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Content Provider | IEEE Xplore Digital Library |
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Author | Tizghadam, A. Shariat, A. Leon-Garcia, A. Naser, H. |
Copyright Year | 2013 |
Description | Author affiliation: Lakehead Univ., Thunder Bay, ON, Canada (Naser, H.) || Univ. of Toronto, Toronto, ON, Canada (Tizghadam, A.; Shariat, A.; Leon-Garcia, A.) |
Abstract | Due to the time-varying nature of wireless networks, it is required to find robust optimal methods to control the behavior and performance of such networks; however, this is a challenging task since robustness metrics and QoS-based (Quality of service) constraints in a wireless environment are typically highly non-linear and non-convex. This paper explores the possibility of using graph theoretic metrics to provide robustness in a wireless network at the presence of a set of QoS constraints. In particular, we are interested in robust planning of a wireless network for a given demand matrix while preserving end-to-end delay for input demands below a given threshold set. To this end, we show that the upper bound of end-to-end round trip time between two nodes of a network can be approximated by point-to-point network criticality (or resistance distance) of the network. We construct a convex optimization problem to provide a delay-guaranteed jointly optimal allocation of transmit powers and link flows. We show that the solution provides a robust behavior, i.e. it is insensitive to the environmental changes such as wireless link disruption, this is expected because network criticality is a robustness metric. Our framework can be applied to a wide range of SINR (Signal to Interference plus Noise Ratio) values. |
Starting Page | 169 |
Ending Page | 174 |
File Size | 568131 |
Page Count | 6 |
File Format | |
ISBN | 9781479900558 |
e-ISBN | 9781479900565 |
DOI | 10.1109/INFCOMW.2013.6562864 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-04-14 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wireless networks Interference Quality of service Robustness Delays Optimization |
Content Type | Text |
Resource Type | Article |
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