DocumentCode :
1786028
Title :
A novel suboptimal SDMA grouping algorithm for multiuser MIMO-OFDMA systems
Author :
Majidzadeh, Mohammad ; Eslami, Mohammad
Author_Institution :
Dept. of Electr. & Electron. Eng., Shiraz Univ. of Technol., Shiraz, Iran
fYear :
2014
fDate :
20-22 May 2014
Firstpage :
1805
Lastpage :
1810
Abstract :
Wireless communication systems based on multiple input-multiple output (MIMO) in combination with orthogonal frequency division multiple access (OFDMA) and space division multiple access (SDMA) are flexible, spectrally efficient and of high capacity. These systems can allocate frequency, time, and space resources adaptively among mobile stations (MSs). In order to perform an effective resource allocation (RA), MSs must be organized into groups containig MSs with best average sum rate. Since frequency and time resources could be designed orthogonal, the problem of grouping remains only for the space resource. Complexity of the grouping algorithm is also an issue, especially when the number of MSs is high. In this paper, a novel suboptimal grouping algorithm is proposed. A new metric is also introduced to measure the efficiency of a RA strategy.
Keywords :
MIMO communication; OFDM modulation; computational complexity; frequency allocation; frequency division multiple access; mobile computing; multiuser channels; resource allocation; space division multiple access; frequency allocation; mobile stations; multiple input-multiple output; multiuser MIMO-OFDMA systems; orthogonal frequency division multiple access; space division multiple access; space resource allocation; suboptimal SDMA grouping algorithm; time allocation; wireless communication systems; Complexity theory; Interference; Measurement; Multiaccess communication; OFDM; Resource management; Vectors; Grouping algorithm; MIMO; OFDMA; Resource allocation; SDMA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/IranianCEE.2014.6999832
Filename :
6999832
Link To Document :
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