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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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WRAP-enhanced-5G-cognitive-radio-networks-based-spectrum-sharing-spectrum-aggregation-Chen-2018.pdf - Accepted Version - Requires a PDF viewer. Download (1002Kb) | Preview |
Official URL: https://doi.org/10.1109/TCOMM.2018.2863385
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: |
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| 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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