Title :
Capacity region and optimum power control strategies for fading Gaussian multiple access channels with common data
Author :
Liu, Nan ; Ulukus, Sennur
Author_Institution :
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD
Abstract :
A Gaussian multiple access channel (MAC) with common data is considered. Capacity region when there is no fading is known in an implicit form. We provide an explicit characterization of the capacity region and provide a simpler encoding/decoding scheme than that mentioned in work by Slepian and Wolf. Next, we give a characterization of the ergodic capacity region when there is fading, and both the transmitters and the receiver know the channel perfectly. Then, we characterize the optimum power allocation schemes that achieve arbitrary rate tuples on the boundary of the capacity region. Finally, we provide an iterative method for the numerical computation of the ergodic capacity region and the optimum power control strategies
Keywords :
Gaussian channels; channel capacity; decoding; encoding; fading channels; iterative methods; multi-access systems; telecommunication control; common data; encoding-decoding scheme; ergodic capacity region; fading Gaussian multiple access channels; iterative method; optimum power allocation scheme; optimum power control strategies; Communications Society; Decoding; Fading; Iterative methods; Power control; Power system modeling; Relays; Transmitters; Wireless communication; Wireless sensor networks; Capacity region; common data; correlated data; fading channels; multiple access channel (MAC); power control;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2006.881370