Title :
Transmit power optimization for Gaussian vector broadcast channels
Author :
Oh, Jisung ; Kim, Seung-Jean ; Narasimhan, Ravi ; Cioffi, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
This paper proposes a transmit power optimization algorithm for a Gaussian vector broadcast channel. The optimal power allocation minimizes the sum trace of input covariance matrices of all the users in the Gaussian vector broadcast channel. By duality the transmit power optimization can be transformed into an equivalent convex optimization in a multiple access channel. Recursive equations are derived as sufficient conditions for the minimum transmit power and an iterative algorithm is proposed to solve the equations. Numerical examples show that the iterative algorithm converges very fast and efficiently determines the input covariance matrices for the optimum power allocation.
Keywords :
Gaussian channels; broadcast channels; convex programming; covariance matrices; iterative methods; multi-access systems; radiocommunication; Gaussian vector broadcast channels; Recursive equations; covariance matrices; equivalent convex optimization; iterative algorithm; multiple access channel; optimal power allocation; transmit power optimization algorithm; Base stations; Broadcasting; Covariance matrix; Downlink; Equations; Iterative algorithms; Minimization methods; OFDM; Quality of service; Sufficient conditions;
Conference_Titel :
Communications, 2005. ICC 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-8938-7
DOI :
10.1109/ICC.2005.1494841