Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Distribution method of PCIs (Physical Cell Identities) in long-term evolution network

A technology of physical cell identification and long-term evolution network, which is applied in network planning, wireless communication, electrical components, etc., and can solve the problems that PCI may not be enough, and there is no division and allocation of PCI.

Active Publication Date: 2011-03-23
ZTE CORP
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if you consider many femto base stations in residential buildings, 504 PCIs may not be enough
Moreover, in the current technology, there is no specific method for how to divide and allocate PCI

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
  • Distribution method of PCIs (Physical Cell Identities) in long-term evolution network
  • Distribution method of PCIs (Physical Cell Identities) in long-term evolution network
  • Distribution method of PCIs (Physical Cell Identities) in long-term evolution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] For general urban coverage scenarios, that is, there are certain buildings but the density is not particularly high, the PCI space allocation method is as follows:

[0041] Step 1: Allocate a continuous piece of PCI space for the pico base station cell, ranging from 1 to 50, of which there are 50 PCI values;

[0042] In this way, the requirement that the PCI collision probability is very low in the picocell coverage area can be met, and further indicators such as the call drop rate of the mobile station in the network can be optimized.

[0043] Step 2: Allocate a large enough continuous PCI space for the macro cell cluster base station cell, ranging from 51 to 321, where the number of PCIs is 271;

[0044] Take the radius of 500 meters in the urban area as a typical value, and the radius of 2000 meters in the suburban area as a typical value, and set n=10. After taking this step, the typical multiplexing distance of PCI in urban areas is about 10×500×2=10,000 meters, w...

Embodiment 2

[0049] For suburban and rural coverage scenarios, i.e. low building density, PCI space is allocated as follows:

[0050] Step 1: Allocate a continuous PCI space for the pico base station, ranging from 1 to 30, of which there are 30 PCI values;

[0051] Of course, from the perspective of Embodiments 1 and 2, for general urban or suburban and rural coverage scenarios, the PCI values ​​allocated to pico base stations are all possible within the range of (50±m), where m=0-20, according to Specific building densities are adjusted.

[0052] Step 2: Allocate a large enough continuous PCI space for the macro cell cluster base station, the range is 31-301, and the number of PCIs is 271;

[0053] This can ensure that the multiplexing distance of the PCI of the macro cell is far enough.

[0054] Step 3: Reserve a continuous PCI space for the macro cell cluster base station, ranging from 302 to 447, and the number of PCIs in it is 146, which can be used for expansion and adding macro ce...

Embodiment 3

[0058] For a dense urban scene, that is, an area with a high density of buildings and a high density of pico base stations, the PCI space allocation method is as follows:

[0059] Step 1: Allocate a continuous PCI space for the picocell, ranging from 1 to 100, of which there are 100 values;

[0060] Of course, for high-density building coverage scenarios, the PCI values ​​are all possible in the range of [(50±m)×2], where m=0-20, and adjusted according to the density of specific buildings.

[0061] Step 2: Allocate a large enough continuous PCI space for the macro cell cluster base station, for example, the range is 101-371, and the number of PCIs in it is 271;

[0062] Step 3: Reserve a continuous PCI space for the macro cell cluster base station, ranging from 372 to 447, and the number of PCIs in it is 76, which is used to expand and join the macro cell;

[0063] Considering that in dense urban areas, the density of macro base stations is already high, and large-scale expan...

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 distribution method of PCIs (Physical Cell Identities) in a long-term evolution network. The method comprises the following steps of: firstly, partitioning two respectively continuous PCI spaces in a PCI range, wherein one is used for distributing PICs in a picocell, and the other is used for distributing PCIs in a micro base cell; distributing a PCI space large enough to the micro base cell so that the PCI multiplexing distance in the micro base cell is far enough, which means the multiplication of ring number of enough macrocell clusters forming the micro base by the cell diameter, and the enough large PCI space means that the number of the distributed PCIs is at least equal to the total cell number of the enough macrocell clusters. On the premise that the macrocell clusters and the picocell are ensured to use different PCI spaces, the PCI multiplexing distance of the macrocell is far enough, PCI conflict probability among picocells is lower, and resources are preserved for network expansion.

Description

technical field [0001] The present invention relates to a wireless communication network resource allocation technology, in particular to a method for allocating Physical Cell Identification (PCI, Physical Cell Identification) in a Long Term Evolution (LTE, Long Term Evolution) system. Background technique [0002] With the development of wireless communication technology towards multi-service and broadband, the 3rd Generation Partnership Project (3GPP, 3 rd Generation Partnership Project) launched the Long Term Evolution (LTE, Long Term Evolution) project. [0003] The purpose of 3GPP to develop various wireless broadband access technologies is to provide customers with a full range of mobile multimedia service experience. However, under many conditions, this purpose has not been achieved, especially in remote areas or residential areas, because the signal in these areas is poor, which makes this purpose of 3GPP impossible to achieve. [0004] A viable solution is to dep...

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): H04W16/02
Inventor 付文品
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com