Coalition Formation Game Based Access Point Selection for LTE-U and Wi-Fi Coexistence

Zhang, Yaodong; Jiang, Chunxiao; Wang, Jingjing; Han, Zhu; Yuan, Jian; Cao, Jiannong

doi:10.1109/tii.2018.2797100

Cited by 17 publications

(12 citation statements)

References 35 publications

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“…A coalition game-based framework, in a real deployment of commercial routers are used as a testbed of an LTE-U/Wi-Fi scenario. In this scenario, and with the proposed solution, the goal of users in the game is to maximize system throughput (sum of each user) [25]. Another game, which is cooperative and based on the Nash bargain, is presented in [26].…”

Section: Related Workmentioning

confidence: 99%

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Neto

Ana

et al. 2020

Sensors

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Cellular broadband Internet of Things (IoT) applications are expected to keep growing year-by-year, generating demands from high throughput services. Since some of these applications are deployed over licensed mobile networks, as long term evolution (LTE), one already common problem is faced: the scarcity of licensed spectrum to cope with the increasing demand for data rate. The LTE-Unlicensed (LTE-U) forum, aiming to tackle this problem, proposed LTE-U to operate in the 5 GHz unlicensed spectrum. However, Wi-Fi is already the consolidated technology operating in this portion of the spectrum, besides the fact that new technologies for unlicensed band need mechanisms to promote fair coexistence with the legacy ones. In this work, we extend the literature by analyzing a multi-cell LTE-U/Wi-Fi coexistence scenario, with a high interference profile and data rates targeting a cellular broadband IoT deployment. Then, we propose a centralized, coordinated reinforcement learning framework to improve LTE-U/Wi-Fi aggregate data rates. The added value of the proposed solution is assessed by a ns-3 simulator, showing improvements not only in the overall system data rate but also in average user data rate, even with the high interference of a multi-cell environment.

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Section: Related Workmentioning

confidence: 99%

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Neto

Ana

et al. 2020

Sensors

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“…Two classes of cooperative games are used in modeling wireless networks: coalition games and bargaining games. Coalition games can be used to decide on optimal collaboration strategies [24], and are applied to unlicensed spectrum interference modeling for Wi-Fi and Long Term Evolution-Unlicensed (LTE-U) coexistence in [25]. In this paper, we do not consider coalition games because they do not scale: as the non-transferable QoS of individual players must be considered, and the QoS of a coalition also depends on all other players in the system, these games require O(n n ) computations in a system with n players.…”

Section: Cooperative Gamesmentioning

confidence: 99%

Combining Cooperative With Non-Cooperative Game Theory to Model Wi-Fi Congestion in Apartment Blocks

et al. 2020

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The unlicensed spectrum utilized by Wi-Fi can be regarded as an economic commons in many deployments. Operators of Wi-Fi-enabled devices are usually non-cooperative, vying for spectral resources when in close range to each other, typically adopting a strategy of maximizing their transmission power. With an ever-growing number of wireless devices, this will ultimately lead to depletion of the spectrum, unless players collaborate. Previous studies used cooperative game theory to explore various collaboration strategies, enabled by the presence of some central authority or controller that executes an agreed-upon interference mitigation policy. However, the regulatory nature of unlicensed spectrum dictates that players cannot be forced into such collaboration. Most deployments therefore involve a mix of cooperative and non-cooperative players. In this paper, we propose a new way of modeling use cases involving a central authority or controller by combining non-cooperative and cooperative game theory. Our model uses the non-cooperative concept of Nash equilibriums as well as the cooperative concept of Nash bargaining. To the best of our knowledge, this paper is the first to propose a hybrid non-cooperative and cooperative game theoretic model for communication networks that offers the players the opportunity to strategize between non-cooperative and cooperative natures. It is successfully applied to the case of a densely-populated apartment block. The results show that, if only a subset of players joins the collaboration, most of the remaining non-joining players may obtain an SINR that is worse than what they would have obtained in the fully non-cooperative scenario; they are punished for their uncooperative behavior.

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“…To mitigate the interference between LTE-LAA and Wi-Fi, the authors in [27] proposed a coalition game-based approach by offloading part of the data traffic from LTE-LAA to a nearby WAP with the help of almost-blank-subframe (ABS). The authors in [28] proposed a coexistence mechanism between LTE-U and Wi-Fi by formulating it as an AP selection problem using a centralized coalition formation game. The proposed approach in [28] gives high priority to the SBS for accessing the unlicensed channel while WAPs can only access the channel when it is free.…”

Section: Literature Reviewmentioning

confidence: 99%

A Game-Theoretic Approach for Fair Coexistence Between LTE-U and Wi-Fi Systems

Bairagi

Tran

Saad

et al. 2019

IEEE Trans. Veh. Technol.

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LTE over unlicensed band (LTE-U) has emerged as an effective technique to overcome the challenge of spectrum scarcity. Using LTE-U along with advanced techniques such as carrier aggregation, one can boost the performance of existing cellular networks. However, if not properly managed, the use of LTE-U can potentially degrade the performance of co-existing Wi-Fi access points, which operate over the unlicensed frequency bands. Moreover, most of the existing works consider single operator in their proposals. In this paper, an effective coexistence mechanism between LTE-U and Wi-Fi systems is studied. The goal is to enable the cellular network to use LTE-U with CA to meet the quality-ofservice (QoS) needs of its users while protecting Wi-Fi access points (WAPs) for a network with multiple operators. In particular, the problem of LTE-U sum-rate maximization is addressed under user QoS and WAP-LTE-U coexistence constraints. To solve this problem, a cooperative Nash bargaining game (NBG) and a one-sided matching game are proposed. Here, the NBG solves the coexistence issue between LTE-U and Wi-Fi system, while the matching game solves the resources allocation problem in the LTE-U system. These two games repeat until convergence. Simulation results show the quality of the proposed approach over other comparing methods in terms of the per-user achieved rate, percentage of unsatisfied users, and fairness. The result also shows that the proposed approach can better protect the performance of Wi-Fi users, compared to the conventional listen-before-talk scheme.

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Coalition Formation Game Based Access Point Selection for LTE-U and Wi-Fi Coexistence

Cited by 17 publications

References 35 publications

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Combining Cooperative With Non-Cooperative Game Theory to Model Wi-Fi Congestion in Apartment Blocks

A Game-Theoretic Approach for Fair Coexistence Between LTE-U and Wi-Fi Systems

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