Optimization
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Capacity of multi-channel wireless networks: impact of number of channels and interfaces
Proceedings of the 11th annual international conference on Mobile computing and networking
Proceedings of the 11th annual international conference on Mobile computing and networking
Characterizing the capacity region in multi-radio multi-channel wireless mesh networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Cross-layer optimization for UWB-based ad hoc networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
The capacity of wireless networks
IEEE Transactions on Information Theory
Synthetic aperture radar construction of spectrum map for cognitive radio networking
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Media Independent Handover-based Competitive On-Line CAC for Seamless Mobile Wireless Networks
Wireless Personal Communications: An International Journal
Compressed sensing construction of spectrum map for routing in cognitive radio networks
Wireless Communications & Mobile Computing
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Cognitive radio network (CRN) is a promising approach to improve spectrum efficiency for wireless networking. This paper investigates how to perform optimal power control on each node (or per-node based power control) in the network so as to optimize network performance. Per-node based power control is a difficult problem due to its large design space (i.e., interaction among the powers on different nodes in the network) and the coupling relationship between power control and upper layers (scheduling and routing). In this paper, we develop a formal mathematical model for joint power control, scheduling, and routing. We formulate a cross-layer optimization problem encompassing these three layers and develop a unified solution procedure based on branch-and-bound framework and convex hull relaxation. Using numerical results, we demonstrate the efficacy of the solution procedure and offer insights on the behavior of per-node based power control.