@article{e46c854b6ce14b5ea982c1b908772fdd,
title = "Noisy-interference sum-rate capacity of parallel Gaussian interference channels",
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 = "Capacity, Gaussian, interference, parallel channel",
author = "Xiaohu Shang and Biao Chen and Gerhard Kramer and Poor, {H. Vincent}",
note = "Funding Information: Manuscript received March 01, 2009; revised February 19, 2010; accepted May 25, 2010. Date of current version December 27, 2010. This work was presented (in part) at the IEEE Global Communications Conference, New Orleans, LA, Dec. 2008, and at the IEEE International Symposium on Information Theory, Seoul, South Korea, June 2009. This work was supported (in part) by the National Science Foundation under Grants CNS-09-05398, CCF-05-46491, CCF-09-05320, and CCF-09-05235, and AFRL under Agreement FA8750-05-2-0120.",
year = "2011",
month = jan,
doi = "10.1109/TIT.2010.2090226",
language = "English",
volume = "57",
pages = "210--226",
journal = "IEEE Transactions on Information Theory",
issn = "0018-9448",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",
}