Full Text:
<3039>
CLC number: TN919.72
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 0
Clicked: 6165
Adaptive modulation MIMO system based on minimizing transmission power
| |||||||||||||
WANG Zhi-ying, HE Chen. Adaptive modulation MIMO system based on minimizing transmission power[J]. Journal of Zhejiang University Science A, 2006, 7(6): 1046-1050.
@article{title="Adaptive modulation MIMO system based on minimizing transmission power",
author="WANG Zhi-ying, HE Chen",
journal="Journal of Zhejiang University Science A",
volume="7",
number="6",
pages="1046-1050",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1046"
}
%0 Journal Article
%T Adaptive modulation MIMO system based on minimizing transmission power
%A WANG Zhi-ying
%A HE Chen
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 6
%P 1046-1050
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1046
TY - JOUR
T1 - Adaptive modulation MIMO system based on minimizing transmission power
A1 - WANG Zhi-ying
A1 - HE Chen
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 6
SP - 1046
EP - 1050
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A1046
Abstract: adaptive modulation (AM) is an effective technique to approach the theoretical bound of multi-input and multi-output (MIMO) channel. In most previous studies, the AM parameters were obtained by maximizing the transmission rate for a given total transmit power. In this paper, a novel AM-MIMO algorithm is presented, which is based on minimizing total transmit power when the link’s qoS requirements are given. By taking the qoS requirements into account directly, the proposed algorithm not only makes the system more flexible, but also makes the cross layer design of wireless network easier. At last, the numerical results of the proposed scheme are presented.
[1] Chen, X., Chai, C.C., Chew, Y.H., 2004. Constrained Power Allocation Algorithm for Rate Adaptive MIMO System. IEEE Eighth International Symposium on Spread Spectrum Techniques and Applications, p.924-928.
[2] Chow, P.S., Cioffi, J.M., Bingham, J.A.C., 1995. A practical discrete multitone transceiver loading algorithm for data transmission over spectrally shaped channels. IEEE Transactions on Communications, 43(2):773-775.
[3] Chung, S.T., Goldsmith, A.J., 2001. Degrees of freedom in adaptive modulation: a unified view. IEEE Transactions on Communications, 49(9):1561-1571.
[4] Fletcher, R., 1987. Practical Methods of Optimization. Wiley-Interscience, New York, p.222-230 (in Chinese).
[5] June, C.R., Rao, B.D., 2002. Adaptive Modulation for Multiple Antenna chancnels. Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 1:526-530.
[6] Zhou, S.L., Giannakis, G.B., 2004a. How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? IEEE Transactions on Wireless Communications, 3(4):1285-1294.
[7] Zhou, S.L., Giannakis, G.B., 2004b. Adaptive modulation for multiantenna transmissions with channel mean feedback. IEEE Transactions on Wireless Communications, 3(5):1626-1636.
[8] Zhou, Z.D., Vucetic, B., 2004a. MIMO Systems with Adaptive Modulation. IEEE 59th Vehicular Technology Conference, 2:765-769.
[9] Zhou, Z.D., Vucetic, B., 2004b. Design of adaptive modulation using imperfect CSI in MIMO systems. Electronics Letters, 40(17):1073-1075.
Open peer comments: Debate/Discuss/Question/Opinion
<1>