C-RAN system resource allocation method for balancing long-term energy efficiency and network stability

Abstract

The invention provides a C-RAN system resource allocation method for balancing long-term energy efficiency and network stability. The method comprises the following steps: establishing a hybrid energysupply C-RAN mathematical model in combination with energy cooperation; establishing an objective function and constraint conditions of a long-term energy efficiency optimization problem; convertinga system long-term energy efficiency optimization problem into a single time slot optimization problem based on the thought of a Lyapunov equation and a penalty function; and solving the converted single time slot optimization problem by adopting a joint resource allocation optimization algorithm. According to the method, system resources (transmission power, cooperative energy and power grid energy supply) can be optimally allocated, the balance between the long-term energy efficiency of the system and the network stability is effectively improved. The system performance is optimized, so thatthe hybrid energy supply C-RAN system adopting energy cooperation meets various long-term and instantaneous service quality requirements, and the method has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a C-RAN system resource allocation method for balancing long-term energy efficiency and network stability. Background technique [0002] The demand for ubiquitous wireless communication anytime, anywhere has brought about a sharp increase in data traffic and a large-scale upgrade in energy consumption. In order to meet the increasing business volume and service quality requirements, Cloud-radioaccess network (C-RAN), as an improvement of the architecture, is considered to be a key technical architecture of the fifth-generation mobile communication network. Among them, baseband processing is managed in a centralized pool of baseband units, and collaboratively processes requests from users; cloud-based centralized baseband unit pools share resources to reduce power consumption and cost; distributed remote antenna units Coordinated multi-point transmission, strong sc...

AI Technical Summary

Problems solved by technology

Although this kind of problem can be solved by dynamic programming, it often needs to master the detailed instantaneous and statistical information of the dynamic system, and the system space state often increases exponentially when the data queue is large, which brings great challenges to the formulation of resource allocation schemes. Difficulties

And there is no suitable solution in the prior art

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