Game-based cache allocation strategy for ICN slicing

Liping Ge,Jinhe Zhou

doi:10.1051/matecconf/202133605030

Abstract

To reduce the delay of content acquisition, this paper proposes a game-based cache allocation strategy in the Information-Centric Network (ICN) slice. The cache resource allocation of different mobile virtual network operators (MVNOs) is modeled as a non-cooperative game model. The Newton iterative method is used to solve this problem, and the cache space allocated by the base station for each MVNO is obtained. Finally, the Nash equilibrium solution is obtained. Simulation results show that the proposed algorithm can reduce the delay.

Highlights

The traditional IP addressing method is inefficient for users[1]
There are still many problems in the deployment of Information-Centric Network (ICN). 5G architecture has key technologies such as Network Function Virtualization (NFV), network slicing and so on. 5G network implements and maintains an end-to-end network slice instance according to the service requirements and network status[4]
mobile virtual network operators (MVNOs) cache allocation in slice is modeled as a non-cooperative game model

Summary

Introduction

The traditional IP addressing method is inefficient for users[1]. In the 5G scenario, slicing can meet the requirements of low delay, high reliability and enough bandwidth. ICN technology realizes name-address separation, which can reduce latency, improve resource utilization and cache hit ratio [2]. ICN technology can effectively reduce data transmission delay by caching it near user groups with social relations[3]. H. Jin et al [7] introduces an Information-Centric virtual content network(IVCN) slicing framework. The question of how to deploy ICN in the network has been studied above, but the research on deploying cache in a slice is still lacking. Deployment of cache resources in network slicing can improve content delivery and end-user experience quality [8]. ICN technology can be implemented by slicing and supports cache function, and the game algorithms can solve the effective allocation of cache resources

Game model of ICN

Game construction

Game optimization

Algorithm solution

Simulation results and analysis

Conclusion