DocumentCode
1942778
Title
Traffic-tracing gateway (TTG)
Author
Liu, Haiping ; Qiu, Xiaoling ; Ghosal, Dipak ; Chuah, Chen-Nee ; Liu, Xin ; Fan, Yueyue
Author_Institution
Univ. of California, Davis, CA, USA
fYear
2011
fDate
10-15 April 2011
Firstpage
2534
Lastpage
2542
Abstract
Traffic density in wireless networks is time- and space-varying as users move from one area to another. For example, the majority of traffic stays in residential areas in the early morning and late evening; but moves to business or commercial areas in daytime. Therefore, it is challenging to efficiently locate base stations during network planning stage, due to the time-varying traffic distribution. Base stations vary from highly congested to seldom utilized depending on time. However, measurement studies show that the movement of the traffic density is highly predictable, and the traffic always travel along similar routes among different parts in a city or town during one day or over a week. Therefore, we introduce the traffic-tracing gateway (TTG), which acts as the base station that tracks the movement of the traffic. Given the traffic distribution of a period, we design an algorithm to determine the optimal trajectories of TTGs that can cover the maximum traffic. Our solution framework can optimally deploy TTGs in the congested areas to provide better coverage and relieve congestion. Our simulation studies based on realistic user mobility show that TTGs can result in significant improvement over fixed infrastructure based network across multiple metrics in multiple scenarios.
Keywords
telecommunication network planning; telecommunication traffic; wireless mesh networks; traffic density; traffic-tracing gateway; user mobility; wireless networks; Base stations; Dynamic programming; Indexes; Optimization; Trajectory; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2011 Proceedings IEEE
Conference_Location
Shanghai
ISSN
0743-166X
Print_ISBN
978-1-4244-9919-9
Type
conf
DOI
10.1109/INFCOM.2011.5935078
Filename
5935078
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