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This book focuses on the characteristics of the wireless ATM networks based on multi-carrier code division multiple access (MC-CDMA) technique. MC-CDMA technique can use several pseudorandom noise codes (PN codes) to transmit in the same period to obtain higher throughput and support different traffic streams. Handoff management is an important issue in wireless ATM mobile communication systems. With soft handoff, a conditional decision is made on when to hand off, which depends on the changes in pilot signal strength from the two or more base stations involved. The main aimed of this thesis is to study on soft handoff management, which resolves two significant problems, hot-spot cell and resource management, to decrease handoff call dropping probability. We propose a complete traffic shedding algorithm (CTSA) for soft handoff efficiently to alleviate the overloaded traffic in a hot-spot cell by adjusting handoff parameters, which virtually reduces the service coverage of the heavy loaded BS without adjusting the transmission power. In addition, in resource management, we propose a dynamic resource allocation scheme (DRAS) to improve performance.
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Study on Soft Handoff Management Using MC-CDMA in Wireless ATM Networks
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the characteristics of the wireless ATM networks based on multi-carrier code division multiple access (MC-CDMA) technique. MC-CDMA technique can use several pseudorandom noise codes (PN codes) to transmit in the same period to obtain higher throughput and support different traffic streams. Handoff management is an important issue in wireless ATM mobile communication systems. With soft handoff, a conditional decision is made on when to hand off, which depends on the changes in pilot signal strength from the two or more base stations involved. The main aimed of this thesis is to study on soft handoff management, which resolves two significant problems, hot-spot cell and resource management, to decrease handoff call dropping probability. We propose a complete traffic shedding algorithm (CTSA) for soft handoff efficiently to alleviate the overloaded traffic in a hot-spot cell by adjusting handoff parameters, which virtually reduces the service coverage of the heavy loaded BS without adjusting the transmission power. In addition, in resource management, we propose a dynamic resource allocation scheme (DRAS) to improve performance. 100 pp. Englisch. Codice articolo 9783639829280
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Study on Soft Handoff Management Using MC-CDMA in Wireless ATM Networks
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Study on Soft Handoff Management Using MC-CDMA in Wireless ATM Networks
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnHsin-Pei Chen received his M.S. and Ph.D. degrees in electrical engineeringfrom NTUST, Taiwan, 1999, and 2005, respectively. He currently is an assistant professor at the Department of CSIE, UCH, Jung-Li. His research inte. Codice articolo 510517317
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Study on Soft Handoff Management Using MC-CDMA in Wireless ATM Networks
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on the characteristics of the wireless ATM networks based on multi-carrier code division multiple access (MC-CDMA) technique. MC-CDMA technique can use several pseudorandom noise codes (PN codes) to transmit in the same period to obtain higher throughput and support different traffic streams. Handoff management is an important issue in wireless ATM mobile communication systems. With soft handoff, a conditional decision is made on when to hand off, which depends on the changes in pilot signal strength from the two or more base stations involved. The main aimed of this thesis is to study on soft handoff management, which resolves two significant problems, hot-spot cell and resource management, to decrease handoff call dropping probability. We propose a complete traffic shedding algorithm (CTSA) for soft handoff efficiently to alleviate the overloaded traffic in a hot-spot cell by adjusting handoff parameters, which virtually reduces the service coverage of the heavy loaded BS without adjusting the transmission power. In addition, in resource management, we propose a dynamic resource allocation scheme (DRAS) to improve performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Codice articolo 9783639829280
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on the characteristics of the wireless ATM networks based on multi-carrier code division multiple access (MC-CDMA) technique. MC-CDMA technique can use several pseudorandom noise codes (PN codes) to transmit in the same period to obtain higher throughput and support different traffic streams. Handoff management is an important issue in wireless ATM mobile communication systems. With soft handoff, a conditional decision is made on when to hand off, which depends on the changes in pilot signal strength from the two or more base stations involved. The main aimed of this thesis is to study on soft handoff management, which resolves two significant problems, hot-spot cell and resource management, to decrease handoff call dropping probability. We propose a complete traffic shedding algorithm (CTSA) for soft handoff efficiently to alleviate the overloaded traffic in a hot-spot cell by adjusting handoff parameters, which virtually reduces the service coverage of the heavy loaded BS without adjusting the transmission power. In addition, in resource management, we propose a dynamic resource allocation scheme (DRAS) to improve performance. Codice articolo 9783639829280
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Taschenbuch. Condizione: Neu. Study on Soft Handoff Management Using MC-CDMA in Wireless ATM Networks | Hsin-Pei Chen | Taschenbuch | Englisch | 2016 | ¿¿¿¿¿¿¿ | EAN 9783639829280 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 120594876
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