The optimum algorithm determining the maximum weighted sum-rate in MIMO MAC

Author

Hua, Zhou

Author_Institution

Beijing Univ. of Posts & Telecommun.

Volume

2

fYear

2005

fDate

11-14 Sept. 2005

Firstpage

1179

Abstract

The optimum iterative algorithm determining the maximum weighted rate sum in MIMO MAC (multiple access channel) is proposed. The new algorithm is based on matrix eigenvalue decomposition and waterfilling power allocation. Using the proposed algorithm, the capacity performance of MIMO in the uplink of a cellular network has been evaluated numerically. The result shows that the capacity gain of the optimal multi-user transmission at each timeslot over single user transmission at each timeslot increases with the increasing of receive antenna number, which demonstrates that the conventional single user transmission is distinctly inferior to multi-user transmission in multi-user MIMO systems

Keywords

MIMO systems; antenna arrays; cellular radio; eigenvalues and eigenfunctions; iterative methods; matrix decomposition; multi-access systems; multiuser channels; receiving antennas; MIMO MAC; capacity performance; cellular network; matrix eigenvalue decomposition; multiple access channel; multiple input multiple output; multiuser transmission system; optimum iterative algorithm; receiving antenna; waterfilling power allocation; Algorithm design and analysis; Channel state information; Covariance matrix; Eigenvalues and eigenfunctions; Fading; Iterative algorithms; Land mobile radio cellular systems; MIMO; Propagation losses; Receiving antennas; Multiple Access Channel (MAC); Multiple-Input Multiple-Output (MIMO); capacity region; eigenvalue decomposition; proportionally fair algorithm; waterfilling;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on

Conference_Location

Berlin

Print_ISBN

9.7838007291e+012

Type

conf

DOI

10.1109/PIMRC.2005.1651627

Filename

1651627