A Dense Network Load Balancing Method Based on Load Sensing

A load balancing and load sensing technology, applied in network traffic/resource management, wireless communication, electrical components, etc., can solve problems such as considering the performance of RE solutions, to improve system load balance, optimize system load balance, and improve Effect of system throughput and system resource utilization

Active Publication Date: 2020-02-11
CHONGQING UNIV OF POSTS & TELECOMM
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this scheme does not consider the performance of the RE scheme from the perspective of the overall system, so the bias value setting in the RE scheme needs further research

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
  • A Dense Network Load Balancing Method Based on Load Sensing
  • A Dense Network Load Balancing Method Based on Load Sensing
  • A Dense Network Load Balancing Method Based on Load Sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0049]The method is mainly divided into two parts during implementation: load sensing based on partially measurable Markov decision process and dynamic cell range expansion based on load sensing, and the two parts jointly complete load balancing. Partially measurable Markov decision process load sensing is to analyze and analyze the possible data packet transmission volume of the UE in the next decision period through the observation and statistics of the UE data packet transmission volume between two decision moments, and then obtain the entire base station in the following Load status within a decision period. The dynamic cell range expansion method based on load perception is based on the load perception of the partly measurable Markov decision process in the early stage, and adopts the method of cell range expansion to achieve the purpo...

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 relates to a dense network load balancing method based on load aware, which relates to the technical field of wireless communication network. A method for implementing load balancing through cell range expansion (CRE) based on partial measurable Markov decision-making process load aware is disclosed, which solves a problem that the load of a network under dense micro cell configuration is unbalanced. A load condition, which probably occurs, of a next cycle system is judged by observing and analyzing services of system users and combining the partial measurable Markov decision-making process load aware, so that an offset of the CRE is dynamically adjusted by taking actions in advance and then a purpose of optimizing system load balance is achieved. According to the dense network load balancing method based on the load aware, the load aware under dense micro cell configuration can be achieved, so that the system load balance is effectively improved, and meanwhile, system throughput and system resource utilization rate are effectively improved. The dense network load balancing method based on load the aware can be applied to dense heterogeneous network load balancing.

Description

technical field [0001] The invention belongs to the field of wireless communication networks, and relates to a dense network load balancing method based on load perception. Background technique [0002] The deployment of a dense heterogeneous network is a dense network architecture that guarantees basic coverage in macro cells, deploys micro base stations for network expansion in network hotspots, or performs network blind coverage in blind spots. With the continuous increase of data services, the number of small base stations in the network is also increasing, so as to increase the capacity of the network. Due to the densification of small base stations, the increase in capacity also brings various problems that affect network performance, such as load balancing and other issues. The load balancing problem in dense heterogeneous networks is mainly due to the difference in transmit power between the traditional macro base station (MBS) and the low-power node (LPN) and the s...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/02H04W28/08
CPCH04W24/02H04W28/08
Inventor 唐伦梁荣张亚牛瑞彪尹生华陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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