3,190 research outputs found
Applications of Repeated Games in Wireless Networks: A Survey
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.Comment: 32 pages, 15 figures, 5 tables, 168 reference
Analysis of dynamic spectrum leasing for coded Bi-directional communication
In this paper, we aim to present a cooperative relaying based two way wireless communication scheme which can provide both spectral and energy efficiency in future wireless networks. To this end, we propose a novel network coding based Dynamic Spectrum Leasing (DSL) technique in which the cognitive secondary users cooperatively relay the primary data for two-way primary communication. In exchange for the relaying services, the primary grants exclusive access to the secondary users for their own activity. We model the random geometry of the ad hoc secondary users using a Poisson point process. We devise a game theoretic framework for the division of leasing time between the primary cooperation and secondary activity phases. We demonstrate that under these considerations and employing network coding, DSL can improve the number of bits that are successfully transmitted by 54% as compared to un-coded direct two way primary communication. Also the energy costs of the proposed DSL scheme are more than 10 times lower. Employing DSL also enables the cognitive users to get reasonable time for their own transmission after increasing the primary spectral and energy efficiency
Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory
Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization
Hierarchical Cooperation for Operator-Controlled Device-to-Device Communications: A Layered Coalitional Game Approach
Device-to-Device (D2D) communications, which allow direct communication among
mobile devices, have been proposed as an enabler of local services in 3GPP
LTE-Advanced (LTE-A) cellular networks. This work investigates a hierarchical
LTE-A network framework consisting of multiple D2D operators at the upper layer
and a group of devices at the lower layer. We propose a cooperative model that
allows the operators to improve their utility in terms of revenue by sharing
their devices, and the devices to improve their payoff in terms of end-to-end
throughput by collaboratively performing multi-path routing. To help
understanding the interaction among operators and devices, we present a
game-theoretic framework to model the cooperation behavior, and further, we
propose a layered coalitional game (LCG) to address the decision making
problems among them. Specifically, the cooperation of operators is modeled as
an overlapping coalition formation game (CFG) in a partition form, in which
operators should form a stable coalitional structure. Moreover, the cooperation
of devices is modeled as a coalitional graphical game (CGG), in which devices
establish links among each other to form a stable network structure for
multi-path routing.We adopt the extended recursive core, and Nash network, as
the stability concept for the proposed CFG and CGG, respectively. Numerical
results demonstrate that the proposed LCG yields notable gains compared to both
the non-cooperative case and a LCG variant and achieves good convergence speed.Comment: IEEE Wireless Communications and Networking Conference 201
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