Title :
Capacity and dirty paper coding for Gaussian broadcast channels with common information
Author :
Jindal, Nihar ; Goldsmith, Andrea
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
27 June-2 July 2004
Abstract :
We consider a set of parallel, two-user scalar Gaussian broadcast channels, where the transmitter wishes to send independent information to each of the receivers and common information to both receivers. The capacity region of this channel is implicitly characterized in [A. El Gamal, (1980)]. Here, we provide an explicit characterization of the power and rate allocation schemes that achieve the boundary of the three-dimensional rate region. We also propose a dirty-paper coding achievable region for MIMO broadcast channels with common information.
Keywords :
Gaussian channels; MIMO systems; broadcast channels; channel capacity; encoding; radio receivers; radio transmitters; MIMO Gaussian broadcast channel; capacity dirty paper coding; channel capacity region; channel receiver; channel transmitter; common information; power rate allocation scheme; Broadcasting; Decoding; Degradation; Information analysis; Lagrangian functions; MIMO; Transmitters;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365251