Repeated game theory as a framework for algorithm development in communication networks

Coimbra, J.; Correia, N.

doi:10.1002/dac.3043

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…Here, mobility issues and selection for N‐person cooperative game is left for future work. The use of repeated game theory for selection is explained in the study of Coimbra and Correia . In this, it is shown how repeated interaction of user with network needs to be made over time for efficient network selection.…”

Section: Related Workmentioning

confidence: 99%

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RAT selection for a low battery mobile device for future 5G networks

Adiwal

Singh

2019

Int J Communication

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Summary The growth of wireless communication toward fifth generation will lead to the existence of number of access technologies to provide seamless connectivity and form heterogeneous network environment. Earlier, there was single access technology to run applications, but 5G will have heterogeneous network environment and provide separate network for each application. As compared with 4G, 5G will provide increase in data rate, decrease in delay, increase in quality of service, and so on because of its various enabling technologies. Therefore, for each application, selection of best access network via its enabling technology is an important task. This selection is done either at user terminal side or at network operator side by combining preferences for network attributes and network parameters. In this paper, to enjoy 5G, selection is done in a heterogeneous networks environment for enabling technologies like device‐to‐device communication, spectrum sharing, enhancing quality of experience, energy efficiency, and so on. This selection is done via optimization techniques for a fixed duration video clip that is to be transmitted from a device running low in battery. The selection environment composed of UMTS, WLAN1, and WLAN2 as available networks. The simulation results show that the network selected for each enabling technology supports various features of 5G. Also, error analysis of selection results is done using confidence interval estimate at 90%, 92%, and 95% confidence level. From results obtained, it is seen that different optimization techniques used to access network for different enabling technologies (providing 5G features) prove to be useful for future 5G network.

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Section: Related Workmentioning

confidence: 99%

“…The use of repeated game theory for selection is explained in the study of Coimbra and Correia. 18 In this, it is shown how repeated interaction of user with network needs to be made over time for efficient network selection. The study of network operator's attitude towards profit is left as future work.…”

Section: Related Workmentioning

confidence: 99%

RAT selection for a low battery mobile device for future 5G networks

Adiwal

Singh

2019

Int J Communication

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“…With the development of communication networks, the network architecture is becoming increasingly complex. The phase and carrier frequency estimation of received signals is made possible by capturing weak signals, which is the first step in electronic communication networks [1][2][3]. In recent years, scientists have conducted much research on the subject of weak signal capture and have developed typical methods such as time-domain-based serial capture method, frequency-domain based parallel phase search capture method, etc.…”

Section: Introductionmentioning

confidence: 99%

Application of Electronic Communication Signal Modulation Recognition System Based on Fourier Transform

Liu,

Zhang,

Cheng

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the weighted class fractional Fourier transform is redefined by means of the weighted superposition of state functions, and the Fourier transform is applied to dissect the intrinsic relationship between the M-WFRFT and the 4-WFRFT and to obtain the weighting coefficients of the electronic communication signals. On the basis of the WFRFT discrete algorithm, the electronic communication signal is expanded to include M a term after the M -WFRFT and the hybrid carrier modulation method based on the WFRFT is given. According to the design idea of the electronic communication system, the hardware part and software part of the electronic communication system are designed, and the electronic communication signal modulation recognition system is experimentally analyzed by using the simulation experiment method. The results show that when the signal-to-noise ratio is -8dB and the optimization algorithms are the Sgd algorithm, Sgdm algorithm, and Adam algorithm, the modulation identification accuracy of OFDM signal is 39.3%, 57.5% and 43.5%, respectively, which indicates that the Sgdm optimization algorithm is the most suitable one compared with other algorithms, and it is more effective in the modulation identification of OFDM signals at low signal-to-noise ratio. The number of scans of the three-layer multi-parameter WFRFT signal by the non-cooperative party is 6.4 × 1013 times, and the increase in the number of scans leads to an increase in the cost paid by the non-cooperative party, which confirms that the secure communication system based on three-layer weighted fractional-order Fourier transform has good resistance to parameter scanning characteristics and high confidentiality. This study further improves the a priori parameter setting of the electronic communication system and enhances its complexity, resulting in better anti-interception identification features.

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“…The standard solution for such games is subgame perfect equilibrium (SPE), 29 which theoretically represents the final outcome of the game for each player involved and can be computed via a fundamental algorithm called backward induction (BI) 11 . By capturing sequential actions over time, extensive‐form games offer a mathematical tool for dynamic scenarios that can be structured as trees, for example, software evolutions, 30 cryptographic protocols, 31 and communication networks 32 …”

Section: Introductionmentioning

confidence: 99%

“…11 By capturing sequential actions over time, extensive-form games offer a mathematical tool for dynamic scenarios that can be structured as trees, for example, software evolutions, 30 cryptographic protocols, 31 and communication networks. 32 However, one issue that is quite natural but ignored in traditional game models is that decision-making usually entails resource costs, for instance, time, energy, space, and so on. In many cases, the resources available for players' actions (e.g., for searching the strategy space) are limited.…”

Section: Introductionmentioning

confidence: 99%

Exploring the effects of computational costs in extensive games via modeling and simulation

et al. 2021

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Game theory has become a standard tool for depicting and demonstrating various game‐like phenomena by providing appropriate mathematical models and for analyzing and predicting agents' behaviors and their decisions by formalizing solution concepts. The conventional game model mainly concerns ideal systems that would always guarantee optimal responses, which appears unrealistic for practical game scenarios since decision‐making usually entails resource costs. Therefore, this study considers players' decision‐making in extensive games when the computational cost of searching the strategy space is limited. We start with a new mathematical model of extensive games that features a bound on computational resources during players' decision‐making process such that they can only foresee a part of the available alternatives in the future. This model is more appropriate in predicting players' strategies than the conventional model, under which we investigate the effects of computational costs on players' strategies as well as the computational complexity. Furthermore, a simulation experiment is performed to seek the connection between the amount of resources and the goodness of the outcomes. This study is expected to provide a foundation for players' rational decision‐making with computational costs.

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Repeated game theory as a framework for algorithm development in communication networks

Cited by 3 publications

References 16 publications

RAT selection for a low battery mobile device for future 5G networks

RAT selection for a low battery mobile device for future 5G networks

Application of Electronic Communication Signal Modulation Recognition System Based on Fourier Transform

Exploring the effects of computational costs in extensive games via modeling and simulation

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