Evolution and Competition, a Game Theoretical Analysis of Heterogeneous Wireless Networks in Unlicensed Spectrum

Yang, Libin; Lou, Wei

doi:10.1109/access.2017.2777829

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…More concretely for Wi-Fi networks, non-cooperative game theory has been used for various optimizations and evaluations: e.g., for bandwidth sharing within a single Wi-Fi network [16], for the selection of the optimal network from a set of available Wi-Fi networks [17], for the creation of pricing schemes in order to determine the optimal network to connect to, either Wi-Fi or a competing network (e.g., mobile, WiMax) [18][19][20][21], and for reducing mobile volume usage by creating delayed offloading schemes and smart caching via Wi-Fi networks [22][23][24].…”

Section: Game Theoretical Applied To Ict Networkmentioning

confidence: 99%

Modeling the relationship between network operators and venue owners in public Wi-Fi deployment using non-cooperative game theory

Spruytte

Benhamiche

Chardy

et al. 2019

J Wireless Com Network

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Wireless data demands keep rising at a fast rate. In 2016, Cisco measured a global mobile data traffic volume of 7.2 Exabytes per month and projected a growth to 49 Exabytes per month in 2021. Wi-Fi plays an important role in this as well. Up to 60% of the total mobile traffic was off-loaded via Wi-Fi (and femtocells) in 2016. This is further expected to increase to 63% in 2021. In this publication, we look into the roll-out of public Wi-Fi networks, public meaning in a public or semi-public place (pubs, restaurants, sport stadiums, etc.). More concretely we look into the collaboration between two parties, a technical party and a venue owner, for the roll-out of a new Wi-Fi network. The technical party is interested in reducing load on its mobile network and generating additional direct revenues, while the venue owner wants to improve the attractiveness of the venue and consequentially generate additional indirect revenues. Three Wi-Fi pricing models are considered: entirely free, slow access with ads or fast access via paid access (freemium), and paid access only (premium). The technical party prefers a premium model with high direct revenues, the venue owner a free/freemium model which is attractive to its customers, meaning both parties have conflicting interests. This conflict has been modeled using non-cooperative game theory incorporating detailed cost and revenue models for all three Wi-Fi pricing models. The initial outcome of the game is a premium Wi-Fi network, which is not the optimal solution from an outsider's perspective as a freemium network yields highest total payoffs. By introducing an additional compensation scheme which corresponds with negotiation in real life, the outcome of the game is steered toward a freemium solution.

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Section: Game Theoretical Applied To Ict Networkmentioning

confidence: 99%

Modeling the relationship between network operators and venue owners in public Wi-Fi deployment using non-cooperative game theory

Spruytte

Benhamiche

Chardy

et al. 2019

J Wireless Com Network

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“…Some other papers used game theory for offloading traffic to small cells in HetNets. Yang and Lou investigated the possibility of using wireless community network as an alternative to offloading traffic from LTE cellular networks. Rimal and Maier proposed a game for mobile data offloading in fiber‐wireless (FiWi)–enhanced LTE HetNets.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…A lot of research has been done in the past to analyze the effect of coexistence of LTE‐U and WiFi in HetNets. A few of the research works is targeted toward treating the coexistence as a competition and therefore modeled using game theory . Some other papers proposed fairness‐based schemes for coexistence .…”

Section: Review Of Related Workmentioning

confidence: 99%

Hierarchical decision model for throughput maximization in D2D‐enabled LTE‐WiFi HetNets

Gbenga-Ilori

Sezgin

2018

Trans Emerging Tel Tech

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This paper proposes a hierarchical decision model for efficient and fair coexistence of Wireless Fidelity (WiFi) and heterogeneous cellular networks with device‐to‐device (D2D) communications. The first submodel is an allocation game formulated to model the data rate gain possible through the deployment of D2D communication in cellular networks. This is to guarantee that the Long‐Term Evolution (LTE) network is optimally utilized before offloading traffic to WiFi small cells. The second submodel is a Markovian model proposed as an optimal spectrum sharing scheme that guarantees efficient spectrum utilization and interference reduction in LTE‐WiFi heterogeneous networks (HetNets). Simulation results verify that the proposed decision model not only provides a more spectrum efficient sharing scheme but also shows better network throughput while ensuring fairness in spectrum access for WiFi users.

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Stimulating trust cooperation in edge services: An evolutionary tripartite game

Sun

Shen

et al. 2022

Engineering Applications of Artificial Intelligence

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Evolution and Competition, a Game Theoretical Analysis of Heterogeneous Wireless Networks in Unlicensed Spectrum

Cited by 3 publications

References 12 publications

Modeling the relationship between network operators and venue owners in public Wi-Fi deployment using non-cooperative game theory

Modeling the relationship between network operators and venue owners in public Wi-Fi deployment using non-cooperative game theory

Hierarchical decision model for throughput maximization in D2D‐enabled LTE‐WiFi HetNets

Stimulating trust cooperation in edge services: An evolutionary tripartite game

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