User access method for ultra-dense heterogeneous cellular network with separation of coverage and data plane

Abstract

The invention belongs to the technical field of ultra-dense heterogeneous cellular network user access, discloses an ultra-dense heterogeneous cellular network user access method that separates coverage and data planes, and establishes a microcellular base station system model based on a Poisson cluster process; users can be accessed by Multiple micro base stations distributed around the same hotspot cooperate to access services; establish a macro base station system model based on the Poisson point process; on the premise that the macro base station is mainly responsible for completing the coverage function, and the micro base station is responsible for high data rate transmission, respectively deduce the macro base station Station users and micro base station users receive SINR distribution model and interference distribution model; use SINR distribution model and known distance distribution model to derive the average achievable rate when users in the network are served by different types of base stations; derive Laplace transform of interference distribution model reliable closed-form upper and lower bounds for . It can be found through numerical simulation results in the present invention that the proposed method can obtain a higher data rate.

Description

technical field [0001] The invention belongs to the technical field of ultra-dense heterogeneous cellular network user access, in particular to an ultra-dense heterogeneous cellular network user access method that separates coverage and data planes. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Random geometry is a widely applicable mathematical tool for describing the spatial distribution of networks. It is suitable for modeling the spatial distribution of ultra-dense base stations and users. It can more accurately describe the theoretical relationship between network performance indicators and network deployment parameters. , which can provide a reference for the deployment of ultra-dense heterogeneous cellular networks in the future. [0004] In traditional mobile wireless networks, users are served by individual users who meet their service indicators, but with the ultra-dense deployment of bas...

AI Technical Summary

Problems solved by technology

[0007] (1) In the traditional mobile wireless network, users are served by a single user that meets their service indicators, but with the ultra-dense deployment of base stations, the distance between base stations is shortened, forming a worse interference environment. then apply

[0008] (2) Ultra-densely deployed micro base stations have the characteristic of being clustered in hotspot areas, which not only does not bring benefits to the existing traditional network access methods, but also seriously interferes with the communication between the serving base station and users

[0009] (3) The future network is a structure in which coverage and data are separated. Ultra-dense networks are densely deployed with micro base stations for high data rate transmission and macro base stations for full coverage of control signals, forming a light-loaded network. Although it brings considerable cell splitting gain, but this inevitably results in waste of resources and low spectrum utilization

[0013] The complex interference environment caused by the ultra-dense deployment of base stations requires the design of reliable interference cancellation algorithms and receiving hardware for interference cancellation, and cluster deployment will aggravate this disadvantage

Images