DocumentCode :
1748399
Title :
Optimal power allocation scheme on generalized layered space-time coding systems
Author :
Jason, Leung Hang Ching ; Tao, Meixia ; Cheng, Roger S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Volume :
6
fYear :
2001
fDate :
2001
Firstpage :
1706
Abstract :
We consider a generalized layered space-time (GLST) architecture with parallel space-time (ST) codes and derive an optimal power allocation (PA) scheme over the space-time encoders to minimize the overall frame error rate. We prove that the optimal power allocation scheme will equate the derivatives of the frame error rate functions of all the ST codes. From simulation, we show that the derived optimal power allocation has a 1-2 dB gain over the equal power scheme. Also, the proposed scheme has a better performance than the power allocation scheme proposed by Tarokh, Naguib, Seshadri and Calderbank (see IEEE Trans. Inform. Theory, vol.45, no.4, p.1121-28, 1999). Since various power allocation schemes have the same receiver structure, the gain can be achieved simply using the optimized parameters with no increase in complexity
Keywords :
decoding; diversity reception; encoding; error statistics; interference suppression; optimisation; radio receivers; radiofrequency interference; antenna diversity; decoding; frame error rate minimisation; generalized layered space-time architecture; generalized layered space-time coding systems; group interference cancellation; group interference suppression; optimal power allocation; optimized parameters; parallel space-time codes; receiver structure; simulation; space-time encoders; transmit antennas; Detectors; Error analysis; Gain; Maximum likelihood decoding; Maximum likelihood detection; Power engineering and energy; Quadrature phase shift keying; Receiving antennas; Space technology; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
Type :
conf
DOI :
10.1109/ICC.2001.937085
Filename :
937085
Link To Document :
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