DocumentCode :
2164631
Title :
Channel power allocation factors computing in MIMO wireless networks with improved water pouring algorithm
Author :
Zaharov, Viktor ; Kettani, Houssain
Author_Institution :
Dept. of Electr. & Comput. Eng. & Comput. Sci., Polytech. Univ. of Puerto Rico, San Juan, PR, USA
Volume :
4
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
8
Lastpage :
12
Abstract :
In this paper we consider MIMO system with Mt transmitting and Mr receiving antennas, when channel state information (CSI) is known on the transmitter side. In this case, the optimum multiple antenna transmission consists of allocating the transmitted power for each virtual sub-channel related to the corresponding eigenvalue of the propagation channel matrix. The optimum power allocation is computed using the water pouring algorithm (WPA). However, on-line implementation of the algorithm requires serious computational work, which is O(Mt 2). We propose a modification to WPA that reduces the computational complexity to O(Mt).
Keywords :
MIMO communication; channel allocation; radiocommunication; receiving antennas; transmitting antennas; MIMO wireless networks; channel power allocation factors; channel state information; computational complexity; improved water pouring algorithm; multiple antenna transmission; receiving antennas; transmitting antennas; virtual subchannel; Antennas and propagation; Channel state information; Computational complexity; Computer networks; Eigenvalues and eigenfunctions; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Wireless networks; Channel state information; MIMO; array signal processing; computational complexity; transmitted powerallocation; water pouring algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451795
Filename :
5451795
Link To Document :
بازگشت