NDLI: An Analysis of Low Complexity Algorithms for MIMO Antenna Selection

Content Provider	IEEE Xplore Digital Library
Author	Smith, P.J. King, T.W. Garth, L.M. Dohler, M.
Copyright Year	2006
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand Email: twk20@elec.canterbury.ac.nz (King, T.W.) \|\| Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand Email: p.smith@elec.canterbury.ac.nz (Smith, P.J.) \|\| Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand. Email: l.garth@elec.canterbury.ac.nz (Garth, L.M.) \|\| France Télécom R&D, 28 Chemin du Vieux Chêne, 38243 Meylan Cedex, France Email: mischa.dohler@francetelecom.com (Dohler, M.)
Abstract	In this paper we consider transmit and receive selection methods designed to achieve high channel capacities in a single-user MIMO link. A variety of radio channels are considered, including i.i.d. Rayleigh, correlated Rayleigh and Ricean fading environments. Also considered is the presence of imperfect channel state information (CSI) and a simplified waterfilling scheme. In all cases, we evaluate the performance of optimal selection, simple norm based selection and other benchmark selection techniques. The major contribution is a general approach to analyzing the capacity of the selection schemes via a simple power scaling factor. We are able to assess the impact of different channels, imperfect CSI and power allocation using this power scaling factor. Furthermore, the analysis is valid for all scenarios: transmit selection, receive selection and joint transmit-receive selection. Results are shown which compare the capacity performance over a wide range of cases. A notable conclusion is that optimal selection, which is computationally intensive, is outperformed at low SNR by the simple, norm based approach with power allocation.
Starting Page	1380
Ending Page	1385
File Size	162298
Page Count	6
File Format	PDF
ISBN	1424403553
ISSN	81649547
DOI	10.1109/ICC.2006.254941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-11
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis MIMO Channel capacity Receiving antennas Transmitting antennas Channel state information Hardware Radio frequency Statistical analysis Transmitters
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A new antenna selection algorithm with low complexity for MIMO wireless systems

A Combined Antenna Selection Algorithm in MIMO Systems

An Efficient Antenna Selection Algorithm for MIMO Systems

Performance of Antenna Selection Algorithm Based Cost Function for MIMO System

Performance analysis and code design for differential antenna selection systems

Fast antenna subset selection in wireless MIMO systems

Joint transmit and receive antenna selection using a probabilistic distribution learning algorithm in MIMO systems

Fast algorithms for antenna selection in MIMO systems

Fast Antenna Subset Selection for MIMO Wireless Systems

An Analysis of Low Complexity Algorithms for MIMO Antenna Selection

Similar Documents

A new antenna selection algorithm with low complexity for MIMO wireless systems

A Combined Antenna Selection Algorithm in MIMO Systems

An Efficient Antenna Selection Algorithm for MIMO Systems

Performance of Antenna Selection Algorithm Based Cost Function for MIMO System

Performance analysis and code design for differential antenna selection systems

Fast antenna subset selection in wireless MIMO systems

Joint transmit and receive antenna selection using a probabilistic distribution learning algorithm in MIMO systems

Fast algorithms for antenna selection in MIMO systems

Fast Antenna Subset Selection for MIMO Wireless Systems

An Analysis of Low Complexity Algorithms for MIMO Antenna Selection