论文标题
FOG辅助5G网络中的负载平衡和资源分配：一种基于激励的游戏理论方法
Load Balancing and Resource Allocation in Fog-Assisted 5G Networks: An Incentive-based Game Theoretic Approach
论文作者
论文摘要
FOG辅助5G网络允许网络中的用户通过雾节节和雾节点之间的合作执行其任务和进程。结果，与独立任务执行（基本站（BS）或服务器直接涉及的独立任务执行）相比，任务执行的延迟减少了。在实际情况下，合作的能力明显取决于雾节合作的意愿。因此，在本文中，我们提出了一种基于激励的讨价还价方法，该方法鼓励雾节节点通过从合作中受益的最终用户的激励措施来进行合作。考虑到使用用户和雾节的异质性，我们的旨在根据其存储容量，能源效率等，我们的目标是强调一种公平的激励机制，该机制公平而均匀地将激励措施从用户分配到参与的FOG节点。拟议的基于激励的合作方法降低了最终用户的成本，并平衡了雾节节点的能耗。所提出的系统模型解决了上述方法，并在数学上为FOG节点和FOG辅助5G网络中的最终用户制定了成本模型。
Fog-assisted 5G Networks allow the users within the networks to execute their tasks and processes through fog nodes and cooperation among the fog nodes. As a result, the delay in task execution reduces as compared to that in case of independent task execution, where the Base Station (BS) or server is directly involved. In the practical scenario, the ability to cooperate clearly depends on the willingness of fog nodes to cooperate. Hence, in this paper, we propose an incentive-based bargaining approach which encourages the fog nodes to cooperate among themselves by receiving incentives from the end users benefitting from the cooperation. Considering the heterogenous nature of users and fog nodes based on their storage capacity, energy efficiency etc., we aim to emphasise a fair incentive mechanism which fairly and uniformly distributes the incentives from user to the participating fog nodes. The proposed incentive-based cooperative approach reduces the cost of end users as well as balances the energy consumption of fog nodes. The proposed system model addresses and models the above approaches and mathematically formulate cost models for both fog nodes and the end users in a fog-assisted 5G network.
