QoS for Mobile WiMAX Networks: Call Admission Control and Bandwidth Allocation

Tung, Hoi Yan; Tsang, Kim Fung; Lee, L.T.; Ko, King-Tim

doi:10.1109/ccnc08.2007.134

Cited by 21 publications

(12 citation statements)

References 4 publications

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“…This method guarantees that QoS requirements are met and significantly increases the total throughput. QTBR's QoS-aware BA [3] avoids congestion by balancing the blocking and dropping probabilities, which results in reducing the allocations for active connections. Upon surpassing predetermined threshold levels of both blocking and dropping rates, the allocations are reduced by a linear factor.…”

Section: Radio Resource Management For Wimaxmentioning

confidence: 99%

Optimized bandwidth allocation in broadband wireless access networks

Miller

Esmailpour

Taha

et al. 2014

Wireless Communications

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Towards satisfying the requirements of International Mobile Telecommunications–Advanced, both the Institute of Electrical and Electronics Engineers (IEEE) and Third Generation Partnership Project (3GPP) introduced revolutionary wireless technologies, exploiting advanced technologies and architectures. Both IEEE's 802.16 (Worldwide Interoperability for Microwave Access (WiMAX)) and 3GPP's Long Term Evolution have been introduced to accommodate the increasing demand for mobile services and applications. To realize the true potential of these technologies, however, opportunistic frameworks for radio resource management must be designed to exploit the adaptive nature of mobile traffic. The utility optimized quality‐of‐service (QoS) framework proposed in this paper for the mobile WiMAX networks achieves this objective. To maintain support for QoS guarantees, the framework capitalizes on the adaptive nature of WiMAX traffic by individually linking connections with a utility function designed to both uphold the end users’ perceived performance and determine bandwidth allocations by a search tree maximization algorithm. In doing so, bandwidth utilization is maximized for all active connections, and blocking and dropping probabilities for new and handover calls, respectively, are minimized. The framework is evaluated through an extensive simulation model and is shown to outperform state‐of‐the‐art solutions. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Radio Resource Management For Wimaxmentioning

confidence: 99%

Optimized bandwidth allocation in broadband wireless access networks

Miller

Esmailpour

Taha

et al. 2014

Wireless Communications

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“…[9] 2008 : HY Tung, KF Tsang, KT Ko verified that the QoS aware bandwidth allocation with threshold setting lowers the Blocking Probability of rtPS and nrtPS. [8] 2009 : Chakchai So-In, Raj Jain, and Abdel-Karim Tamimi classified recent scheduling disciplines based on the channel awareness in making the decision. Well-known scheduling discipline can be applied for each class such as EDF for rtPS and WFQ for nrtPS and WRR for inter-class.…”

Section: Related Workmentioning

confidence: 99%

Services as Parameter to Provide Best QOS : An Analysis Over WIMAX

Singh¹

2012

IJNGN

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In this paper it is proposed to provide the QoS to the user by using the degradation of service under hostile environment being itself be a parameter to improve the QoS. Here the relation between the service and environment of its best performance drawn on the basis of simulation and analysis .The service then taken as a parameter to decide present environment of the user and to take measurable steps to improve the QoS either doing handover to nearby station or increasing power or to provide some marginal bandwidth etc.All analysis done over a WiMax network i.e. being designed and simulated using the Qualnet wireless simulator.

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“…To provide a QoS‐supported wireless broadband network, IEEE 802.16 defines five classes of scheduling services for diverse applications 9, 10. Among these scheduling services, the unsolicited grant service (UGS), real‐time polling service (rtPS), and extended real‐time polling service (ertPS) are defined to support real‐time traffic, while non‐real‐time polling service (nrtPS) and best effort service (BE) are defined to support non‐real‐time traffic.…”

Section: Related Workmentioning

confidence: 99%

A slot‐based BS scheduling with maximum latency guarantee and capacity first in 802.16e networks

Hsieh

Chang

Kao

2011

Int J Communication

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The IEEE 802.16e standard specifies the QoS support at the MAC level for wireless broadband access network. To meet the QoS requirements, an efficient scheduling algorithm at base station (BS), which is not defined in the standard, is necessary for slots allocation. In this paper, a Slot-based BS scheduling algorithm with Maximum Latency Guarantee and Capacity First (SMLG-CF) is proposed. With SMLG-CF, the connection request is satisfied with highest slot capacity first. Together with the use of dynamic sub-frame adjustment, the overall system transmission can be efficiently improved. Through the finer slots calculation and accurate transmission time scheduling, the maximum latency guarantee can be better achieved for urgent requests. In the simulation, we compare the proposed mechanism with the deficit fair priority queue scheduling algorithm and the Highest Urgency First scheduling algorithm. The simulation results reveal that SMLG-CF outperforms both algorithms from the aspect of maximum latency violation rate and average transmission rate. Copyright (C) 2011 John Wiley & Sons, Ltd

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QoS for Mobile WiMAX Networks: Call Admission Control and Bandwidth Allocation

Cited by 21 publications

References 4 publications

Optimized bandwidth allocation in broadband wireless access networks

Optimized bandwidth allocation in broadband wireless access networks

Services as Parameter to Provide Best QOS : An Analysis Over WIMAX

A slot‐based BS scheduling with maximum latency guarantee and capacity first in 802.16e networks

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