Two-Phase Wireless Bandwidth Allocation Scheme Based on Cooperative Game Solutions

Remarkable advancements in embedded systems-on-a-chip have significantly increased the number of smart devices that can operate some applications interactively and autonomously. Several technologies relevant to the expansion of smart mobile devices have emerged, including Edge of Things (EoT), social networks, cloud computing services, and the fifth generation wireless systems. With increasing demands for EoT computation services, wireless bandwidth is a particularly scare resource. Therefore, strategic resource allocation method is necessary. In this study, we present a cloud-supported EoT service architecture to efficiently maximize the EoT system performance. To provide an effective solution toward the appropriate system operation, we focus on two cooperative game solutions – weighted Kalai-Smorodinsky bargaining solution and interval Shapley Value. They are effective tools to achieve a mutually desirable solution with a good balance between efficiency and fairness. The primary advantage of our cooperative game approach is to provide an axiom based fair-efficient control solution for the bandwidth allocation problem while dynamically responding to the current EoT system environments. Simulation analysis and experimental results indicate that our proposed scheme can effectively allocate the limited system resource while comparing with other popular protocols. Finally, several research challenges are discussed and open issues are also outlined.