Dual-threshold admission control for non-real-time traffic in wireless data networks

Tzeng, Show-Shiow; Lu, Hsin‐Yi

doi:10.1016/j.comcom.2008.03.010

Cited by 9 publications

(7 citation statements)

References 20 publications

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“…An adaptive soft handoff algorithm, which dynamically calculates the thresholds for soft handoff based on mobile location, signal strength, and RF propagation statistics was proposed in [16]. In [17], the authors designed a dual-threshold scheme to control new arrivals and the total number of calls in a cell, respectively. A dual-threshold energy detection algorithm was proposed in [18] for cognitive radio systems.…”

Section: Dual-threshold Design Methods Have Been Widely Employed To Smentioning

confidence: 99%

Dual‐threshold sleep mode control scheme for small cells

Chen

Yin

2014

IET Communications

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Sleep mode control is essential to the energy efficiency of small cell networks. However, frequently switching on/off small cell base stations (SBSs) may cause the degradation to the quality-of-service of their users and the increase of network operational cost as well. In this study, the authors propose a novel dual-threshold-based sleep mode control strategy for small cell networks. The motivation of using dual-thresholds to control the sleep mode is to minimise the network energy consumption while avoiding the frequent mode transitions of SBSs at the same time. They utilise the Markov chain method to analyse the performance of the proposed strategy. Optimisation problems are formulated to achieve the optimal dualthresholds for two different scenarios: the homogeneous threshold scenario in which uniform dual-thresholds are applied to all SBSs and the heterogeneous threshold scenario where different dual-thresholds are assigned to SBSs. For the homogeneous threshold scenario, they develop an optimal solution which is based on exhaustive searching. A reinforcement learning-based algorithm and a heuristic algorithm are proposed for the heterogeneous threshold scenario, respectively. Simulation results are presented to demonstrate the performance of the author's proposed algorithms.

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Section: Dual-threshold Design Methods Have Been Widely Employed To Smentioning

confidence: 99%

Dual‐threshold sleep mode control scheme for small cells

Chen

Yin

2014

IET Communications

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“…It is known that traditional RR schemes are not optimal for non real‐time applications and conservative towards the real‐time applications. In , the main limitations encountered in a conventional reservation‐based scheduler for serving non real‐time tasks were described and formally analysed.…”

Section: Related Workmentioning

confidence: 99%

Integrated predictive call admission control and resource reservation for wireless networks: an adaptive filtering approach

Ukil

Misra

2012

Trans. Emerging Tel. Tech.

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Allocation of network resources in determining whether the connection can be established or not while maintaining stringent quality of service under desired traffic condition is the principal objective of a call admission control (CAC) algorithm. Radio resources when applied to real‐time applications may lead to over‐provisioning in wireless networks. Although CAC and resource reservation are treated independently in the literature, an attempt has been undertaken in this paper to formulate an integrated algorithm capable of providing accurate predictive CAC and resource reservation techniques with optimal resource utilization. The algorithm has been developed using the concept of adaptive filtering. The principal focus has been directed to introduce normalized least mean square adaptive filtering to estimate the source traffic characteristics. With extensive simulation results, we show the effectiveness of the proposed scheme and analyse the significance of different parameters involved in the scheme to optimize the overall radio resource management.Copyright © 2012 John Wiley & Sons, Ltd.

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“…The Starvation problem of low priority service flows was addressed in [8,9], and scheduling algorithms are proposed to provide fairness among connections. Various admission control schemes are proposed [12][13][14] to increase the bandwidth utilization or reduce the average delay of real-time traffic. Traffic shaping mechanisms which can increase fairness and channel utilization are proposed in [4] and [11], respectively.…”

Section: Related Workmentioning

confidence: 99%

“…Traffic shaping mechanisms which can increase fairness and channel utilization are proposed in [4] and [11], respectively. Various admission control schemes are proposed [12][13][14] to increase the bandwidth utilization or reduce the average delay of real-time traffic. Furthermore, integrating the dynamic of bandwidth allocation with admission control can further improve the serving capacity.…”

Section: Related Workmentioning

confidence: 99%

Using GI‐G‐1 queuing model for rtPS performance evaluation in 802.16 networks

Kao¹,

Chuang²

2011

Int J Communication

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Among the scheduling services, rtPS (real-time polling service) is designated for real-time applications. Among three packet delay intervals, performance effect on polling interval has been widely studied, but less on the intervals of scheduling and delivery. To evaluate the performance of delay-sensitive rtPS applications, instead of using continuous queueing model, a discrete-time GI-G-1 model, which considers intervals of polling, scheduling, and delivery, is proposed. By taking VoIP as a typical rtPS application, the transmission latency under different QoS settings, polling probability, and traffic load are presented. The latency is also compared among various codec schemes. The results indicate that when the codec rate is either fulfilled or dissatisfied by the promised bandwidth of service levels, the performance is highly dependent upon the polling probability, no matter what the traffic condition is. However, if the codec rate is in between the promised bandwidth of various service levels, the polling probability is a dominant factor in light traffic environment, while the settings on QoS parameters will strongly determine the performance in heavy traffic situation. In addition to the verification using simulation, the bandwidth utilization derived from the GI-G-1 model can be applied to improve the serving capacity of base stations. Copyright (c) 2011 John Wiley & Sons, Ltd

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Dual-threshold admission control for non-real-time traffic in wireless data networks

Cited by 9 publications

References 20 publications

Dual‐threshold sleep mode control scheme for small cells

Dual‐threshold sleep mode control scheme for small cells

Integrated predictive call admission control and resource reservation for wireless networks: an adaptive filtering approach

Using GI‐G‐1 queuing model for rtPS performance evaluation in 802.16 networks

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