of first compliant deposit: 31 July 2018
Volume: 66
Number: 12
Page Range: pp. 6304-6316
DOI: 10.1109/TCOMM.2018.2863385
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
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