Title :
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
Author :
Jindal, N. ; Jafar, S. ; Vishwanath, S. ; Goldsmith, A.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
We consider the problem of maximizing sum rate on a multiple-antenna downlink in which the base station and receivers have multiple-antennas. The optimum scheme for this system was recently found to be "dirty paper coding". Obtaining the optimal transmission policies of the users when employing this dirty paper coding scheme is a computationally complex nonconvex problem. We use a "duality" to transform this problem into a convex multiple access problem, and then obtain a simple and fast iterative algorithm that gives us the optimum transmission policies.
Keywords :
Gaussian channels; broadcast channels; cellular radio; channel coding; iterative methods; optimisation; radio receivers; Gaussian broadcast channels; base station; convex multiple access problem; dirty paper coding; duality; multiple-antenna downlink; optimal transmission policies; receivers; sum power iterative water-filling; sum rate maximization; Algorithm design and analysis; Base stations; Broadcasting; Downlink; Iterative algorithms; MIMO; Power system modeling;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197032
