Admission Control Scheme for Mobile WiMAX Networks

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

doi:10.1109/isce.2007.4382228

Cited by 9 publications

(8 citation statements)

References 3 publications

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“…Another new CAC scheme, called Quadra-Threshold Bandwidth Reservation (QTBR), is proposed in [4]. In QTBR, different threshold values are used for different service classes.…”

Section: Introductionmentioning

confidence: 99%

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Measurement-Based Connection Admission Control Methods for Real-Time Services in IEEE 802.16e

Lakkakorpi¹,

Sayenko

2009

2009 Second International Conference on Communication Theory, Reliability, and Quality of Service

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In this paper, we present two simple-to-implement measurement-based admission control methods for real-time services in IEEE 802.16e networks. The first method simply utilizes the averaged number of free slots as input in admission decisions while the second method is more advanced and it tunes the admission thresholds according to current traffic load. Our simulations show that the proposed methods lead into more efficient use of scarce radio resources -without sacrificing the Quality of Service (QoS) requirements -than using parameter-based, i.e., static, connection admission control.

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“…Another new CAC scheme, called Quadra-Threshold Bandwidth Reservation (QTBR), is proposed in [4]. In QTBR, different threshold values are used for different service classes.…”

Section: Introductionmentioning

confidence: 99%

“…Our approach to the connection admission control problem in IEEE 802.16e is somewhat similar to the schemes proposed in [3] and [4]. However, we have a lot more pragmatic viewpoint; the proposed techniques take into account all the details of a real IEEE 802.16e system.…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Connection Admission Control Methods for Real-Time Services in IEEE 802.16e

Lakkakorpi¹,

Sayenko

2009

2009 Second International Conference on Communication Theory, Reliability, and Quality of Service

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“…Alternatively, as means of overcoming the stochastic nature of RRM in IEEE 802.16e, Lee et al [10] base their predictions on the Central Limit Theorem, according to which, the sum of a large number of random variables (each connection's bandwidth requirements) can be rather accurately approximated by a single variable following normal distribution. Furthermore, from the QoS point of view, the CAC algorithm in Tsang et al [11] allows the provision of different QoS guarantees to each one of the available traffic classes through a threshold-based scheme, while the CAC mechanism in Kalikivayi et al [12] is built upon the bandwidth and delay restrictions imposed by each flow.…”

Section: Related Workmentioning

confidence: 99%

A hybrid CAC algorithm for maximizing downlink capacity of M-WiMAX systems

Theodoridis

Pavlidou

2010

Wireless Netw

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Due to the implementation of an Adaptive Modulation-Coding (AMC) mechanism in the 802.16e physical layer, each connection's bandwidth requirements cannot be statically computed, but they derive as a function of the terminals' instantaneous Signal-to-Noise Ratio (SNR). Therefore, the Connection Admission Control (CAC) mechanism fails to establish an efficient policy that would optimally exploit the system's resources. In this respect, the present paper formulates initially an adequate method for statistically calculating the average capacity of a Mobile-WiMAX system, according to the distribution of the several attenuation factors that affect the signal along the propagation path. In parallel, based on the processing of the terminal's SNR samples, a sophisticated algorithm for filtering out any misleading measurements is developed. This second method aims at predicting the upcoming Modulation-Coding state of every connection, so as to acquire a short-term view of its spectrum demands. Finally, all the above info collected from both the estimation methods is utilized by the CAC procedure in order to perform an as accurate as possible computation of the resource availability. As a result, this hybrid approach succeeds in maximizing the network revenue through significantly increasing the number of concurrently serviced connections while guaranteeing their Quality of Service (QoS) standards.

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“…Other bandwidth allocation modules in the literature, such as the highest urgency first (HUF) , lack any congestion avoidance functionalities. Meanwhile, existing WiMAX AC proposals rely on interclass threshold blocking policies. Such policies preemptively block specific service classes from accessing the network, which could be potentially devastating to overall resource utilization.…”

Section: Introductionmentioning

confidence: 99%

“…One possible way to differentiate user connection requests is through static bandwidth reservations. In QTBR , the AC module makes its decisions based on fixed resource utilization threshold defined for individual service classes. User connections are prioritized based on their service classes, with UGS having the highest priority order, followed by ertPS, rtPS, nrtPS, and, finally, BE, with BE having the lowest priority.…”

Section: Introductionmentioning

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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Admission Control Scheme for Mobile WiMAX Networks

Cited by 9 publications

References 3 publications

Measurement-Based Connection Admission Control Methods for Real-Time Services in IEEE 802.16e

Measurement-Based Connection Admission Control Methods for Real-Time Services in IEEE 802.16e

A hybrid CAC algorithm for maximizing downlink capacity of M-WiMAX systems

Optimized bandwidth allocation in broadband wireless access networks

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