Performance Analysis of Ranking for QoS Handover Algorithm for Selection of Access Network in Heterogeneous Wireless Networks

Karam, Fazal Wahab; Jensen, Terje

doi:10.1109/icccn.2012.6289261

Cited by 20 publications

(13 citation statements)

References 23 publications

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“…Comparison studies of the MADM methods for network selection under various network conditions and for different service classes have been conducted in [29][30][31][32][33]. The findings of these studies are listed in Table 1.…”

Section: Related Workmentioning

confidence: 99%

Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment

2014

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As mobile devices have become more affordable, easy to use and powerful, the number of mobile users and their bandwidth demands have experienced a significant growth. Considering the rising popularity of power hungry applications (e.g., multimedia), battery power capacity is an important concern-as upgrades are not keeping up with the advances in other technologies (e.g., central processing unit and memory). Mobile users now demand better power and battery management techniques to prolong their mobile battery performance. This, together with the need for green information communications technology, provides motivation for researchers to develop energy efficient techniques to reduce the power consumption in next-generation wireless networks while meeting user's quality expectations. This paper conducts a realistic performance evaluation of a number of widely used multi attribute decision making (MADM)-based methods for network selection that aim at keeping the mobile users Always Best Connected anywhere and anytime. The main trade-off parameters considered include energy efficiency and user perceived quality levels for multimedia streaming. The energy consumption is modeled using real experimental results for an android mobile device. Similarly, the multimedia quality function was modeled using real user data, combined with a qualitative study to determine the resulting mean opinion scores. The performance analysis shows that the weighted multiplicative method (MEW) finds a better energy-quality trade-off for users in a heterogeneous wireless environment in comparison with three other MADM solutions.

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Section: Related Workmentioning

confidence: 99%

Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment

2014

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“…This is reasonable, since the scheduler is not fully specified in the standards. In order to simplify the study, the resource element is assumed to be a time fraction allocation parameter as modeled in [5] and the average user throughput is modeled as in Eqn (2), a straightforward modification from Eqn (1): (2) where is maximum link throughput achievable by LTE user and is the total number of LTE users.…”

Section: ) Lte With Max-min Fairnessmentioning

confidence: 99%

“…In [6] and [7], new network selection strategies are introduced for WiMAX-WiFi networks where network selection is predominantly driven by data rate. The work in [8] and [2] study access network selection for optimal service delivery and QoS to users respectively.…”

Section: Introduction(heading 1)mentioning

confidence: 99%

“…Thus consideration of WiFi backhaul capacity is inevitable during traffic offload decision making. As discussed in [2], to reduce data traffic pressure over mobile networks, alternative networks such as WiFi are used whenever possible for transporting data. The report in [3] also states that most existing smartphones with WiFi capability are configured by default to give higher priority to WiFi over the cellular interface for data transmissions.…”

Section: Introduction(heading 1)mentioning

confidence: 99%

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Dynamic backhaul sensitive Network Selection Scheme in LTE-WiFi wireless HetNet

Ting

Chieng

Kwong

et al. 2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Small-cell deployment within a wireless Heterogeneous Network (HetNet) presents backhauling challenges that differ from those of conventional macro-cells. Due to the lack of availability of fixed-lined backhaul at desired locations and due to cost saving reasons, operators may deploy a variety of backhaul technologies in a given network, combining available technologies such as fiber, xDSL, wireless backhaul and multihop mesh networks to backhaul small-cells. As a consequence, small-cells capacity may be non-uniform in the HetNet. Furthermore, some small-cells backhaul capacity may fluctuate if wireless backhaul is chosen. With such concerns in mind, a new network selection strategy considering small-cell backhaul capacity is proposed to ensure that users enjoy the best possible user experience especially in terms of connection throughput and fairness. The study compares performance of several common Network Selection Schemes (NSSs) such as WiFi First (WF) and Physical Data Rate (PDR) with the proposed Dynamic Backhaul Capacity Sensitive (DyBaCS) NSS in LTE-WiFi HetNets. The downlink performance of HetNet is evaluated in terms ofaverage throughput per user and fairness among users. The effects of varying WiFi backhaul capacity form the focus for the evaluation. Results show that the DyBaCS scheme generally provides superior performance in terms of fairness and average throughput per user across the range of backhaul capacities considered.

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“…MADM problems have several common characteristics such as Alternatives, Multiple attributes, Decision matrix, Attribute weights and Normalization. Most MADM algorithms that have been studied in [11][12][13][14][15] for the network selection problem are compensatory algorithms which means they combine multiple attributes to find the best alternatives, versus non compensatory algorithms used to find acceptable alternatives that satisfy the minimum cutoff.…”

Section: Related Workmentioning

confidence: 99%

Multi-Criteria Vertical Handover Comparison between Wimax and Wifi

Drissi

Oumsis

2015

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Abstract:In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for network selection. We compare three of these methods naming Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a realtime ns-3 simulation. Analytic Hierarchy Process (AHP) provides the weights of attributes which allow the comparison in different types of applications. Therefore, we propose a performance evaluation model with a reconfiguration of AHP parameters used in the literature. Simulation results show that the proposed parameters provide an improvement of Delay and offer allowable Packet loss in different types of applications.

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Performance Analysis of Ranking for QoS Handover Algorithm for Selection of Access Network in Heterogeneous Wireless Networks

Cited by 20 publications

References 23 publications

Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment

Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment

Dynamic backhaul sensitive Network Selection Scheme in LTE-WiFi wireless HetNet

Multi-Criteria Vertical Handover Comparison between Wimax and Wifi

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