DocumentCode
2210037
Title
Throughput optimization in multi-user MIMO-OFDM systems
Author
Haleem, Mohamed A. ; Huneiti, Zayed ; Nair, Siddharth ; Al-Ghadhban, Samir
Author_Institution
Electr. Eng. Dept., Univ. of Hail, Hail, Saudi Arabia
fYear
2012
fDate
18-20 March 2012
Firstpage
1
Lastpage
6
Abstract
MIMO and OFDM are two PHY layer techniques in present day broadband wireless communication systems providing increased data rates and multiple access capability. As applied to cellular communication systems, these techniques should be adopted to a Multi-User environment where the performance depends on sophisticated algorithms to allocate antennas (eigen channels), subcarriers, and power to users such that to minimize mutual interference. This can be achieved with precoding where either capacity optimization solution (waterfilling) or Sum Mean Square Error (SMSE) minimization is used. This paper presents hierarchical precoding algorithms where the two approaches are used simultaneously. Criteria for selecting one of the two processes for each eigen channel and OFDM subcarriers are formulated. The performance is evaluated by simulation using system and propagation models as per IEEE802.16 Evaluation Methodology Document.
Keywords
IEEE standards; MIMO communication; OFDM modulation; cellular radio; channel capacity; mean square error methods; multi-access systems; telecommunication standards; IEEE802.16 evaluation methodology document; MIMO; OFDM subcarriers; PHY layer techniques; SMSE; antennas; broadband wireless communication systems; capacity optimization solution; cellular communication systems; eigen channels; multi-user systems; sum mean square error minimization; waterfilling; MIMO; Minimization; OFDM; Quadrature amplitude modulation; Resource management; Signal to noise ratio; Throughput; 4G; MIMO; OFDM; SMSE; broadband; percoding; waterfilling; wireless;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information Technology (IIT), 2012 International Conference on
Conference_Location
Abu Dhabi
Print_ISBN
978-1-4673-1100-7
Type
conf
DOI
10.1109/INNOVATIONS.2012.6207731
Filename
6207731
Link To Document