TY - JOUR
T1 - A unifying approach to interference modeling for wireless networks
AU - Boche, Holger
AU - Schubert, Martin
N1 - Funding Information:
Manuscript received May 08, 2009; accepted December 21, 2009. Date of publication March 18, 2010; date of current version May 14, 2010. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Amir Leshem. This work was supported in part by the Bundesministerium für Bildung und Forschung (BMBF) by Grant 01SF0708 (project TEROPP).
PY - 2010/6
Y1 - 2010/6
N2 - The paper addresses the problem of interference modeling for wireless networks. Two axiomatic approaches are known from the literature: 1) "standard interference functions" proposed by Yates in 1995, and 2) general interference functions proposed by the authors in their previous work. In this paper, both frameworks are thoroughly analyzed and compared. It is shown that every function from framework 1) can be expressed in terms of framework 2). This means that recent structure results for convex interference functions, which were derived for 2), can also be applied to 1). The results provide a bridge between the frameworks 1) and 2), which were studied separately in the literature. Also, new structure results are shown in this paper. For the example of QoS balancing, it is shown that analyzing the structure of interference functions can lead to interesting algorithmic opportunities. The results are potentially useful for the development of physical-layer aware resource allocation algorithms.
AB - The paper addresses the problem of interference modeling for wireless networks. Two axiomatic approaches are known from the literature: 1) "standard interference functions" proposed by Yates in 1995, and 2) general interference functions proposed by the authors in their previous work. In this paper, both frameworks are thoroughly analyzed and compared. It is shown that every function from framework 1) can be expressed in terms of framework 2). This means that recent structure results for convex interference functions, which were derived for 2), can also be applied to 1). The results provide a bridge between the frameworks 1) and 2), which were studied separately in the literature. Also, new structure results are shown in this paper. For the example of QoS balancing, it is shown that analyzing the structure of interference functions can lead to interesting algorithmic opportunities. The results are potentially useful for the development of physical-layer aware resource allocation algorithms.
KW - Interference
KW - Power control
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=77952577402&partnerID=8YFLogxK
U2 - 10.1109/TSP.2010.2045415
DO - 10.1109/TSP.2010.2045415
M3 - Article
AN - SCOPUS:77952577402
SN - 1053-587X
VL - 58
SP - 3282
EP - 3297
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 6
M1 - 5433046
ER -