Antijamming Schemes for Interference-Alignment-Based Wireless Networks
Interference alignment (IA) is a promising technique for interference management in wireless networks. On the other hand, jamming is a potential threat to wireless communications, which can degrade the performance of IA-based networks severely. Although some excellent work has been done on IA and antijamming, these two important aspects have traditionally been addressed separately in most previous work. In this paper, the authors study the antijamming issues and propose two antijamming schemes for IA-based networks. In the first scheme, the jamming signal and interferences are aligned into the same subspace at each receiver, and thus, can be perfectly eliminated together. When the requirement of perfect alignment can be relaxed, the second scheme is proposed to further improve the antijamming performance by maximizing the received signal-to-interference-plus-noise ratio (SINR). The authors derive the proper and feasibility conditions of the proposed two schemes. Simulation results are presented to show the effectiveness of the proposed schemes in mitigating jamming signals in IA-based wireless networks.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2017, IEEE.
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Authors:
- Zhao, Nan
- Guo, Jing
- Yu, F Richard
- Li, Ming
- Leung, Victor C M
- Publication Date: 2017-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1271-1283
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 66
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Radio receivers; Signal to noise ratio; Transmission errors and interference; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways;
Filing Info
- Accession Number: 01629589
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 21 2017 9:14AM