A survey of QoS/QoE mechanisms in heterogeneous wireless networks

Ernst, Jason; Kremer, Stefan C.; Rodrigues, Joel J. P. C.

doi:10.1016/j.phycom.2014.04.009

Cited by 34 publications

(14 citation statements)

References 30 publications

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“…Consequently, user's traffic module (i.e., classes of service, service types) must be well thought-out in the handoff decision. Intended for the traffic classes, we track the four QoS classes of network applications distinct by UMTS [21]. They are informal class, streaming, interactive class and background class.…”

Section: A the First Step: Quick Evaluation Methods For The Pre-handomentioning

confidence: 99%

Statistical Quality of Service to Increase Qos/Qoe of IP-Based Gateway for Integrating Heterogeneous Wireless Devices

Arivanantham¹,

Ramakrishnan²

2016

ijacsa

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Abstract-In broadcast service area above communications supported cellular wireless networks, data is communicated to several addressees from a right of entry point/base station. Multicast significantly progresses the network effectiveness to dispense data to multiple addressees as associated to multiple unicast gatherings of the similar data to each receiver independently, by taking improvement of the communal nature of the wireless intermediate. These algorithms need to be intended to be responsible for the essential Quality of Service (QoS) towards an extensive assortment of applications while permitting seamless roaming between multitudes of access network technologies. This paper proposed a cellular-aided mobile ad hoc network (CAMA) structural design, in which a CAMA representative in the cellular network accomplishes the control data, while the data is transported over the mobile terminals (MTs). The routing and security info is substituted among MTs and the negotiator over cellular radio channels. A location centered routing protocol, the multi-selection greedy positioning routing (MSGPR) protocol, is projected. This novel feature makes it more appropriate in the actual world. In accumulation, dynamic new call blocking possibility is initially familiarized to make handoff decision for wireless networks. This paper proposes a novel technique to afford QoS sustenance by means of an assistant network to recuperate the failure of multicast data in the major network. A wireless device might misplace some of the multicast records send above the major network. The experiment results have exposed that the proposed algorithm outclasses traditional algorithms in bandwidth deployment, handoff dropping rate and handoff rate.

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Section: A the First Step: Quick Evaluation Methods For The Pre-handomentioning

confidence: 99%

Statistical Quality of Service to Increase Qos/Qoe of IP-Based Gateway for Integrating Heterogeneous Wireless Devices

Arivanantham¹,

Ramakrishnan²

2016

ijacsa

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“…However, a method focused only on the network has its limits and QoS is just the first step. It cannot assess the quality as actually perceived by users [15]. Simply, in an all-IP world, the sum of the quality of each component is not equal to the quality of the sum.…”

Section: Related Workmentioning

confidence: 99%

“…In addition to wired networks, the evolution of wireless network has led to deployment of various wireless technologies, namely cellular networks (4G), Wireless Local Area Network (IEEE 802.11), Digital Video Broadcasting, or Broadband Wireless Communication (IEEE 802. 16). …”

Section: Introductionmentioning

confidence: 99%

QoE-Fuzzy VHO Approach for Heterogeneous Wireless Networks (HWNs)

Zineb¹,

Ayadi²,

Tabbane³

2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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Different wireless technologies are assumed to cooperate in a single heterogeneous environment in future network deployment schemes. Such environment is characterized by a multitude of new services based on multimedia services like gaming and real time video streaming. When dealing with video services, traditional QoS solutions are not sufficient for ensuring video awareness and good user's perception. Quality of Experience (QoE) management approach have been introduced to estimate the quality level of multimedia services. In an heterogeneous environment every user can switch between many networks during his communication in a vertical handover (VHO) process and QoS may decrease as well as the video quality. That is why, maintaining the requested QoS and keeping a satisfying QoE during a VHO process is the main goal for HWNs.In this paper, we proposes a QoE-fuzzy vertical handover algorithm with QoS management and QoE decision. Simulation results of the proposed system show performances improvement for throughput and delays.

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“…This recent concept called QoE is introduced in [19] and [22]. The QoE is an essential indicator for network evaluation, especially with multimedia applications.…”

Section: Related Workmentioning

confidence: 99%

“…In[19], the authors present a deep review of different studies of QoS/QoE in HWNs. The authors classify these works according to function within an HWN.…”

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confidence: 99%