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Báo cáo hóa học: " Research Article On the Effect of Self-Interference Cancelation in MultiHop Wireless Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article On the Effect of Self-Interference Cancelation in MultiHop Wireless Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 513952 10 pages doi 10.1155 2010 513952 Research Article On the Effect of Self-Interference Cancelation in MultiHop Wireless Networks Pradeep Chathuranga Weeraddana 1 Marian Codreanu 1 Matti Latva-aho 1 and Anthony Ephremides2 1 Centre for Wireless Communications University of Oulu P.O. Box 4500 90014 Oulu Finland 2 University of Maryland College Park MD 20742 USA Correspondence should be addressed to Pradeep Chathuranga Weeraddana chathu@ee.oulu.fi Received 11 July 2010 Revised 29 September 2010 Accepted 20 October 2010 Academic Editor Fabrizio Granelli Copyright 2010 Pradeep Chathuranga Weeraddana et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. In a wireless network the problem of self-interference arises when a node transmits and receives simultaneously in the same frequency band. So far only two extreme approaches to circumvent this problem were thoroughly investigated in the literature. The first one prevents any node to transmit and receive simultaneously which may lead to a too conservative design. The second one assumes perfect self-interference cancelation which can be too optimistic since it ignores all possible technological limitations. To fill this gap we provide a method based on complementary geometric programming for evaluating the gains achievable at the network layer when the network nodes employ self-interference cancelation techniques with different degrees of accuracy. The gains are evaluated in terms of average sum rate and average network congestion by using a network utility maximization framework. The method provides insights into the behavior of different network topologies when self-interference cancellation is employed in nodes. In addition it can be used to .