A predictive handover scheme to improve service quality in the IEEE 802.21 network

Lin, Chih-Peng; Chen, Hsing-Lung; Leu, Jenq‐Shiou

doi:10.1016/j.compeleceng.2012.02.013

Cited by 21 publications

(9 citation statements)

References 13 publications

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“…According to the 802.21 specification and media independent handover (MIH) standards, MD handovers must be supported across heterogeneous networks. Lin et al considered QoS issues and proposed a scheduling and predict handover requirement [6] with seamless vertical handover. In this study, MIH, rate adaptation, and the MD-determined mechanism are used to support the load-balancing handover for association and disassociation operations.…”

Section: Relevant Studiesmentioning

confidence: 99%

“…This problem is subject to bandwidth constraints in which that the summation of served traffic f u must not be larger than the bandwidth of the AP, as shown in (6). The bandwidth B u = g u (c u , e n ) depends on the error rate e u and the transmission range c u of AP u.…”

Section: Subject To the Following Conditionsmentioning

confidence: 99%

“…Several studies have proposed approaches for solving the problems of seamless mobility handover controlled by MDs or APs [1,[4][5][6]. The load balancing among the APs is controlled by an association message (sent by APs to their served MDs) and signal strength (to cover or not cover served MDs).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Load-balancing metrics: Comparison for infrastructure-based wireless networks

Wen

Shen²

2014

Computers & Electrical Engineering

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Section: Relevant Studiesmentioning

confidence: 99%

Section: Subject To the Following Conditionsmentioning

confidence: 99%

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Load-balancing metrics: Comparison for infrastructure-based wireless networks

Wen

Shen²

2014

Computers & Electrical Engineering

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“…However the impact of some key indicators in vertical handover were not considered such as mobile node speed, applications bitrates as inputs parameters and their effects on the average throughput, E2E delay, packet loss and handover latency. The work in [7] presents a cross-layer scheduling scheme based on exploiting the LGD trigger to predict handover requirements, in addition, the network traffic was categorized according to the QoS classes of services. Several evaluation metrics were studied to evaluate the performance of integrating UMTS and WiMAX, as well as WiFi and WiMAX networks.…”

Section: Introductionmentioning

confidence: 99%

Tradeoff analysis for vertical handover between UMTS-WiFi enhanced by IEEE802.21

Khalil

Hamaydeh

Bali

et al. 2013

2013 IEEE International RF and Microwave Conference (RFM)

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Mobile communication systems are equipped with multiple network interfaces. Wireless Fidelity (WiFi) and 3 rd Generation (3G) are the most widely implemented interfaces in the latest mobile communication devices and therefore being able to fulfil most of the computing aspects. Nowadays, most modern mobile devices suffer from the interoperability between the WiFi and 3G interfaces, each access technology serves the user independently and therefore these technologies suffer the lack of interworking mechanisms and service continuity. In this paper, we carried out an intensive simulation analysis for the integration between WiFi from the 802 family of standards and UMTS as 3G cellular network. This integration is enhanced by IEEE802.21 standard that facilitates handover between heterogeneous networks by presenting media independent handover (MIH) reference models for different link layers technologies. The main objective is to study the impact of the mobile node speeds and applications bitrates on the key performance metrics in vertical handover scenarios. This study will present the importance of considering the mobile node speeds and applications bitrates in the vertical handover scenarios by observing the behavior of the performance metrics that affect the Quality of Service (QoS). In the proposed vertical handover scenarios, the recommended range of speeds and bitrates were precisely identified according to the acceptable values of the performance metrics defined by International Telecommunication Union -Telecommunication (ITU-T).

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“…If it is the lat packet this unit release the MS. While the queue state is updated when a queue or de-queue operation is executed and the MS state is updated if it is necessary [20,21,22].…”

Section: Classifier Module (Cm)mentioning

confidence: 99%

A Cross-Layer Qos Based Scheduling Algorithm WRR Design in Wimax Base Stations

Guesmi¹,

Maaloul²

2013

AJEEE

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The IEEE 802.16 standard defines a wireless broadband access network technology called Wimax. It introduces several advantages, one of which is the support for Quality of Service (QoS) at the MAC level. To ensure meeting the QoS requirements, the 802.16 base stations must run some algorithms to allocate slots between connections. Call admission and scheduling are the strongest tools in our hand to ensure QoS. We propose an efficient design architecture that is capable of allocating slots based on the QoS requirements, bandwidth request sizes, and the 802.16 network parameters. To test the proposed solution, we have implemented a cross layer between the 802.16 MAC and the network layers in the NS-2 simulator and, then in RTL level with VHDL to be designed in FPGA. Several simulation scenarios are presented. According to the simulation results, the proposed scheduling solution ensures the QoS requirements of all 802.16 service classes. The solution shares free resources weighted fairly and demonstrates work-conserving behavior. The proposed design in this paper was analyzed: simulation results show a significant performance improvement in terms of overall throughput and delay when compared to recently published work.

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A predictive handover scheme to improve service quality in the IEEE 802.21 network

Cited by 21 publications

References 13 publications

Load-balancing metrics: Comparison for infrastructure-based wireless networks

Load-balancing metrics: Comparison for infrastructure-based wireless networks

Tradeoff analysis for vertical handover between UMTS-WiFi enhanced by IEEE802.21

A Cross-Layer Qos Based Scheduling Algorithm WRR Design in Wimax Base Stations

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