A Resource Allocation Method Based on User Service Flow

Abstract

The invention discloses a resource allocation method based on user service flow, which belongs to the field of wireless mobile communication; specifically, when a user applies for accessing the network, a local service center forms an AP set for the user; then, the local service center forms an AP set Each AP allocates spectrum resources and power resources, etc.; when the user's service requirements change or the channel link status changes, the user re-reports the current location information, service requirements, and channel link status, and the LSC re-dynamically performs power and subcarrier allocation. Allocation; finally judge whether the AP set currently providing services meets the user's needs after dynamic allocation, and if so, keep the current status unchanged; otherwise, the LSC closes or opens some APs according to the allocation result to meet the user's business needs while maximizing the system energy efficiency. The present invention effectively improves system energy efficiency and resource utilization efficiency through resource allocation optimization, and ensures various service requirements of users.

Description

technical field [0001] The invention belongs to the field of wireless mobile communication, in particular to a resource allocation method based on user service flow. Background technique [0002] With the rapid growth of data traffic, ultra-dense networks have become one of the key technologies of 5G. Ultra-dense networking technology can effectively increase network capacity and expand network coverage by deploying low-power access points in hotspot areas on a large scale. Due to the extremely high AP density in an ultra-dense network, users can often form an AP set from one or more APs to provide services for users. The APs in the AP set need to cooperate, and the resource allocation is quite different from that in the traditional network. Considering the diversity of user services, the corresponding resource allocation should also be dynamically changed for different service requirements. How to properly allocate resources among multiple APs is crucial to serving users...

AI Technical Summary

Problems solved by technology

[0006] The present invention is aimed at ultra-intensive scenarios, where dense access point deployment makes the network topology more complex, and when multiple APs form an AP set and cooperate to provide services for a user, its resource allocation method is quite different from that of traditional networks. The same; therefore, a resource allocation method based on user business flow is proposed, through multi-dimensional resource allocation optimization, the energy efficiency of the network can be effectively improved, and the service demand of users can be guaranteed

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