DocumentCode :
1634520
Title :
On constant gaps for the two-way Gaussian interference channel
Author :
Zhiyu Cheng ; Devroye, Natasha
Author_Institution :
Univ. of Illinois at Chicago, Chicago, IL, USA
fYear :
2012
Firstpage :
1783
Lastpage :
1789
Abstract :
We introduce the two-way Gaussian interference channel in which there are four nodes with four independent messages: two-messages to be transmitted over a Gaussian interference channel in the → direction, simultaneously with two-messages to be transmitted over an interference channel (in-band, full-duplex) in the ← direction. In such a two-way network, all nodes are transmitters and receivers of messages, allowing them to adapt current channel inputs to previously received channel outputs. We propose two new outer bounds on the symmetric sum-rate for the two-way Gaussian interference channel with complex channel gains: one under full adaptation (all 4 nodes are permitted to adapt inputs to previous outputs), and one under partial adaptation (only 2 nodes are permitted to adapt, the other 2 are restricted). We show that simple non-adaptive schemes such as the Han and Kobayashi scheme, where inputs are functions of messages only and not past outputs, utilized in each direction are sufficient to achieve within a constant gap of these fully or partially adaptive outer bounds for all channel regimes.
Keywords :
Gaussian channels; radio receivers; radio transmitters; radiofrequency interference; wireless channels; Han-Kobayashi scheme; full-duplex interference channel; in-band interference channel; receiver; symmetric sum-rate; transmitter; two-messages transmission; two-way Gaussian interference channel network; Adaptation models; Channel models; Integrated circuits; Interference channels; Receivers; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4673-4537-8
Type :
conf
DOI :
10.1109/Allerton.2012.6483438
Filename :
6483438
Link To Document :
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