Title :
Sum-capacity computation for the Gaussian vector broadcast channel via dual decomposition
Author_Institution :
Edward S. Rogers, Univ. of Toronto, Ont.
Abstract :
A numerical algorithm for the computation of sum capacity for the Gaussian vector broadcast channel is proposed. The sum capacity computation relies on a duality between the Gaussian vector broadcast channel and the sum-power constrained Gaussian multiple-access channel. The numerical algorithm is based on a Lagrangian dual decomposition technique and it uses a modified iterative water-filling approach for the Gaussian multiple-access channel. The algorithm converges to the sum capacity globally and efficiently
Keywords :
Gaussian channels; antenna arrays; broadcast channels; channel capacity; constraint theory; convergence of numerical methods; iterative methods; multi-access systems; Gaussian vector broadcast channel; Lagrangian dual decomposition technique; modified iterative water-filling approach; multiple-access channel; multiple-antenna; numerical algorithm; sum-capacity computation; sum-power constraint; Additive noise; Additive white noise; Broadcasting; Degradation; Gaussian channels; Gaussian noise; Iterative algorithms; Iterative methods; Lagrangian functions; Transmitters; Broadcast channel; duality; multiple-access channel; multiple-antenna;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2005.862106