Abstract
Abstract The development of the advanced wireless access technologies is focusing on the enhancement of mobile user satisfaction in terms of quality of service (QoS). As the number of mobile users increases, the amount of traffic passing through base station (BS) significantly increases so that the preplanned capacity of downlink or uplink can be exceeded from time to time resulting in the degradation of users’ QoS satisfaction. A way to utilize the downlink (DL) and the uplink (UL) of an orthogonal frequency division multiple access frame efficiently is therefore needed subject to users’ bandwidth demand which changes continuously over the time. In this paper, we propose a QoS-aware dynamic resource allocation (QDRA) scheme which dynamically adjusts the DL/UL ratio to allocate bandwidth for QoS support to users based on the usage statistics. The performance of the proposed QDRA scheme was examined by applying to the WiMAX standard specifications, to show its superiority of maintaining a higher QoS support for various classes of services compared to the pre-reported adaptive method.
Highlights
The advanced wireless access technologies such as longterm evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX), so called the 4th generation wireless technologies, have begun to be deployed over the world to efficiently support various new services and features such as multimedia services with high data rates and wide coverage area, as well as all-Internet protocol (IP) with security and quality of service (QoS) support [1-3].With the wide spread of the broadband wireless networks, the amount of traffic transmitted in data networks grows extremely fast
We propose a QoS-aware dynamic resource allocation scheme called QDRA which takes into account regulating DL traffic and UL traffic, allocating bandwidth to users based on QoS requirements as well as the wireless channel conditions
We propose a modification of strict priority (2-Round Priority-based algorithm) based on the principles: scheduling to send the packets with stringent deadlines in order to meet ‘maximum latency’ and trying to reserve a minimum bandwidth to users having minimum reserved traffic rate (MRTR)
Summary
The advanced wireless access technologies such as longterm evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX), so called the 4th generation wireless technologies, have begun to be deployed over the world to efficiently support various new services and features such as multimedia services with high data rates and wide coverage area, as well as all-IP with security and QoS support [1-3]. The previous algorithms were designed for QoS satisfaction, they did not take into account the operational characteristics of the mobile WiMAX such as varying channel conditions in time as well as the dramatic change between DL traffic and UL traffic during a service. Such the variation of operational conditions have been found important in maintaining the users’ QoS satisfaction thru many practical WiMAX deployment experiences, because a small portion of bandwidth degradation on non-real-time data connections may result in unnoticeable perceived QoS change on end-users, but the same.
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