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Wireless multicast cost sharing game with a dynamic population

Publication Type : Conference Proceedings

Publisher : NetGCooP

Source : 2012 6th International Conference on Network Games, Control and Optimization (NetGCooP) (2012)

Url : https://ieeexplore.ieee.org/document/6486127

Keywords : distributional information, Dynamic population, equilibrium strategy, fixed cost connection, Game theory, games, HCA, highest cost allocation, ICA, incremental cost allocation, information availability structures, Multicast communication, multicast session, Nash Equilibrium, probability, radio networks, Rail to rail inputs, random arrivals, Resource management, Servers, Shapley value allocation schemes, sociology, SVA schemes, symmetric equilibria, transmission cost, wireless base station, wireless communication, wireless multicast cost sharing game

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2012

Abstract : In this paper, we study a wireless multicast cost sharing game where the population of users is dynamically changing due to random arrivals and departures. Each user can either subscribe to a dedicated (wired or wireless) connection of fixed cost or join a multicast session served by a wireless Base Station (BS). In the latter case, the instantaneous cost of transmission at any time is shared among the users that are present in the multicast session at that time. Each user, being selfish, chooses one of the two options so as to minimize its own share of cost. We characterize the symmetric equilibria with several information availability structures. With only distributional information, we obtain the probability with which a random user would join the multicast session under the Highest Cost Allocation (HCA), the Incremental Cost Allocation (ICA) and the Shapley Value Allocation (SVA) schemes. We observe that, if the the number of users in the session is made available to the users, then the equilibrium strategy of the users is to join the multicast session when at least one other user is already present and to randomize only when there is none.

Cite this Research Publication : Manoj Kumar Panda, Chahed, T., and Altman, E., “Wireless multicast cost sharing game with a dynamic population”, 2012 6th International Conference on Network Games, Control and Optimization (NetGCooP). 2012.

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