User Satisfaction Based Resource Allocation in Future Heterogeneous Wireless Networks

Toseef, Umar; Khan, Manzoor Ahmed; Görg, Carmelita; Timm‐Giel, Andreas

doi:10.1109/cnsr.2011.39

Cited by 10 publications

(7 citation statements)

References 11 publications

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“…One feasible solution of combining those factors together is utility-based approach. For example, the authors of [6] investigated on the resource allocation problem by utilizing game theory in a multi-user and heterogeneous-access scenario. In that work, multiple parameters like packet loss, packet delay and jitters etc.…”

Section: ) Simulation Models Of Multi-p Transmissions In 3gpp Ltementioning

confidence: 99%

Open Connectivity Services for future networks

Zhao¹,

Zaki²,

Udugama³

et al. 2011

2011 8th International Conference &Amp; Expo on Emerging Technologies for a Smarter World

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This presented work gives an overview on the FP7 project -SAIL, that aims at designing architectures for the Future Networks. The conceptual developments in the work package -Open Connectivity Services (OConS) is the focus of this paper. OConS is proposing an open and flexible architecture framework for handling the connectivities in current and future networks. As exemplary studies, we applied OConS architecture framework to two scenarios: (1) the Mult-P transmission of 3GPP LTE connected with WLAN; (2) the extensions of ICN (Information Centric Networks) supporting Multi-P. They show the flexibility and the openness of OConS, and the benefits expected will be e.g. higher data rates, higher resource utilization and more reliable connectivity.

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Section: ) Simulation Models Of Multi-p Transmissions In 3gpp Ltementioning

confidence: 99%

Open Connectivity Services for future networks

Zhao¹,

Zaki²,

Udugama³

et al. 2011

2011 8th International Conference &Amp; Expo on Emerging Technologies for a Smarter World

Self Cite

View full text Add to dashboard Cite

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“…Umar et al studied a user-centric quality of experience (QoE) based resource allocation with different ToS, several operators and users in [14]. They proposed a framework for future short-term user operator contractual vision with a game-theoretic approach.…”

Section: Related Workmentioning

confidence: 99%

Application-based Network Selection Algorithm in Integrated LTE-WLAN Systems

Reyhani¹

2021

Preprint

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This research focuses on an application-based network resource selection algorithm in integrated LTE-WLAN systems. First, we study the structure of the LTE/WLAN overlaid systems and then propose an approach to select the network on LTE and WLAN interfaces in a user equipment. In the study we will test network's behavior change with the change of number of new arrival nodes to our model with different quality of service (QoS) and type of service (ToS) settings when implementing the network selection algorithm in OPNET. A part of this algorithm works with fuzzy logic controller block which calculates the threshold needed for comparing data usage with the remaining free data for uplink with a cost effective aim. The procedure of calculating the threshold is also explained. This network selection algorithm, gives a better result in terms of QoS for real time applications, less delay variation for cellular network for uplink data transmission and uses the pre allocated cellular data (total data amount of download plus upload) as much as it can, avoiding extra costs.

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“…Uplink (Essaili et al, 2011;Wu et al, 2012;Condoluci et al, 2017;Liu et al, 2018;Ranjan et al, 2018) Multi-cell (Zheng et al, 2014;Cho et al, 2015;Kim et al, 2015;Miller et al, 2015) Heterogeneous networks (Toseef et al, 2011;Jailton et al, 2013;Seyedebrahimi and Peng, 2015;Morel and Randriamasy, 2017;Abbas et al, 2017) Device-to-device communications (Zhu et al, 2015a;Hong et al, 2017;Biswash and Jayakody, 2018) Vehicular networks (Xu et al, 2013;Yaacoub et al, 2015;Ding et al, 2018) Cognitive radio networks (Jiang et al, 2012;Wu et al, 2013;He et al, 2016;Zhang et al, 2017;Piran et al, 2017;Lin et al, 2017) Relay networks (Reis et al, 2010;Wu et al, 2013;Bethanabhotla et al, 2016;Xiang et al, 2017;Fan and Zhao, 2018) Multi-user MIMO networks (Cao et al, 2012;Bethanabhotla et al, 2016;Chen et al, 2017;Huang and Zhang, 2018) Base stations energy consumption (Ma et al, 2012;Li et al, 2012;Gabale and Subramanian, 2014;Draxler et al, 2014;Sapountzis et al, 2014;…”

Section: Scope Referencesmentioning

confidence: 99%

A survey on QoE-oriented wireless resources scheduling

Sousa

Queluz

Rodrigues

2020

Journal of Network and Computer Applications

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Future wireless systems are expected to provide a wide range of services to more and more users. Advanced scheduling strategies thus arise not only to perform efficient radio resource management, but also to provide fairness among the users. On the other hand, the users' perceived quality, i.e., Quality of Experience (QoE), is becoming one of the main drivers within the schedulers design. In this context, this paper starts by providing a comprehension of what is QoE and an overview of the evolution of wireless scheduling techniques. Afterwards, a survey on the most recent QoE-based scheduling strategies for wireless systems is presented, highlighting the application/service of the different approaches reported in the literature, as well as the parameters that were taken into account for QoE optimization. Therefore, this paper aims at helping readers interested in learning the basic concepts of QoE-oriented wireless resources scheduling, as well as getting in touch with its current research frontier.

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User Satisfaction Based Resource Allocation in Future Heterogeneous Wireless Networks

Cited by 10 publications

References 11 publications

Open Connectivity Services for future networks

Open Connectivity Services for future networks

Application-based Network Selection Algorithm in Integrated LTE-WLAN Systems

A survey on QoE-oriented wireless resources scheduling

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