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Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
An approach for beamforming with reduced complexity in MIMO cooperative cognitive radio networks (MIMO-CCRN) is presented.
Specifically, a suboptimal approach with reduced complexity is proposed to jointly determine the transmit beamforming (TB) and cooperative beamforming (CB) weight vectors along with antenna subset selection in MIMO-CCRN.
Two multiantenna secondary users (SU) constitute the desired link, one acting as transmitter (SU TX) and the other as receiver (SU RX) and they coexist with single-antenna primary and secondary users.
Some of single antenna secondary users are recruited by desired link as cooperative relay.
The maximization of the achievable rates in the desired link is the objective of this work, provided to interference constraints on the primary users are not violated.
The objective is achieved by exploiting transmit beamforming at SU TX, cooperation of some secondary users, and cooperative beamforming.
Meanwhile, the costs associated with RF chains at the radio front end at SU RX are reduced.
Through simulations, it is shown that better performance in the desired link is attained, as a result of cooperation of SUs.
American Psychological Association (APA)
Ghamari Adian, Mehdi. 2014. Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks. Journal of Optimization،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042680
Modern Language Association (MLA)
Ghamari Adian, Mehdi. Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks. Journal of Optimization No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1042680
American Medical Association (AMA)
Ghamari Adian, Mehdi. Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks. Journal of Optimization. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042680
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042680