Multiple-RAT selection for reducing call blocking/dropping probability in cooperative heterogeneous wireless networks

Falowo, Olabisi E.; Chan, H. Anthony

doi:10.1186/1687-1499-2012-221

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Initial JCAC algorithms for HWN dropped the calls when none of the available individual RAT has enough bandwidth to support the calls [4][5][6][7][8]. JCAC algorithms later evolved to select multiple RATs for a single scalable call [9]. JCAS admits calls by giving more importance to handover calls compare with the new call.…”

Section: Introductionmentioning

confidence: 99%

Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors

Biradar

Shweta

Padmanaban

et al. 2022

Scientific Programming

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Control of call admission and management of bandwidth are the two important functionalities to achieve higher call handling capacity in heterogeneous wireless networks (HWN). This work addresses the problem of supporting differential qualities of services (QoS) with adherence to multicriteria factors in addition to reducing call-dropping probability in HWN. Toward this end, learning-assisted admission and bandwidth management are proposed. The decision to control the call acceptance ratio and bandwidth allocation level is learned continuously based on current network dynamics and the differential QoS requirements of the current calls. This learning reduces the call drop probability and slippage in QoS for calls. The parameters employed for evaluation in the suggested approach for call admission control include call priority, service type, service delivery mode, bandwidth availability for scalable and nonscalable calls, QoS distortion rate, and call ratio.

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Section: Introductionmentioning

confidence: 99%

Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors

Biradar

Shweta

Padmanaban

et al. 2022

Scientific Programming

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show abstract

“…Hence, a 4D-MDP serves to build our model. On the other hand, we assume a fixed total capacity for both RATs, each being partitioned into a fixed number of basic bandwidth units (bbu) as in, for example, [15,20,21]. This implies that a limited number of sessions can be served simultaneously by each RAT.…”

Section: State Spacementioning

confidence: 99%

Revenue‐Maximizing Radio Access Technology Selection with Net Neutrality Compliance in Heterogeneous Wireless Networks

Khloussy

Jiang

2018

Wireless Communications and Mobile Computing

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The net neutrality principle states that users should have equal access to all Internet content and that Internet Service Providers (ISPs) should not practice differentiated treatment on any of the Internet traffic. While net neutrality aims to restrain any kind of discrimination, it also grants exemption to a certain category of traffic known as specialized services (SS), by allowing the ISP to dedicate part of the resources for the latter. In this work, we consider a heterogeneous LTE/WiFi wireless network and we investigate revenue-maximizing Radio Access Technology (RAT) selection strategies that are net neutrality-compliant, with exemption granted to SS traffic. Our objective is to find out how the bandwidth reservation for SS traffic would be made in a way that allows maximizing the revenue while being in compliance with net neutrality and how the choice of the ratio of reserved bandwidth would affect the revenue. The results show that reserving bandwidth for SS traffic in one RAT (LTE) can achieve higher revenue. On the other hand, when the capacity is reserved across both LTE and WiFi, higher social benefit in terms of number of admitted users can be realized, as well as lower blocking probability for the Internet access traffic.

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“…[15,16]. A state of the network is called feasible if each of its dimensions does not exceed the limit defined by the RATs capacities.…”

Section: The Set Of Feasible Statesmentioning

confidence: 99%

A Revenue-Maximizing Scheme for Radio Access Technology Selection in Heterogeneous Wireless Networks with User Profile Differentiation

Khloussy¹,

Gelabert

Jiang³

2013

Lecture Notes in Computer Science

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Abstract. In this paper, the problem of radio access technology (RAT) selection in heterogeneous wireless networks (HWNs) is tackled from an operator's perspective, with the objective of maximizing the generated revenue. Two user profiles are considered with different priority levels. An integrated 3GPP Long Term Evolution (LTE) and Wireless Fidelity (WiFi) network is considered as an example of HWN, where LTE is used mainly for the high-priority class, while a portion of its resources, defined by a load threshold, can be shared by the low-priority class. A Markovian model is defined and validated by simulation. Subsequently, the value of the load threshold for resource sharing in LTE is investigated, and an optimization problem is formulated to find the optimal threshold for which the revenue is maximized.

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Multiple-RAT selection for reducing call blocking/dropping probability in cooperative heterogeneous wireless networks

Cited by 8 publications

References 12 publications

Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors

Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors

Revenue‐Maximizing Radio Access Technology Selection with Net Neutrality Compliance in Heterogeneous Wireless Networks

A Revenue-Maximizing Scheme for Radio Access Technology Selection in Heterogeneous Wireless Networks with User Profile Differentiation

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