A survey on game theory applications in wireless networks

Charilas, Dimitris E.; Panagopoulos, Athanasios D.

doi:10.1016/j.comnet.2010.06.020

Cited by 181 publications

(80 citation statements)

References 27 publications

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“…where w j is the weight value of position obtained by the weighting method of the normal distribution [11], d j is the jth largest data in a set {nψ 1 a 1 , nψ 2 a 2 , · · · , nψ n a n }, n is a balance factor, ψ j is the weight value of the nth property value obtained by analytic hierarchy process (AHP) algorithm, a n is the nth property value. The payoff function of all heterogeneous access networks is defined as follows.…”

Section: The Handover Decision Algorithmmentioning

confidence: 99%

An improved consumer goods market model-based vertical handoff decision algorithm

Liu

Yang

Wang

et al. 2012

IEICE Electron. Express

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Seamless mobility support in a heterogeneous roaming environment is one of several challenging issues for next-generation wireless network, and handoff decision is an important and intelligent part of seamless handoff process. In this paper, an improved game theorybased vertical handoff decision algorithm is presented. The proposed algorithm formulates the relationship between mobile nodes and heterogeneous access networks as a special consumer goods market model, and formulates the relationship among candidate access networks as cooperative game process. The simulation experimental results show that the proposed network selection algorithm is able to achieve the load balancing well, and make the networks obtain larger payoff.

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Section: The Handover Decision Algorithmmentioning

confidence: 99%

An improved consumer goods market model-based vertical handoff decision algorithm

Liu

Yang

Wang

et al. 2012

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…Although there are some existing materials and resources presenting the applications of game theory in wireless networks such as [1], [2], there exists no survey specifically for the repeated game models developed for wireless networks. This motivates us to deliver the survey with the objective to provide the necessary and fundamental information about repeated game models in wireless networks.…”

Section: Introductionmentioning

confidence: 99%

Applications of Repeated Games in Wireless Networks: A Survey

Hoang

Niyato

et al. 2015

IEEE Commun. Surv. Tutorials

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Abstract-A repeated game is an effective tool to model interactions and conflicts for players aiming to achieve their objectives in a long-term basis. Contrary to static noncooperative games that model an interaction among players in only one period, in repeated games, interactions of players repeat for multiple periods; and thus the players become aware of other players' past behaviors and their future benefits, and will adapt their behavior accordingly. In wireless networks, conflicts among wireless nodes can lead to selfish behaviors, resulting in poor network performances and detrimental individual payoffs. In this paper, we survey the applications of repeated games in different wireless networks. The main goal is to demonstrate the use of repeated games to encourage wireless nodes to cooperate, thereby improving network performances and avoiding network disruption due to selfish behaviors. Furthermore, various problems in wireless networks and variations of repeated game models together with the corresponding solutions are discussed in this survey. Finally, we outline some open issues and future research directions.

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“…Database driven (e.g., geo-location database) [37], [79] + Provides accurate information regarding spectrum availability across the network + Reliable interference protection for sharing players + Can be an unbiased entity for fair spectrum allocation among sharing players -T oo complex for real-time spectrum opportunity detection -Requires additional infrastructure for deployment such as backhaul -Requires a third party to manage the sharing procedure -Imposes excess signalling overhead to the network/participating systems -Vulnerable to jamming attacks Spectrum broker/ Super resource scheduler [83], [84] Distributed Spectrum sensing (e.g., energy detection) [61], [37] , [33], + Is capable for on-demand and real-time spectrum opportunity detection + No additional infrastructure is required + Only target UE is involved to perform sensing, thus, lower signalling is imposed to the network -Is vulnerable to some issues such hidden node, false alarm and detection -Is not reliable for QoS sensitive services when sensing is performed by UE Coordinated Beamforming [85], [86] + Simultaneous utilisation of spectrum by multiple service providers + Increased spectrum utilisation efficiency -Requires CSI sharing between sharing players -Requires interface (such as backhaul, X2, etc.) between sharing players Game-T heory based coordination [87], [88], [89] + Low to no, information sharing between sharing players during sharing procedure + Low to no overhead is imposed to the network -Implementation complexities -Low fairness guarantees between sharing players…”

Section: Centralisedmentioning

confidence: 99%

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

184

118

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The ongoing development of mobile communication networks to support a wide range of superfast broadband services has led to massive capacity demand. This problem is expected to be a significant concern during the deployment of the 5G wireless networks. The demand for additional spectrum to accommodate mobile services supporting higher data rates and having lower latency requirements, as well as the need to provide ubiquitous connectivity with the advent of the Internet of Things (IoT) sector, is likely to considerably exceed the supply, based on the current policy of exclusive spectrum allocation to mobile cellular systems. Hence, the imminent spectrum shortage has introduced a new impetus to identify practical solutions to make the most efficient use of the scarce licensed bands in a shared manner. Recently, the concept of dynamic spectrum sharing has received considerable attention from regulatory bodies and governments globally, as it could potentially open new opportunities for mobile operators to exploit spectrum bands whenever they are underutilised by their owners, subject to service level agreements. Although various sharing paradigms have been proposed and discussed, the impact and performance gains of different schemes can be scenario-specific and vary depending on the nature of the sharing parties, the level of sharing and spectrum access scheme. In this survey, we describe the main concepts of dynamic spectrum sharing, different sharing scenarios, as well as the major challenges associated with sharing licensed bands. Finally, we conclude this survey paper with open research challenges and suggest some future research directions

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A survey on game theory applications in wireless networks

Cited by 181 publications

References 27 publications

An improved consumer goods market model-based vertical handoff decision algorithm

An improved consumer goods market model-based vertical handoff decision algorithm

Applications of Repeated Games in Wireless Networks: A Survey

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

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