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Aumann in [43] and Bernheim et al. [44] introduce a stronger notion of Nash equilibria based on coalitional game theory.
This paper described a computationally inexpensive centralized algorithm based on coalitional game theory to address the issue of fair optimal resource allocation (in terms of subcarrier assignment and power control) for the uplink of an infrastructure OFDMA wireless network.
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To study its performance, Normal Collaborative Spectrum Sensing (NCSS) based on coalitional games is designed and implemented in Wireless Open-Access Research Platform.
The authors propose an approach based on coalitional graph game.
In this subsection, we propose a distributed cluster-forming algorithm based on the coalitional graph game framework.
We compare the optimal solution through cluster method OP with our proposed modified distributed algorithm based on the coalitional graph game framework.
Based on the coalitional graph game framework, a distributed algorithm with low computational complexity is proposed to solve the formulated problem for physical layer network coding-aided D2D communication.
After presenting the system model and proposing the coalitional graph game framework in Section 2, we formulate the optimization problem for PNC-aided D2D communication in Section 3, in which the distributed algorithm based on the coalitional graph game framework is also proposed.
We proposed a taxonomy of games based on these three game representation types.
We present an empirical study based on the game development of 815 video games and the careers of 28,426 video game developers who were involved in the development of games released between 1999 and 2009.
Also, [24] presents a resource allocation based on cooperative game.
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