Abstract
An orthogonal components relay channel subject to structured interference is studied. Modeling interference as a structured signal is accurate for scenarios in which the interferer is another source communicating with its own destination. It is assumed that interference is known non-causally at the source and the relay is used for both forwarding the source message and for cooperative interference mitigation. Several transmission strategies based on partial decode-and-forward relaying and leveraging the interference structure are proposed. Achievable rates are derived for discrete memoryless models and Gaussian channels. Finally, numerical results suggest several advantages of utilizing the interference structure at the source, relay or destination in the scenarios at hand.
| Original language | English (US) |
|---|---|
| Title of host publication | 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 |
| DOIs | |
| State | Published - 2012 |
| Event | 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 - Princeton, NJ, United States Duration: Mar 21 2012 → Mar 23 2012 |
Other
| Other | 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 |
|---|---|
| Country | United States |
| City | Princeton, NJ |
| Period | 3/21/12 → 3/23/12 |
ASJC Scopus subject areas
- Information Systems
Cite this
Relaying under structured interference. / Bakanoglu, Kagan; Erkip, Elza; Simeone, Osvaldo; Shamai, Shlomo.
2012 46th Annual Conference on Information Sciences and Systems, CISS 2012. 2012. 6310713.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Relaying under structured interference
AU - Bakanoglu, Kagan
AU - Erkip, Elza
AU - Simeone, Osvaldo
AU - Shamai, Shlomo
PY - 2012
Y1 - 2012
N2 - An orthogonal components relay channel subject to structured interference is studied. Modeling interference as a structured signal is accurate for scenarios in which the interferer is another source communicating with its own destination. It is assumed that interference is known non-causally at the source and the relay is used for both forwarding the source message and for cooperative interference mitigation. Several transmission strategies based on partial decode-and-forward relaying and leveraging the interference structure are proposed. Achievable rates are derived for discrete memoryless models and Gaussian channels. Finally, numerical results suggest several advantages of utilizing the interference structure at the source, relay or destination in the scenarios at hand.
AB - An orthogonal components relay channel subject to structured interference is studied. Modeling interference as a structured signal is accurate for scenarios in which the interferer is another source communicating with its own destination. It is assumed that interference is known non-causally at the source and the relay is used for both forwarding the source message and for cooperative interference mitigation. Several transmission strategies based on partial decode-and-forward relaying and leveraging the interference structure are proposed. Achievable rates are derived for discrete memoryless models and Gaussian channels. Finally, numerical results suggest several advantages of utilizing the interference structure at the source, relay or destination in the scenarios at hand.
UR - http://www.scopus.com/inward/record.url?scp=84868580403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868580403&partnerID=8YFLogxK
U2 - 10.1109/CISS.2012.6310713
DO - 10.1109/CISS.2012.6310713
M3 - Conference contribution
AN - SCOPUS:84868580403
SN - 9781467331401
BT - 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
ER -