DocumentCode :
1628022
Title :
On the Maximum Weighted Sum-Rate of MIMO Gaussian Broadcast Channels
Author :
Liu, Jia ; Hou, Y. Thomas ; Sherali, Hanif D.
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
fYear :
2008
Firstpage :
3664
Lastpage :
3668
Abstract :
In this paper, we investigate the maximum weighted sum-rate problem (MWSR) of MIMO Gaussian broadcast channels (MIMO-BC). We propose an efficient algorithm that employs conjugate gradient projections (CGP) to solve the MWSR problem. The proposed CGP offers provable convergence. By deflecting gradient direction to its Hessian conjugate, CGP enjoys a superlinear convergence rate. Also, CGP has a modest memory requirement. It only needs the solution information from the previous step. More importantly, CGP is able to solve the MWSR problem with arbitrary number of antennas on both sides of a MIMO-BC.
Keywords :
Gaussian channels; MIMO communication; broadcast channels; conjugate gradient methods; Hessian conjugate gradient projection; MIMO Gaussian broadcast channel; MWSR problem; maximum weighted sum-rate problem; Algorithm design and analysis; Broadcasting; Communications Society; Convergence; Covariance matrix; Downlink; Iterative algorithms; Lagrangian functions; MIMO; Receiving antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.689
Filename :
4533725
Link To Document :
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