Title :
Capacity for MIMO Gaussian interference channels with generally strong and noisy interference
Author :
Shang, Xiaohu ; Poor, H. Vincent
Abstract :
There exist vector Gaussian interference channels that may not satisfy the strong interference condition but for which the capacity can still be achieved by jointly decoding the signal and the interference. This kind of interference is called generally strong interference. Sufficient conditions for a vector Gaussian interference channel to have generally strong interference are derived. The sum-rate capacity and the boundary points of the capacity region are also determined. Furthermore, new sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize all the existing results. Some boundary points on the capacity region of a vector Z interference channel under noisy interference are also determined to be achieved by treating interference as noise.
Keywords :
Gaussian channels; MIMO communication; channel capacity; channel coding; decoding; interference (signal); MIMO Gaussian interference channels; boundary points; capacity region; channel capacity; decoding; noisy interference; sum rate capacity; vector Gaussian interference channels; vector Z interference channel; Integrated circuits; Interference channels; MIMO; Noise; Noise measurement; Vectors;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284030