DocumentCode
2147415
Title
Adaptive modulation with limited peak power for fading channels
Author
Choi, Won-Joon ; Cheong, Kok-Wui ; Cioffi, John M.
Author_Institution
Space, Telecommun. & Radiosci. Lab., Stanford Univ., CA, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
2568
Abstract
This paper investigates the problem of maximizing the spectral efficiency for adaptive modulated systems with a peak power constraint. The solutions for both the continuous constellation case and the discrete constellation case are derived by the Lagrangian method,and an iterative algorithm solving the Karush-Kuhn-Tucker (KKT) optimality conditions are proposed. Our simulation results show that the spectral efficiency loss due to the peak power constraint is small and the target bit error rate (BER) can be guaranteed by our algorithm. In particular, the spectral efficiency loss remains within 1 [bps/Hz] for the continuous constellation case and 2 [bps/Hz] for the discrete constellation case at average signal-to-noise ratio (SNR) of 20 dB
Keywords
Rayleigh channels; adaptive modulation; channel capacity; error statistics; iterative methods; noise; optimisation; quadrature amplitude modulation; BER; Karush-Kuhn-Tucker optimality conditions; Lagrangian method; QAM; Rayleigh fading; SNR; adaptive modulation; average signal-to-noise ratio; bit error rate; channel capacity; continuous constellation; discrete constellation; fading channels; high speed wireless digital communications; iterative algorithm; limited peak power; peak power constraint; simulation results; spectral efficiency loss; spectral efficiency maximisation; Bit error rate; Constellation diagram; Fading; Interference; Iterative algorithms; Laboratories; Power amplifiers; Power system modeling; Transmitters; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location
Tokyo
ISSN
1090-3038
Print_ISBN
0-7803-5718-3
Type
conf
DOI
10.1109/VETECS.2000.851737
Filename
851737
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