Adaptive call admission control and resource allocation in multi server wireless/cellular network

Jain, Madhu; Mittal, Ragini

doi:10.1007/s40092-015-0129-3

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…A case study of a construction project of a spherical storage tank is presented. Jain and Mittal (2016) proposed an algorithm to find the optimal resource allocation for an integrated wireless/cellular model. Rehm and Thiede (2012) conducted a survey on project scheduling methods and showed that methods were limited to only 51 tasks and most methods lacked the capability to deal with multiple resource constraints and did not focus on the dynamic nature of the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Flexible resource management and its effect on project cost and duration

Pinha

Ahluwalia

2018

J Ind Eng Int

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In practice, most projects result in cost overruns and schedule slippage due to poor resource management. This paper presents an approach that aims at reducing project duration and costs by empowering project managers to assess different scenarios. The proposed approach addresses combinatorial modes for tasks, multi-skilled resources, and multiple calendars for resources. A case study reported in the literature is presented to demonstrate the capabilities of this method. As for practical implications, this approach enhances the decision-making process which results in improved solutions in terms of total project duration and cost. From an academic viewpoint, this paper adds empirical evidence to enrich the existing literature, as it highlights relevant issues to model properly the complexity of real-life projects.

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Section: Literature Reviewmentioning

confidence: 99%

Flexible resource management and its effect on project cost and duration

Pinha

Ahluwalia

2018

J Ind Eng Int

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“…Huang, Kumar and Kuo [18] proposed a model of three service classes: handoff priority, handoff guarantee and best effort service. An optimal allocation scheme for an integrated wireless cellular model with handoff priority and handoff guarantee services is designed by Jain and Mittal [9]. The millimeter-wave (mmWave) frequency band is seen as a key enabler of multigigabit wireless access in future cellular networks.…”

Section: Related Workmentioning

confidence: 99%

Minimizing the cost of two-tier cellular network with queuing handoff calls in microcell using genetic algorithm

Goel¹,

Lobiyal²

2018

Malaya J. Mat.

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Call dropping probability is less desirable rather than call blocking probability for modeling of two tier cellular network design. To reduce call dropping probability queuing for handoff calls in microcell may be the one solution. Determining number of cells in each tier without compromising the quality can realize the network design as an optimization problem. In this paper, we have considered cost optimization problem of a two tier cellular network design. In this problem M/M/c/k queuing model is used in microcell for hadling the handoff calls. A two dimensional Markov chain model has been developed to determine the steady state probabilities of number of calls served by macrocells and microcells. This optimization problem has been solved by using genetic algorithm. The results of the proposed solution are compared with the results of Simulated Annealing based algorithm using guard channel CAC without queuing.

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“…From the relation (9) we get, ( ) Again acceptance factor, 0<α<1; Fractional priority to N=M and number of fractional channel = N-M= i; for proposed DLFC scheme. From the relation (17) we get, Now for blocking probabilities from equations (10) and 20, we can estimate NCBP for FGB scheme as, (22) Handover dropping probability for DLFC scheme, ( )…”

Section: Numerical Evidence Of Optimality For Ncbp (Pb)mentioning

confidence: 99%

“…Among them, providing the priority to the handover calls several CAC schemes have been suggested in [1], [7]- [20]. Most of these propositions [1], [7][8][9][10][11][12][13] considered identical channel holding time regarding both the new and handover calls those specify one-dimensional Markov queue process. On the other hand, the research works proposed in [14][15][16][17][18][19][20] have been claimed that this one-dimensional queue method is not accurate and therefore they proposed different channel holding time approaches which are more suitable to evaluate the QoS of a CAC scheme.…”

Section: Introductionmentioning

confidence: 99%

Defined Limited Fractional Channel Scheme for Call Admission Control by Two-Dimensional Markov Process based Statistical Modeling

Rahman¹,

Sohag²,

Ahmmed³

et al. 2018

Adv. sci. technol. eng. syst. j.

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The increasing demand for advanced services in wireless networks raises the problem for quality of service (QoS) provisioning with proper resource management. In this research work, such a provisioning technique for wireless networks is performed by Call Admission Control (CAC). A new approach in CAC named by Defined Limited Fractional Channel (DLFC) is proposed in this work for the wireless networks in order to provide proper priority between the new calls and handover calls. This DLFC scheme is basically a new style of handover priority scheme. Handover priority is provided by two stages in this scheme which helps the network to utilize more resources. The first priority stage is a fractional priority and the second stage is an integral priority. Fractional priority is provided by the uniform fractional acceptance factor that accepts new calls with the predefined acceptance ratio throughout the fractional priority stage. The two significant parameters of QoS: new call blocking probability and handover call dropping probability of single service wireless network have been analyzed under this DLFC scheme. Besides, the results of the proposed scheme have been compared with the conventional new thinning scheme and cutoff priority scheme and we found that our proposed scheme outperforms than the conventional schemes. Integral priority is given to the handover calls by reserving some channels only for handover calls. In this work, it is shown that DLFC scheme proves itself as optimal call admission controlling technique which is concerned about not only the QoS but also the proper channel utilization with respect to conventional thinning scheme and fractional channel schemes. The handover call rate estimation and its impact on QoS provisioning is discussed widely to attain the optimum QoS in the proposed handover priority scheme. We hope this proposed DLFC scheme will contribute to design high performance CAC in the wireless cellular network.

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Adaptive call admission control and resource allocation in multi server wireless/cellular network

Cited by 6 publications

References 25 publications

Flexible resource management and its effect on project cost and duration

Flexible resource management and its effect on project cost and duration

Minimizing the cost of two-tier cellular network with queuing handoff calls in microcell using genetic algorithm

Defined Limited Fractional Channel Scheme for Call Admission Control by Two-Dimensional Markov Process based Statistical Modeling

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