Title :
The optimum algorithm determining the maximum weighted sum-rate in MIMO MAC
Author_Institution :
Beijing Univ. of Posts & Telecommun.
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;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on
Conference_Location :
Berlin
Print_ISBN :
9.7838007291e+012
DOI :
10.1109/PIMRC.2005.1651627
