Title :
Minimax duality of Gaussian vector broadcast channels
Author :
Yu, Wei ; Lan, Tian
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Canada
fDate :
27 June-2 July 2004
Abstract :
This paper establishes a connection between the uplink-downlink duality of the Gaussian vector multiple-access channel and broadcast channel and the Lagrangian duality in minimax optimization. This new minimax duality allows the optimal transmit covariance matrix and the least-favorable noise for the broadcast channel to be characterized in terms of the dual variables. Further, it allows uplink-downlink duality to be generalized to broadcast channels with arbitrary linear constraints. In particular, it shows that the dual of a broadcast channel with individual per-antenna power constraint is a multiple-access channel with a diagonal uncertain noise.
Keywords :
Gaussian channels; broadcast channels; covariance matrices; duality (mathematics); minimax techniques; multi-access systems; telecommunication links; Gaussian vector broadcast channel; Lagrangian duality; arbitrary linear constraint; minimax duality; minimax optimization; multiple-access channel; optimal transmit covariance matrix; power constraint; uplink-downlink duality; Broadcasting; Channel capacity; Constraint optimization; Constraint theory; Covariance matrix; Gaussian noise; Lagrangian functions; Minimax techniques; Vectors;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365212