DocumentCode :
1410790
Title :
Noisy-Interference Sum-Rate Capacity of Parallel Gaussian Interference Channels
Author :
Shang, Xiaohu ; Chen, Biao ; Kramer, Gerhard ; Poor, H. Vincent
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
Volume :
57
Issue :
1
fYear :
2011
Firstpage :
210
Lastpage :
226
Abstract :
The sum-rate capacity of the parallel Gaussian interference channel is shown to be achieved by independent transmission across subchannels and treating interference as noise if the channel coefficients and power constraints satisfy a certain condition. The condition requires the interference to be weak, a situation commonly encountered, e.g., in digital subscriber line transmission. The optimal power allocation is characterized by using the concavity of the sum-rate capacity as a function of the power constraints.
Keywords :
Gaussian channels; channel allocation; channel capacity; interference suppression; Gaussian interference channels; channel coefficients; noisy interference; optimal power allocation; parallel channels; power constraints; sum-rate capacity; Covariance matrix; DSL; Interference; Noise; Noise measurement; Optimization; Resource management; Capacity; Gaussian; interference; parallel channel;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2090226
Filename :
5673959
Link To Document :
بازگشت