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An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
Joint Authors
Zhao, Lulu
Liang, Guang
Liu, Huijie
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Abstract EN
This paper investigates the robust relay beamforming design for the multiantenna nonregenerative cognitive relay networks (CRNs).
Firstly, it is proved that the optimal beamforming matrix could be simplified as the product of a variable vector and the conjugate transposition of a known channel response vector.
Then, by exploiting the optimal beamforming matrix with simplified structure, an improved robust beamforming design is proposed.
Analysis and simulation results show that, compared with the existing suboptimal scheme, the proposed method can achieve higher worst-case channel capacity with lower computational complexity.
American Psychological Association (APA)
Zhao, Lulu& Liang, Guang& Liu, Huijie. 2017. An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1188982
Modern Language Association (MLA)
Zhao, Lulu…[et al.]. An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks. Mobile Information Systems No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1188982
American Medical Association (AMA)
Zhao, Lulu& Liang, Guang& Liu, Huijie. An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1188982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188982