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5. Intelligent Mobile Edge Caching for Popular Contents in Vehicular Cloud Toward 6G.

Author

Liu, Peng, Zhang, Yifan, Fu, Tingting, and Hu, Jia

Subjects
INTELLIGENT transportation systems, SUBMILLIMETER waves, MILLIMETER waves, POWER resources, MARKOV processes, CITIES & towns
Abstract

Although vehicles are the most commonly used means of transportation in our daily lives, their computational power and memory resources are often ignored. The new paradigm, Internet of Vehicles, has turned on-road vehicles into intelligent service providers, making full use of on-board processing and storage capabilities. With the advent of 6 G technology, e.g., millimeter wave and terahertz, fast and massive data transfers become possible between moving objects. In this paper, we consider a scenario where vehicles act as mobile edge caching nodes and form a local cloud, to provide popular contents for nearby users via 6 G communication. To maximize the efficiency of content allocation under the limitation of short communication range, we first predict the driving trajectories of vehicles with a Markov chain model and estimate the popularity level of contents in each urban area. Next, we design a scoring system based on the above predictions to compare users’ satisfaction and computational efficiency of different algorithms. Finally, we find a subset of vehicles with appropriate content to serve the demand in the area. The simulation experiments demonstrate that the proposed scheme outperforms the conventional methods by providing a cost-efficient content allocation solution with lower delay. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Stability analysis of networked time-delay fuzzy systems with data dropout and quantization based on non-pdc and a novel piecewise Lyapunov function

Author

Fu Tingting, Xiaoming Tang, and Jimin Yu

Subjects
0209 industrial biotechnology, Mathematical optimization, Logarithm, Stochastic process, 02 engineering and technology, Fuzzy control system, Networked control system, Nonlinear system, Quantization (physics), 020901 industrial engineering & automation, Rate of convergence, Computer Science::Systems and Control, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Symmetric matrix, 020201 artificial intelligence & image processing, Mathematics
Abstract

In this paper, the problem of stabilization for networked stochastic time-delay systems with data dropout and control input quantization is studied. The plant in the networked control system (NCS) under consideration is a nonlinear discrete time-delay stochastic system represented by a Takagi-Sugeno (T-S) fuzzy model. Control input is quantized by a class of logarithmic quantizers, which are represented by the sector-bound method. By using piecewise quadratic Lyapunov function (PQLF), the stabilization criteria of the NCS are developed. Non-parallel distributed compensation (Non-PDC) controller with convergence rate constraint is designed by solving a set of linear matrix inequalities (LMIs). A practical example is provided to illustrate the effectiveness of the proposed method.

Published
2017
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