Inter-operator spectrum sharing for cellular networks using game theory

Kamal, H.; Coupechoux, Marceau; Godlewski, Philippe

doi:10.1109/pimrc.2009.5450124

Cited by 64 publications

(51 citation statements)

References 12 publications

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“…In this regard, various inter-operator spectrum sharing scenarios have been proposed and discussed in the literature. However, due to the business concerns and lack of strong evidence in favour of sharing and associated gains, the MNOs have not shown willingness to proceed for the practical deployment so far [11], [113]. The upcoming demand for more capacity, and on the other hand, the potential role of spectrum sharing towards addressing the problem of underutilisation of the licensed bands in future cellular systems, have resulted in increasing interest in the investigation of inter-operator spectrum sharing schemes for the real-world deployment.…”

Section: Inter-operator Sharing Scenarios and Related Workmentioning

confidence: 99%

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

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

187

119

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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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Section: Inter-operator Sharing Scenarios and Related Workmentioning

confidence: 99%

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

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

187

119

View full text Add to dashboard Cite

show abstract

“…Thus, the objective function of problem (6) is a generalized proportional fairness objective [20], [23]. 8 Efficient utilization of the common spectrum pool can be obtained by maximizing the social welfare objective ∑ n∈N U n, without regards to the spectrum prices {qn} n∈N because the payment will be canceled out. However, the maximization of the social welfare objective may not ensure the fairness in operator profits.…”

Section: Dynamic Algorithm Via Lyapunov Optimizationmentioning

confidence: 99%

Inter-operator dynamic spectrum sharing: A stochastic optimization approach

Joshi

Manosha

Codreanu

2017

2017 13th Annual Conference on Wireless on-Demand Network Systems and Services (WONS)

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Abstract-The problem of spectrum sharing between two operators in a dynamic network is considered. We allow both operators to share (a fraction of) their licensed spectrum band with each other by forming a common spectrum band. The objective is to maximize the gain in profits of both operators by sharing their licensed spectrum bands rather than using them exclusively, while considering the fairness among the operators. We use the notion of cooperative games, and model this problem as a two-person bargaining problem. The bargaining problem is cast as a stochastic optimization problem, which can be solved by using the elegant theory of Lyapunov optimization.

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“…Note that the above system of equations does not accept a closed-form solution but it is straightforward to solve numerically. Also, from equations (7,8) one can deduce that θ A,k > λ A,k ∀k. In the Appendix, we show that the solution satisfying the first-order conditions and the constraint satisfies ∼ U A > 0.…”

Section: The Optimization Problem For Identifying the Decision Threshmentioning

confidence: 99%

Co-primary inter-operator spectrum sharing over a limited spectrum pool using repeated games

Singh¹,

Koufos²,

Tirkkonen³

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-We consider two small cell operators deployed in the same geographical area, sharing spectrum resources from a common pool. A method is investigated to coordinate the utilization of the spectrum pool without monetary transactions and without revealing operator-specific information to other parties. For this, we construct a protocol based on asking and receiving spectrum usage favors by the operators, and keeping a book of the favors. A spectrum usage favor is exchanged between the operators if one is asking for a permission to use some of the resources from the pool on an exclusive basis, and the other is willing to accept that. As a result, the proposed method does not force an operator to take action. An operator with a high load may take spectrum usage favors from an operator that has few users to serve, and it is likely to return these favors in the future to show a cooperative spirit and maintain reciprocity. We formulate the interactions between the operators as a repeated game and determine rules to decide whether to ask or grant a favor at each stage game. We illustrate that under frequent network load variations, which are expected to be prominent in small cell deployments, both operators can attain higher user rates as compared to the case of no coordination of the resource utilization.Keywords-Co-primary spectrum sharing, repeated games, spectrum pooling. I. INTRODUCTIONIn the state-of-art mobile communication systems, a network operator possesses a spectrum license that provides exclusive transmission rights for a particular range of radio frequencies. Spectrum assignment based on dedicated licenses resolves the issues related to inter-operator interference but it also results in low spectrum utilization efficiency. Inter-operator spectrum sharing is envisioned as one of the viable approaches to achieve higher operational bandwidth efficiency and meet the increasing mobile data traffic demand in a timely manner [1].In the limited spectrum pool (LSP) scenario, a limited number of operators share a common resource pool by relying on more flexible and adaptive prioritization policies than is currently possible with dedicated licenses [2]. Cognitive radio technologies are effective measures to resolve the sharing conflicts over the LSP under vertical spectrum sharing [3], where the lessor (owner) operator has higher legacy rights over the spectrum than the lessee operator. On the other hand, the co-primary or horizontal spectrum sharing scheme conceptualizes the case where authorized operators possess equal ownership on the spectrum being adopted [4]. However, a priori agreements should be made on the spectrum usage with regard to the long term share of an individual operator.The multilateral use of shared resources in the LSP can, for instance, be achieved with channel allocation schemes originally developed for single-operator systems. These schemes

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Inter-operator spectrum sharing for cellular networks using game theory

Cited by 64 publications

References 12 publications

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

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

Inter-operator dynamic spectrum sharing: A stochastic optimization approach

Co-primary inter-operator spectrum sharing over a limited spectrum pool using repeated games

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