Dynamic threshold-based call admission framework for prioritized multimedia traffic in wireless cellular networks

Hassanein, Hossam S.

doi:10.1109/glocom.2004.1378041

Cited by 19 publications

(16 citation statements)

References 12 publications

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“…is dependent on the specific technological implementation of the radio interface [20]. However, no matter which multiple access technology (FDMA, TDMA, CDMA, or OFDMA) is used, we could interpret system capacity in terms of effective or equivalent bandwidth [21][22][23]. Therefore, whenever we refer to the bandwidth of a call, we mean the number of bbu that is adequate for guaranteeing the desired QoS for this call, which is similar to the approach used for homogeneous networks in [23][24][25].…”

Section: Heterogeneous Network Model and Assumptionsmentioning

confidence: 99%

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Falowo

Chan

2010

Telecommun Syst

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It is envisaged that next generation wireless networks (NGWN) will be heterogeneous, consisting of multiple radio access technologies (RATs) coexisting in the same geographical area. In these heterogeneous wireless networks, mobile terminals of different capabilities (heterogeneous terminals) will be used by subscribers to access network services. We investigate the effect of using heterogeneous mobile terminals (e.g. single-mode, dual-mode, triple-mode, etc.) on call blocking and call dropping probabilities in cooperative heterogeneous wireless networks. We develop analytical models for heterogeneous mobile terminals and joint radio resource management in heterogeneous wireless networks. Using a two-class three-RAT heterogeneous wireless network as an example, the effect of using heterogeneous terminals in the network is evaluated. Results show the overall call blocking/dropping probability experienced by subscribers in heterogeneous wireless networks depends on the capabilities of mobile terminals used by the subscribers. In the worst case scenario, when all subscribers use single-mode mobile terminals, each subscriber is confined to a single RAT and consequently, joint radio resource management in heterogeneous wireless network has no improvement on new call blocking and handoff call dropping probabilities. However, in the best case scenario, when all subscribers use three-mode terminals, new class-1 call blocking probability decreases from 0.37 (for 100% singlemode terminals) to 0.05, at the arrival rate of 6 calls per minute. New class-2 call blocking probability also decreases from 0.8 to 0.52. Similarly, handoff class-1 call dropping probability decreases from 0.14 to 0.003, and handoff class-2 call dropping probability decreases from 0.44 to 0.09.

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Section: Heterogeneous Network Model and Assumptionsmentioning

confidence: 99%

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Falowo

Chan

2010

Telecommun Syst

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“…However, no matter which multiple access technology (FDMA, TDMA, CDMA, or OFDMA) is used, system capacity could be interpreted in terms of effective or equivalent bandwidth. Therefore, in this article, bandwidth required by a call is denoted by bbu, which is similar to the approach used for wireless networks in [13].…”

Section: System Model and Assumptionsmentioning

confidence: 99%

“…Note that this set of assumptions has been used for heterogeneous wireless networks in the literature, and is found to be generally applicable in the environment where the number of mobile users is larger than the number of channels [13,14].…”

Section: System Model and Assumptionsmentioning

confidence: 99%

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

Falowo

Chan

2012

J Wireless Com Network

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There is an increasing demand for high bandwidth-consuming services such as real-time video and video streaming over wireless access networks. A single radio access technology (RAT) in a heterogeneous wireless network may not always have enough radio resource to admit high bandwidth-consuming calls, such as video calls. Existing joint call admission control (JCAC) algorithms designed for heterogeneous wireless networks block/drop an incoming call when none of the available individual RATs in the network has enough bandwidth to admit the incoming call. Consequently, video calls experience high call blocking/dropping probability in the network. However, some calls such as multi-layer coded (scalable) video can be transmitted/ received over one or multiple RATs. This article proposes a JCAC algorithm that selects a single or multiple RATs for scalable video calls in heterogeneous wireless networks, depending on availability of radio resources in available RATs. Non scalable calls are always admitted into a single RAT by the algorithm. The aim of the proposed algorithm is to reduce call blocking/dropping probability for both scalable and non-scalable calls. An analytical model is developed for the proposed JCAC algorithm, and its performance is evaluated. Simulation results show that the proposed algorithm reduces call blocking/dropping probability in heterogeneous wireless networks.

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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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Dynamic threshold-based call admission framework for prioritized multimedia traffic in wireless cellular networks

Cited by 19 publications

References 12 publications

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

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

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

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