On WiFi Offloading in Heterogeneous Networks: Various Incentives and Trade-off Strategies

He, Yejun; Chen, Man; Ge, Baohong; Guizani, Mohsen

doi:10.1109/comst.2016.2558191

Cited by 75 publications

(38 citation statements)

References 159 publications

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“…carrier Wi-Fi (i.e. integration of Wi-Fi into the 3GPP cellular networks for data offloading purposes [69], [70]); standardization of LAA-LTE operating in the 5 GHz unlicensed band for capacity increase; and NB-IoT in LTE Advanced Pro (i.e. Release 13) for supporting device-to-device (D2D) IoT applications.…”

Section: E Constraints Of Business Models and Social Practices At Lamentioning

confidence: 99%

Survey of Spectrum Sharing for Inter-Technology Coexistence

Voicu

Simić

Petrova

2019

IEEE Commun. Surv. Tutorials

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Increasing capacity demands in emerging wireless technologies are expected to be met by network densification and spectrum bands open to multiple technologies. These will, in turn, increase the level of interference and also result in more complex inter-technology interactions, which will need to be managed through spectrum sharing mechanisms. Consequently, novel spectrum sharing mechanisms should be designed to allow spectrum access for multiple technologies, while efficiently utilizing the spectrum resources overall. Importantly, it is not trivial to design such efficient mechanisms, not only due to technical aspects, but also due to regulatory and business model constraints. In this survey we address spectrum sharing mechanisms for wireless inter-technology coexistence by means of a technology circle that incorporates in a unified, system-level view the technical and nontechnical aspects. We thus systematically explore the spectrum sharing design space consisting of parameters at different layers. Using this framework, we present a literature review on intertechnology coexistence with a focus on wireless technologies with equal spectrum access rights, i.e. (i) primary/primary, (ii) secondary/secondary, and (iii) technologies operating in a spectrum commons. Moreover, we reflect on our literature review to identify possible spectrum sharing design solutions and performance evaluation approaches useful for future coexistence cases. Finally, we discuss spectrum sharing design challenges and suggest future research directions.

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Section: E Constraints Of Business Models and Social Practices At Lamentioning

confidence: 99%

Survey of Spectrum Sharing for Inter-Technology Coexistence

Voicu

Simić

Petrova

2019

IEEE Commun. Surv. Tutorials

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“…The family of IEEE 802.11 standards, commonly known as Wi-Fi, has been widely used in residential, commercial and industrial environments as well as on various devices, including access points (APs), mobile phones, laptops and TVs, etc. There is an ever increasing demand for higher capacity, higher data rate and higher throughput, and this is accelerated by recently emerging bandwidth hungry applications such as online gaming, high-definition multimedia streaming, Internet of Things (IoT) [1] and mobile data offloading [2]. At the same time, emerging dense WLAN scenarios, such as stadiums and public transportations, require the deployment of many APs in close range of each other in a bid to offer sufficient services to many stations (STA).…”

Section: Introductionmentioning

confidence: 99%

Building SDN Agent for Wireless Local Area Networks

Beach

Nejabati

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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Recently, a lot of research is focused on applying Software-Defined Networking (SDN) concepts on wireless networks. However, the current wireless systems are lack of SDN support and remain closed and (mostly) proprietary, which makes it difficult to integrate with SDN systems. The SDN agent is introduced to solve the above issues. An SDN agent is a software element bridging the SDN controller and any legacy wireless network elements (NEs) by providing the abstraction of these elements. The main advantage of this approach is that there is no modification to either the existing SDN elements or the 802.11 protocols, while the SDN controller is enabled to control and manage legacy wireless NEs. In this paper, we present an SDN agent framework for WLANs and describe an implementation of the proposed agent on the Wireless Open-Access Research Platform (WARP), an FPGA based open source Software-Defined Radio (SDR) platform. With the support from such an agent, innovative applications and functionalities can be developed for the WLAN access points (APs), such as dynamically slicing AP bandwidth among users and adapting the transmit power in flexible granularity, i.e. at per frame/per flow level.

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“…With rapid development of wireless communication technology, users' demands for communication businesses have shifted to diversity, personalization, and broad bands, which require the integration and collaboration of many wireless networks in providing users high-quality personalized services at any time and place [1,2]. Increasing the utilization of network resources and providing users the best network access selection and the best service quality in heterogeneous wireless network environment have thus become important research topics [3,4].…”

Section: Introductionmentioning

confidence: 99%

Network Access Selection Algorithm Based on Balanced Profits between Users and Network

Chen

Juanping

Yuan

et al. 2019

Wireless Communications and Mobile Computing

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A network access selection algorithm based on the intuitionistic fuzzy analytic hierarchy process (AHP) and bilateral profit drive is proposed in this study for addressing problems regarding user–network bilateral profits. User preference, business demands, and network parameter changes are comprehensively considered in the algorithm. First, the initial weights centered at users are gained by intuitionistic fuzzy AHP. Second, the network participates in network access selection as a subject with competitive consciousness, and the entire selection process is transformed into a multiobjective optimization problem by the construction of a competitive model, thereby obtaining dynamic competitive weights. Third, the initial weights centered at users and the dynamic competitive weights are combined to obtain comprehensive weights. In this way, the dynamic adjustment of comprehensive weights is realized. Finally, candidate networks are ordered according to a comprehensive performance evaluation, and the optimal one is selected. The proposed algorithm is validated by simulation results to be valid in reducing the blocking rate of networks and optimizing network resource allocation. Therefore, it not only protects user–network bilateral profits but also maximizes comprehensive profits.

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On WiFi Offloading in Heterogeneous Networks: Various Incentives and Trade-off Strategies

Cited by 75 publications

References 159 publications

Survey of Spectrum Sharing for Inter-Technology Coexistence

Survey of Spectrum Sharing for Inter-Technology Coexistence

Building SDN Agent for Wireless Local Area Networks

Network Access Selection Algorithm Based on Balanced Profits between Users and Network

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