A balance method of energy efficiency and spectral efficiency for ultra-dense deployment of heterogeneous networks in micro base stations

Abstract

The invention discloses an energy efficiency and frequency spectrum efficiency balance method for a micro base station super dense disposition heterogeneous network. The method comprises steps that 1), network model construction, network bandwidth division and frequency spectrum use mode determination are carried out; 2), a signal to noise ratio obtained through association of a mobile user and a macro base station and a signal to noise ratio obtained through association of the mobile user and a micro base station are calculated; 3), a statistics averaging method is utilized to calculate association probability of the mobile user and a nearest neighbor micro base station and an average throughput of a downlink during association of the mobile user and the macro base station and the micro base station; 4), frequency spectrum efficiency and energy efficiency of the network are calculated; and 5), an optimization model for maximizing energy efficiency is established. The method is advantaged in that the method can be applied to a traditional cellular network to realize stable evolution, rapid disposition in a needed macrocellular scene can be realized, network energy efficiency is maximized on the condition that minimum frequency spectrum efficiency and minimum user throughput are satisfied, network capacity is substantially improved, and user service quality is guaranteed.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method for balancing energy efficiency and spectrum efficiency of heterogeneous networks with ultra-dense deployment of micro base stations. Background technique [0002] With the popularity of wireless mobile devices such as smartphones and tablet computers, the number of mobile users and data traffic are showing explosive growth. It is difficult for traditional cellular networks to meet the rapid growth of mobile user access and data traffic through cell splitting. . In order to meet the challenge of the rapid growth of mobile data traffic, the future 5G network needs to be able to provide a peak rate greater than 10Gbit / s, and be able to provide a user experience rate of 100Mbit / s-1Gbit / s, and UDN (Ultra Dense Network, ultra-dense network Deployment) is an important means and means to achieve these goals. [0003] Ultra-dense deployment heterogeneous networks ...

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Problems solved by technology

[0005] Most of the existing ultra-dense network performance research methods consider single-layer or multi-layer network scenarios, and model different types of base stations as independent spatial point processes. Under the condition of full frequency reuse, random geometry methods are used to Study the performance indicators such as the total interference distribution of the system, the outage probability, and the average reachable rate of users. Although such a network scenario makes full use of the mathematical tractability of the stochastic geometry theory method, it does not exist in actual network deployment. Therefore, it is necessary to consider the energy efficiency of ultra-dense deployment of micro base stations in the macro cellular scenario.

In particular, many scholars have considered full frequency reuse between base stations in their research. Although this can improve the spectral efficiency and capacity of the system, it has brought serious interlayer interference. Dedicated channel deployment for spectrum division is also very difficult. little research

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