Energy efficiency-oriented distributed resource allocation method and device in wireless heterogeneous network

Abstract

The invention discloses an energy efficiency-oriented distributed resource allocation method and device in a wireless heterogeneous network. The method comprises the following steps: constructing a two-layer wireless heterogeneous network, wherein the network comprises a central macro base station and multiple uniformly distributed femto base stations, users in the network are randomly distributed, and all users share the network spectrum resource; analyzing the power consumption of each base station in the network, establishing a power consumption model and a base station business load model, and then constructing a network energy efficiency model; modeling the maximum network energy efficiency optimization problem; and resolving the maximum network energy efficiency optimization problem: firstly guaranteeing the network load balance and reducing the base station energy consumption by using the user and the base station based on the learning strategy; and then adopting a distributed iterative power distribution scheme based on the fraction planning method on the basis of the proposed associated strategy. The experimental results shows that the network energy efficiency can be effectively promoted while the algorithm complexity is lowered by using the technical scheme disclosed by the invention, and the technical scheme is easy to realize in the actual system.

Description

technical field [0001] The invention relates to wireless communication technology, in particular to an energy efficiency-oriented distributed resource allocation method and device in a two-layer wireless heterogeneous network. Background technique [0002] With the rapid development of wireless communication technology and the continuous promotion of Internet of Things technology and various smart devices, people's demand for wireless network capacity is growing explosively. In order to meet people's requirements for wireless communication, some existing technologies mostly meet higher transmission power by increasing the number of macro base stations. However, since the energy consumption of base stations accounts for the majority of the total energy consumption, relying on large-scale deployment of macro base stations to meet user needs not only wastes resources, but also causes irreparable damage to the environment. In order to adapt to new development trends in the futu...

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Problems solved by technology

[0004] In order to solve the above problems, the present invention proposes a user base station association mechanism based on a learning strategy to effectively balance the load among different types of base stations by establishing a two-layer wireless heterogeneous network model in which macro base stations and femto base stations are mixed. Modeling the arrival of user traffic loads, a base station traffic load model is proposed, and a power consumption model of all base stations in the network is proposed. Based on the above model, the optimal user association and power allocation problem is modeled as satisfying the user service quality The optimization problem of maximizing network energy efficiency under the premise of demand

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