DocumentCode :
435238
Title :
Stochastic determination method of substream modulation levels for MIMO eigenbeam space division multiplexing
Author :
Takahashi, Satoshi ; Ahn, Chang-Jun ; Harada, Hiroshi ; Kamio, Yukiyoshi
Author_Institution :
Nat. Inst. of Inf. & Commun. Technol., Yokosuka, Japan
fYear :
2005
fDate :
23-25 Jan. 2005
Firstpage :
343
Lastpage :
347
Abstract :
Multiple-input multiple-output (MIMO) eigenbeam space division multiplexing is a promising configuration to improve the transmission capacity and it uses adaptive modulation for the substreams. The modulation levels determined from the carrier-to-noise ratios, however, are sometimes optimistic and the use of the modulation levels results in transmission errors and transmission performance degradation. A novel determination method of substream modulation levels is proposed to alleviate the degradation. The proposed method calculates the expected bit error rates for possible modulations by mean of the delay profile. The simulation results show that the proposed modulation level determination method improves the transmission capacity by 30% compared with the conventional method.
Keywords :
MIMO systems; adaptive modulation; delay estimation; digital radio; eigenvalues and eigenfunctions; error statistics; mobile radio; space division multiplexing; stochastic processes; MIMO system; adaptive modulation; delay profile; digital mobile communication systems; eigenbeam space division multiplexing; expected bit error rates; multiple-input multiple-output system; stochastic determination; substream modulation levels; transmission capacity; Binary phase shift keying; Bit error rate; Degradation; Delay estimation; MIMO; Quadrature phase shift keying; Receiving antennas; Space technology; Stochastic processes; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Wireless Communications, 2005. ICPWC 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-8964-6
Type :
conf
DOI :
10.1109/ICPWC.2005.1431363
Filename :
1431363
Link To Document :
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