Gibbs sampling-based ultra-dense heterogeneous network optimal cell range expansion bias adjustment method

A technology of Gibbs sampling and extended biasing, applied in network planning, advanced technology, electrical components, etc., can solve the problem that there is no general method to solve the optimization of rate-related utility functions, limit the coverage of small cells, load balancing between cells, etc. question

Active Publication Date: 2016-02-24
上海瀚芯实业发展合伙企业(有限合伙)
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the power difference between macro cells and small cells will limit the coverage of small cells, leading to problems such as limited network capacity gain and inter-cell load balancing.
Traditional user access optimization methods are sensitive to changes in network topology and require continuous iterative operation to adapt to network changes. The computational complexity is too high, and they are not suitable for large-scale ultra-dense heterogeneous network scenarios with a large number of sites and complex topologies.
The cell range extension technology can simply force users to access the small cell to expand t

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Gibbs sampling-based ultra-dense heterogeneous network optimal cell range expansion bias adjustment method
  • Gibbs sampling-based ultra-dense heterogeneous network optimal cell range expansion bias adjustment method
  • Gibbs sampling-based ultra-dense heterogeneous network optimal cell range expansion bias adjustment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Such as figure 1 As shown, the Gibbs sampling-based ultra-dense heterogeneous network cell range expansion offset adjustment method of the present invention takes the LTE-A system as an example to provide an embodiment:

[0032] Including the following steps:

[0033] initialization. Assume that there are M macro cells, L small cells and K users in the system. The set of macro cells is denoted as The collection of small cells is denoted as The set of all cells is denoted as where ∪ represents the union of two sets, and the user set is denoted as Only small cells can adjust their range extension bias to optimize network utility, any small cell The set of available range extension biases for is where b min is the minimum bias, b max is the maximum offset, Δ is the offset interval, defined by the operator; the range extension offset of any macro cell m Denote the range extension offset of small cell i as b i , during initialization, the range extension bi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a Gibbs sampling-based ultra-dense heterogeneous network optimal cell range expansion bias adjustment method. The method includes the following steps that: inter-cell bias influence relation diagram is constructed; small cells are grouped based on the bias influence relation diagram; a user judges candidate service cells; user number, signal to interference plus noise power and effectiveness update information are interacted between adjacent cells; and cell range expansion bias sampling is carried out based on Gibbs sampling. With the method adopted, ultra-dense heterogeneous network optimal cell range expansion bias, with optimizing any rate related system effectiveness adopted as a target, can be obtained with linear complexity and minimal iterations.

Description

technical field [0001] The invention belongs to the technical field of wireless access in mobile communication, and in particular relates to a Gibbs sampling-based ultra-dense heterogeneous network cell range extension offset adjustment method in a wireless communication system. Background technique [0002] Ultra-dense heterogeneous network is a key technology in the next-generation mobile communication system. It improves network spectrum utilization and network capacity by densely deploying low-power small cells within the coverage of macro cells. However, the power difference between macro cells and small cells will limit the coverage of small cells, leading to problems such as limited network capacity gain and inter-cell load balancing. Traditional user access optimization methods are sensitive to network topology changes and need to be iteratively run to adapt to network changes. The computational complexity is too high, and it is not suitable for large-scale ultra-den...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04W16/18
CPCH04W16/18Y02D30/70
Inventor 潘志文蒋慧琳刘楠尤肖虎
Owner 上海瀚芯实业发展合伙企业(有限合伙)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap