Stackelberg Differential Game based Resource Allocation in Wireless Networks with Fog Computing

2019 ◽  
Author(s):  
Bingjie Liu ◽  
Haitao Xu ◽  
Xianwei Zhou ◽  
Zhu Han
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Differential Game ◽  
Fog Computing ◽  
Stackelberg Differential Game

scholarly journals Dynamic Priority-Based Service Resource Allocation for Context-Aware Conflict Resolution in Wisdom Network with Fog Computing

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Lin Duo ◽  
Qianqian Li ◽  
Haitao Xu ◽  
Yunhui Zhou
Keyword(s):  
Resource Allocation ◽  
Conflict Resolution ◽  
Differential Game ◽  
Optimal Allocation ◽  
Fog Computing ◽  
Context Aware ◽  
Dynamic Priority ◽  
Service Resource ◽  
Research Goal

With the development of wisdom network, this paper assumes that intelligent devices become more and more intelligent, which can easily collect and provide a variety of context awareness data. The research goal is to design a dynamic conflict resolution strategy for context-aware resource allocation. The limited availability of resources inevitably leads to conflicts. Considering the characteristics of wisdom network, the quality of service when solving conflicts, a mechanism is proposed to improve the quality of services and to solve the resources allocation conflicts. This paper constructs the optimal model of context-aware based on a differential game and optimizes the resource allocation of context-aware based on the priority of scenarios. Fog computing is used to provide enough computing resources for the control of resource allocation of context-aware. The Bellman dynamic programming is introduced to solve the feedback Nash equilibrium solution of the proposed differential game model, to obtain the optimal allocation of service resources and solve the effectiveness of resource allocation.

An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing

2021 ◽  
Vol 117 ◽  
pp. 498-509
Author(s):  
Chu-ge Wu ◽  
Wei Li ◽  
Ling Wang ◽  
Albert Y. Zomaya
Keyword(s):  
Resource Allocation ◽  
Fog Computing ◽  
Multi Objective

scholarly journals Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Lingyun Lu ◽  
Tian Wang ◽  
Wei Ni ◽  
Kai Li ◽  
Bo Gao
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
High Speed ◽  
Optimization Problem ◽  
Fog Computing ◽  
High Mobility ◽  
High Speed Train ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation ◽  
System Configurations

This paper presents a suboptimal approach for resource allocation of massive MIMO-OFDMA systems for high-speed train (HST) applications. An optimization problem is formulated to alleviate the severe Doppler effect and maximize the energy efficiency (EE) of the system. We propose to decouple the problem between the allocations of antennas, subcarriers, and transmit powers and solve the problem by carrying out the allocations separately and iteratively in an alternating manner. Fast convergence can be achieved for the proposed approach within only several iterations. Simulation results show that the proposed algorithm is superior to existing techniques in terms of system EE and throughput in different system configurations of HST applications.

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