Game theoretical techniques have recently become prevalent in many engineering applications, nota... more Game theoretical techniques have recently become prevalent in many engineering applications, notably in communications. With the emergence of cooperation as a new communication paradigm, and the need for self-organizing, decentralized, and autonomic networks, it has become imperative to seek suitable game theoretical tools that allow to analyze and study the behavior and interactions of the nodes in future communication networks. In this context, this tutorial introduces the concepts of cooperative game theory, namely coalitional games, and their potential applications in communication and wireless networks. For this purpose, we classify coalitional games into three categories: Canonical coalitional games, coalition formation games, and coalitional graph games. This new classification represents an application-oriented approach for understanding and analyzing coalitional games. For each class of coalitional games, we present the fundamental components, introduce the key properties, mathematical techniques, and solution concepts, and describe the methodologies for applying these games in several applications drawn from the state-of-the-art research in communications. In a nutshell, this article constitutes a unified treatment of coalitional game theory tailored to the demands of communications and network engineers.
One of the challenges for the 5th generation of mobile cellular networks is the energy consumptio... more One of the challenges for the 5th generation of mobile cellular networks is the energy consumption efficiency. In this paper we propose an optimization algorithm that maximizes the energy efficiency. We apply the proposed optimization algorithm for both indoor-and outdoor users. The energy efficiency optimization is carried under various network conditions such as maximizing the bit rate, minimizing the transmit power and minimizing the interference. We use the dual decomposition technique to find the optimal solution in terms of energy efficiency, under the condition for optimal power allocation. Our results reveal an increase in terms of energy efficiency by applying our algorithm. Furthermore they show a higher energy efficiency achieved under the dynamic power allocation compared to a static power allocation.
Game theoretical techniques have recently become prevalent in many engineering applications, nota... more Game theoretical techniques have recently become prevalent in many engineering applications, notably in communications. With the emergence of cooperation as a new communication paradigm, and the need for self-organizing, decentralized, and autonomic networks, it has become imperative to seek suitable game theoretical tools that allow to analyze and study the behavior and interactions of the nodes in future communication networks. In this context, this tutorial introduces the concepts of cooperative game theory, namely coalitional games, and their potential applications in communication and wireless networks. For this purpose, we classify coalitional games into three categories: Canonical coalitional games, coalition formation games, and coalitional graph games. This new classification represents an application-oriented approach for understanding and analyzing coalitional games. For each class of coalitional games, we present the fundamental components, introduce the key properties, mathematical techniques, and solution concepts, and describe the methodologies for applying these games in several applications drawn from the state-of-the-art research in communications. In a nutshell, this article constitutes a unified treatment of coalitional game theory tailored to the demands of communications and network engineers.
One of the challenges for the 5th generation of mobile cellular networks is the energy consumptio... more One of the challenges for the 5th generation of mobile cellular networks is the energy consumption efficiency. In this paper we propose an optimization algorithm that maximizes the energy efficiency. We apply the proposed optimization algorithm for both indoor-and outdoor users. The energy efficiency optimization is carried under various network conditions such as maximizing the bit rate, minimizing the transmit power and minimizing the interference. We use the dual decomposition technique to find the optimal solution in terms of energy efficiency, under the condition for optimal power allocation. Our results reveal an increase in terms of energy efficiency by applying our algorithm. Furthermore they show a higher energy efficiency achieved under the dynamic power allocation compared to a static power allocation.
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