Method and apparatus for PCI classified self-configuration

US9699661B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9699661-B2
Application numberUS-201514686818-A
CountryUS
Kind codeB2
Filing dateApr 15, 2015
Priority dateOct 26, 2012
Publication dateJul 4, 2017
Grant dateJul 4, 2017

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Abstract

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Provided is a method for PCI classified self-configuration, including: according to the characteristic of PCI code, dividing all PCIs into Δ L large groups in accordance with a step length Δ L , and then dividing resources of each of the large groups into Δ S small groups in accordance with a step length Δ S , generating a PCI resource list, and identifying each PCI by three sections of address codes representing a large group number, a small group number and an intra-group number of the PCI, respectively; mapping the PCI resources one by one to new base stations in accordance with a classification that each new station and heterogeneous nodes covered thereby correspond to a small group of PCI resources; allocating a first PCI in each small group of PCI resources to a new base station, and randomly allocating the remaining PCIs in the small group of PCI resources to the covered heterogeneous nodes.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of physical cell ID (PCI) classified self-configuration, comprising: accumulating a plurality of PCIs; dividing all PCIs into Δ L large groups in accordance with a step length Δ L ; and then dividing resources of each of the large groups into Δ S small groups in accordance with a step length Δ S , according to characteristic of PCI code; generating a PCI resource list, wherein the steps of dividing all PCIs in the PCI resource list into Δ L large groups in accordance with the step length Δ L , dividing resources of each of the large groups into Δ S small groups in accordance with the step length Δ S , and generating a PCI resource list comprises: allocating all PCIs separated by the step length Δ L to the same large group when dividing all PCIs into Δ L large groups in accordance with the step length Δ L to form totally Δ L large groups; and allocating all PCIs separated by the step length Δ S to the same small group when dividing all PCIs in each large group into Δ S small groups in accordance with the step length Δ S , wherein two adjacent PCIs in the same small group of PCI resources are separated by a distance of Δ L ×Δ S , wherein the three sections of address codes are formed with three sections of binary codes that are separated by dots, wherein the first section of the address codes corresponds to the large group number of the PCI resource list, wherein the second section of the address codes corresponds to a small group number in a certain large group of the PCI resource list, wherein the third section of the address codes corresponds to an intra-group number in a small group of PCI resources, and wherein the three sections of the address codes together identify the location of any PCI in the small group of PCI resources; identifying each PCI in the PCI resource list by three sections of address codes, wherein the three sections of address codes represent a large group number, a small group number and an intra-group number of PCI, respectively; mapping the PCI resources one by one to new base stations in accordance with a classification such that each new base station and heterogeneous nodes covered thereby correspond to a small group of PCI resources; forming a base station cluster from Δ S adjacent new base stations, wherein the base station cluster corresponds to a large group of PCI resources; and allocating a first PCI in each small group of PCI resources to a new base station, and randomly allocating the remaining PCIs in the small group of PCI resources to the heterogeneous nodes which are covered by the new base station. 2. The method of PCI classified self-configuration according to claim 1 , wherein, when randomly allocating the remaining PCIs in the small group of PCI resources to the heterogeneous nodes which are covered by the new base station, if it is detected that the number of the heterogeneous nodes covered by the new base station exceeds the number of available PCIs in the small group of PCI resources, then multiplexing the PCI resources from other groups until all the heterogeneous nodes complete PCI configuration. 3. The method of PCI classified self-configuration according to claim 2 , wherein the multiplexing PCI resources from other groups until all the heterogeneous nodes complete PCI configuration comprises: first, multiplexing PCI resources which have been used to configure heterogeneous nodes in the small group of a large group number of which is the large group number of the new base station plus 1; second, multiplexing PCI resources which have been used to configure the heterogeneous nodes in the small group of a large group of which number is the large group number of the new base station plus 2; repeating the multiplexing until all the large group numbers are traversed, optionally, if there is heterogeneous node that does not complete PCI configuration after all the large group numbers are traversed, multiplexing PCI resources by selecting the small group number plus 1 and re-traversing all the large group numbers; and repeating the optional multiplexing of small group numbers until all the heterogeneous nodes complete PCI configuration. 4. The method of PCI classified self-configuration according to claim 1 , wherein allocating the first PCI in each small group of PCI resources to the new base station, and randomly allocating the remaining PCIs in the small group of PCI resources to the heterogeneous nodes which are covered by the new base station, comprises: after a new base station and heterogeneous nodes covered thereby complete PCI configuration, using the configuration method of claim 1 to perform PCI configuration one by one for other new base stations and the heterogeneous nodes covered thereby until the PCI configuration of all the new base stations and the heterogeneous nodes covered thereby in the network is completed, wherein the heterogeneous nodes comprise the following types: microcell, picocell, relay node and femtocell. 5. An apparatus for physical cell ID (PCI) classified self-configuration, comprising: a PCI resource list generation unit configured to divide all PCIs into large Δ L groups in accordance with a step length Δ L , and then divide resources of each of the large groups into Δ S small groups in accordance with a step length Δ S according to characteristic of PCI code, generate a PCI resource list, and identify each PCI in the PCI resource list by three sections of address codes, wherein the three sections of address codes represent a large group number, a small group number and an intra-group number of PCI, respectively, and wherein the PCI resource list generation unit is configured to perform the divide, divide, generate and identify steps by: allocating all PCIs separated by the step length Δ L to the same large group to form totally Δ L large groups when dividing all PCIs into Δ L large groups in accordance with the step length Δ L ; and allocating all PCIs separated by a step length Δ S to the same small group when dividing all PCIs in each large group into Δ S small groups in accordance with the step length Δ S , wherein two adjacent PCIs in the same small group of PCI resources are separated by a distance of Δ L ×Δ S , wherein the three sections of address codes are formed with three sections of binary codes that are separated by dots, wherein the first section of the address codes corresponds to the large group number of the PCI resource list, wherein the second section of the address codes corresponds to a small group number in a certain large group of the PCI resource list, wherein the third section of the address codes corresponds to an intra-group number in a small group of PCI resources, and wherein the three sections of the address codes identify the location of any PCI in the small group of PCI resources; a classified mapping unit configured to map the PCI resources one by one to new base stations in accordance with a classification that each new station and heterogeneous nodes covered thereby correspond to a small group of PCI resources, wherein Δ S adjacent new base stations form a base station cluster corresponding to a large group of PCI resources; and an intra-small-group PCI allocation unit configured to allocate a first PCI in each small group of PCI resources to a new base station, and randomly allocate the remaining PCIs in the small group of PCI resources to the heterogeneous nodes which are covered by the new base station. 6. The apparatus for PCI classified self-configuration according to claim 5 , wherein the intra-small group PCI allocation unit is configured to, when randomly allocating the remaining PCIs in the small group of PCI resources to the heterogeneous nodes which are covered by the new base stat

Assignees

Inventors

Classifications

  • User group management · CPC title

  • H04W16/12Primary

    Fixed resource partitioning · CPC title

  • H04W8/26Primary

    Network addressing or numbering for mobility support · CPC title

  • Access point devices · CPC title

  • Arrangements for optimising operational condition · CPC title

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What does patent US9699661B2 cover?
Provided is a method for PCI classified self-configuration, including: according to the characteristic of PCI code, dividing all PCIs into Δ L large groups in accordance with a step length Δ L , and then dividing resources of each of the large groups into Δ S small groups in accordance with a step length Δ S , generating a PCI resource list, and identifying each PCI by three sections of addre…
Who is the assignee on this patent?
Beijing Univ Of Posts & Telecommunications, Univ Beijing Posts & Telecomm
What technology area does this patent fall under?
Primary CPC classification H04W16/12. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Jul 04 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).