Journal article
Impact of Mutual Coupling on Adaptive Switching Between MIMO Transmission Strategies and Antenna Configurations
Wireless personal communications, v 52(1), pp 69-87
01 Jan 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Adaptive switching between multiple-input multiple-output (MIMO) transmission strategies like diversity and spatial multiplexing is a flexible approach to respond to channel variations. It is desirable to obtain accurate estimates of the switching points between these transmission schemes to realize the capacity gains made possible by adaptive switching. In this paper, it is shown that the accuracy of switching point estimates for switching between statistical beamforming and spatial multiplexing is improved by taking into account the effects of mutual coupling between antenna array elements. The impact of mutual coupling on the ergodic capacities of these two transmission strategies is analyzed, by deriving expressions for the same. Adaptive switching between combinations of transmission strategies and antenna array configurations (using reconfigurable antenna arrays) is shown to produce maximum capacity gains. Expressions for the switching points between transmission strategies and/or antenna configurations, including mutual coupling effects, are derived and used to explore the influence of mutual coupling on the estimates. Finally, measurements taken from reconfigurable rectangular patch antenna arrays are used to validate the analytical results.
Metrics
Details
- Title
- Impact of Mutual Coupling on Adaptive Switching Between MIMO Transmission Strategies and Antenna Configurations
- Creators
- Ramya Bhagavatula - The University of Texas at AustinRobert W. Heath - The University of Texas at AustinAntonio Forenza - Rearden, LLC, San Francisco, USA 94107Nicholas J. Kirsch - Drexel UniversityKapil R. Dandekar - Drexel University
- Publication Details
- Wireless personal communications, v 52(1), pp 69-87
- Publisher
- Springer Nature
- Number of pages
- 19
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000272906500007
- Scopus ID
- 2-s2.0-73349116581
- Other Identifier
- 991019168405004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Telecommunications