Basic Theory and Application of Collaborative Optimization of Heterogeneous Information Networks
Author：Wang Jingjing Time：December 1, 2021 Number of clicks：
About This Book：
This book studies the interrelationship and synergy mechanism among resources, users, and information in heterogeneous information networks, as well as the qualitative and quantitative relationships that affect the overall performance of the network, breaking the traditional research idea of "from network to information". Taking the collaborative optimization of network and resources, users, and information as the main line, focusing on improving the overall information support capability of the future network, taking into account the synchronous evolution of the network, the environment, users, and services, it is the original innovation theory for exploring the transformative development of the future network. The research content has both theoretical significance and practical value.
Aiming at the problem of co-configuration of heterogeneous network resources, this book proposes a cognitive heterogeneous network transmission resource co-configuration mechanism based on partially observable Markov decision-making and a space-time-frequency resource co-configuration strategy based on iterative optimization, which improves the spectrum of the system. Efficiency ensures the quality of service and experience of users; for the collaborative access problem of users in heterogeneous information networks, a multi-armed bandit machine decision-based collaborative user access method is proposed, which fully considers the deployment topology of access points and neighbor information interaction The influence of the network effectively reduces the mutual interference of users and improves the network throughput; for the problem of cooperative diffusion of information in complex heterogeneous networks, the cooperative correlation mechanism between topology characteristics and information transmission in the network is explored, and the information acquisition and network based on complex system theory is proposed. The diffusion mechanism improves the efficiency of network information transmission.
