Abstract
The deployment of cache and computing resources in 5G mobile communication networks is considered as an important way to reduce network transmission delay and redundant content transmission and improve the efficiency of content distribution and network computing processing capacity, which has been widely concerned and recognized by academia and industry. Aiming at the development trend of cache and computing resource allocation in 5G mobile communication networks, in order to improve the efficiency of content cache and reduce network energy consumption, a 5G network cache optimization strategy based on Stackelberg game was proposed, which modeled network operators and content providers as multimaster and multislave Stackelberg game model. Providers buy base station storage space from network operators to cache popular content. In this paper, we construct the strategy space and profit function of the two sides of the game and prove the existence of Nash equilibrium solution among content providers given a set of base station rental prices of network operators. In this paper, distributed iterative algorithm is used to solve the game model, and the optimal base station pricing of network operators and the optimal base station occupancy rate of content providers are obtained.
Highlights
The network caching strategy reduces the user’s request waiting time and content sending waiting time by caching the content of the content provider to the caching node or base station of the 5G network in advance, reduces the sending energy consumption in the network, and improves the experience quality of network users [1]
In view of the above problems, this chapter uses the Stackelberg game method to model and analyze the content caching process of 5G network and comprehensively considers the popularity of content, user preferences, cache hit rate, etc. and puts forward an optimization strategy of 5G network caching based on Stackelberg game, which is used for network content caching and provides users with high-quality network services
It is mainly responsible for the terminal access function of 5G network, and the base stations of network operators are distributed in the layer of wireless access network
Summary
The network caching strategy reduces the user’s request waiting time and content sending waiting time by caching the content of the content provider to the caching node or base station of the 5G network in advance, reduces the sending energy consumption in the network, and improves the experience quality of network users [1]. (1) It can reduce the demand of nodes for backhaul links, so it can increase the deployment density of nodes and improve spectrum utilization and network throughput (2) Hot data can be cached in advance in the cache node to balance the traffic in the network, avoiding the occurrence of network congestion during the peak traffic period (3) It can reduce the network occupation of backhaul bandwidth and reduce the deployment cost of backhaul link of base station to a certain extent (4) It can effectively reduce the retrieval delay and transmission delay for users to obtain content, because users can directly obtain the requested content from the cache node and do not need to obtain it from the core network (5) It can effectively avoid duplicate contents transmitted on the backhaul link, thereby reducing the energy consumption of the network and improving the energy efficiency.
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