DocumentCode :
63735
Title :
On the Optimality of Treating Interference as Noise: General Message Sets
Author :
Chunhua Geng ; Hua Sun ; Jafar, Syed Ali
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Irvine, Irvine, CA, USA
Volume :
61
Issue :
7
fYear :
2015
fDate :
Jul-15
Firstpage :
3722
Lastpage :
3736
Abstract :
In a K-user Gaussian interference channel, it has been shown that if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user (all values in decibel scale), then treating interference as noise (TIN) is optimal from the perspective of generalized degrees of freedom (GDoF) and achieves the entire channel capacity region to within a constant gap. In this paper, we show that for such TINoptimal interference channels, even if the message set is expanded to include an independent message from each transmitter to each receiver, operating the new channel as the original interference channel and treating interference as noise is still optimal for the sum capacity up to a constant gap. Furthermore, we extend the result to the sum-GDoF optimality of TIN in the general setting of X channels with arbitrary numbers of transmitters and receivers.
Keywords :
Gaussian channels; Gaussian noise; channel capacity; radio receivers; radio transmitters; radiofrequency interference; wireless channels; K-user Gaussian interference channel; TIN; channel capacity; generalized degree of freedom; receiver; signal strength; sum-GDoF optimality; transmitter; treating interference as noise; wireless network; Channel capacity; Interference channels; Noise; Receivers; Tin; Transmitters; $X$ channels; Gaussian networks; X channels; generalized degrees of freedom (GDoF); sum capacity; treating interference as noise (TIN);
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2015.2432751
Filename :
7106540
Link To Document :
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