models defined by the ITU. As a result, we analyzed the performance of Mobile WiMAX for Adaptive Modulation and Coding (AMC) dependent on the QoS target, the channel model, the user velocity and the SNR. Hereby, we assumed two partially contrary QoS targets, high data rate and target PER. I.

Abstract – Mobile users connected to the WiMAX technology can use five different service classes according to their different needs. In this paper we propose priority based uplink scheduling scheme for IEEE 802.16 standard that improves the QoS performances of the WiMAX service classes, especially

(University of Novi Sad, Serbia)

Wireless Interoperability for Microwave Access (WiMAX) is one of the most familiar broadband wireless access technologies that support multimedia transmission. IEEE802.16 Medium Access Control (MAC) covers a large area for bandwidth allocation and Quality of Service (QoS) mechanisms for various

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of existing ones is gaining a significant momentum. Since many available Web services provide overlapping or identical functionality, albeit with different Quality of Service (QoS), a choice needs to be made to determine which services are to participate in a given composite service. This paper presents a

-rate for residential as well as enterprise use with low cost infrastructure. Both continuous and bursty traffic can be accommodated through this wireless technology. The project aims to discuss its performance analysis on the basis of different parameters like QoS, modulation, data rate as compared to other wireless

mobility is the moving of MS between the networks of same technology. In Heterogeneous mobility MS is moving between the different network such as mobility handling between Wi-fi and WiMAX. In this paper we discuss both heterogeneous and homogeneous networks with respect to mobility handling for 802

E-CLEMA: A cross-layer design for improved quality of

it supports concurrent execution of diverse mobile applications. We identify agility as a key attribute of adaptive systems, and describe how to quantify and measure it. We present the results of our evaluation of Odyssey, indicating performance improvements up to a factor of 5 on a benchmark of three