MMSE-Based Filter Designs for Cognitive Multiuser Two-Way Relay Networks
This paper considers cognitive multiuser two-way relay networks (MU-TRNs) where multiple secondary users (SUs) concurrently exchange their data with other SUs with an aid of a two-way relay in licensed primary networks. In this paper, the authors particularly focus on linear relay filter designs that effectively minimize the mean square error of SUs while providing a certain level of quality of service for the primary network. To this end, they first propose an iterative algorithm that identifies a solution based on an alternating optimization technique. Then, a closed-form relay filter design is presented, which employs a high signal-to-noise ratio approximation to reduce the computational complexity. Through the simulation results, the authors confirm that the proposed closed-form relay filter design outperforms conventional approaches and provides the performance close to the proposed iterative algorithm with much reduced complexity.
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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:
- Abstract reprinted with permission of IEEE.
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Authors:
- Park, Hyungchai
- Song, C
- Lee, Hyun Woo
- Lee, I
- Publication Date: 2015-4
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 1638-1643
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 64
- Issue Number: 4
- 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: Algorithms; Data communications; Electrical relays; Networks; Quality of service; Signal to noise ratio
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment; I90: Vehicles;
Filing Info
- Accession Number: 01564548
- Record Type: Publication
- Files: TRIS
- Created Date: May 26 2015 4:12PM