Ultra-dense heterogeneous network energy efficiency based resource allocation method

Abstract

The present invention discloses an ultra-dense heterogeneous network energy efficiency based resource allocation method. According to the method, a resource segmentation coefficient of a macro base station in an ultra-dense heterogeneous network is associated with a transmit power of a picocell, a cell edge expansion bias of the picocell and a particle position in a particle swarm optimization algorithm; a global energy efficiency is taken as a target, and the resource segmentation coefficient of the macro base station, the transmit power of the picocell and the cell edge expansion bias of the picocell are jointly adjusted by using the particle swarm optimization algorithm, so as to achieve the objective of maximum global energy efficiency; in optimization of problem modeling, each user rate requirement in the global network is used as a constraint condition, so that the user rate requirement is ensured while the maximum global energy efficiency is ensured; and an optimization process is ensured to be converged through limitation of an inertial weight of the particle swarm and a value range of an acceleration coefficient, and the optimization process is ensured to be converged within a global optimal value through multiple times of re-initialization.

Description

technical field [0001] The invention relates to a method for energy efficient resource allocation of an ultra-dense heterogeneous network. Background technique [0002] In order to improve the data rate of the wireless communication network and meet the explosive data rate requirements of users, 3GPP LTE-A proposes a dense deployment of low-power small stations such as co-frequency pico stations, femto stations and relays within the coverage of traditional cellular macro stations. Ultra-dense heterogeneous network architecture of the station [1] . The data capacity and coverage of the entire network can be improved through the ultra-dense deployment of small cells, but the energy consumption of the network and the mutual interference between base stations in the network are also greatly increased, which limits the further improvement of network performance. Since the 12th Five-Year Plan, my country has paid more and more attention to environmental protection and carbon dio...

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Problems solved by technology

[0044] Purpose of the invention: Aiming at the problem of low energy efficiency of existing technical solutions, the present invention provides an energy efficient resource allocation scheme for joint optimization of macro stations and pico stations

This solution is to increase the resource division of the macro station in the existing technical solution, and solve the problem of ignoring the resource allocation of the macro station users in the existing solution; in the optimization process, the rate guarantee for the users in the network is added, and the existing problem is solved. In the scheme, due to the goal of saving energy, the problem of user rate guarantee in the network is ignored

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