Method for balancing load based on virtual cell breathing in long term evolution-advanced (LTE-A) system

A LTE-A, 1.LTE-A technology, applied in the field of load balancing based on virtual cell breathing, can solve problems such as increased network overhead and load imbalance

Active Publication Date: 2013-06-19
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This unnecessary load balancing can increase network overhead if neighbor cell loads are also low
On the other hand, if there is no good estimate of the load situation of the adjacent cell after load balancing, and the blind transfer of load to the adjacent cell will cause a new load imbalance after load balancing

Method used

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  • Method for balancing load based on virtual cell breathing in long term evolution-advanced (LTE-A) system
  • Method for balancing load based on virtual cell breathing in long term evolution-advanced (LTE-A) system
  • Method for balancing load based on virtual cell breathing in long term evolution-advanced (LTE-A) system

Examples

Experimental program
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Embodiment 1

[0112] Embodiment one, such as Figure 4 A TD-LTE-A network is constructed as shown. There are 19 cells in total. Each cell uses omnidirectional antennas. The frequency reuse factor between cells is 1. Except for edge cells, each cell has six adjacent cells. , so the cell is virtually divided into six parts, each corresponding to a neighboring cell. The bandwidth of each physical resource block is 180kHz, each cell has one eNodeB, and the distance between every two eNodeBs is 500 meters, and each eNodeB manages six virtual transmission powers corresponding to different adjacent cells. Each virtual transmit power maintains 12 different values. In this example, cells 15, 17, and 19 each have 50 evenly distributed users, and the remaining cells each have 10 evenly distributed users. At this time, there are multiple non-adjacent cells (15, 17, 19) in the network that are overloaded, and the loads of other cells are light. The network in this case belongs to the above-mentioned ...

Embodiment 2

[0121] Embodiment two, such as Figure 4 A TD-LTE-A network is constructed as shown. There are 19 cells in total. Each cell uses omnidirectional antennas. The frequency reuse factor between cells is 1. Except for edge cells, each cell has six adjacent cells. , so the cell is virtually divided into six parts, each corresponding to a neighboring cell. The bandwidth of each physical resource block is 180kHz, each cell has one eNodeB, and the distance between every two eNodeBs is 500 meters, and each eNodeB manages six virtual transmission powers corresponding to different adjacent cells. Each virtual transmission power maintains 10 different values. In this embodiment, the central cell 13 has 50 uniformly distributed users, each of its six adjacent cells has 30 users, and the remaining cells in the network each have 10 users. At this time, the load of the central cell 13 is too heavy, and the load of its adjacent cells exceeds the acceptable load transfer threshold (AC_load is 0...

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Abstract

The invention discloses a method for balancing load based on virtual cell breathing in a long term evolution-advanced (LTE-A) system. The method comprises the following steps of: periodically detecting load in the cell by an eNode B in the LTE / LTE-A system; and when the load exceeds a threshold value, balancing load by a method that power is sent by a virtual dynamic adjustment cell, calculating switching parameters finally by a back tracking method, and dynamically adjusting the switching parameters of the system to fulfill the aims of dynamically adjusting the number of mobile users in the cell. By the provided method for balancing the load based on the virtual cell breathing in the LTE-A system, the load range of the cell is virtually and dynamically adjusted, the cell virtual breathing is realized, and the phenomenon that the new load is not balanced is inhibited by virtually reducing a coverage range of an overloading cell and increasing a coverage range of an underload cell, so that the load is balanced finally, and system capacity is improved; and meanwhile, the adjustment value of the switching parameters is calculated further, and the complexity of the method for balancing the load is reduced.

Description

technical field [0001] The invention relates to a load balancing method based on virtual cell breathing in an LTE-A system. Background technique [0002] Load balancing is an important part of the LTE-A (short for LTE-Advanced) self-organizing and self-optimizing network. In a mobile cellular network, if the distribution of mobile terminals (referred to as UE) is uneven, some cells may be heavily loaded, while the surrounding cells may be lightly loaded; this unbalanced load distribution will not only reduce network capacity but also affect To the user's quality of service (referred to as QoS). To this end, LTE-A self-organizing network (SON for short) proposes a method to achieve load balancing. [0003] Generally, the LTE-A system achieves the purpose of load balancing by means of operations such as handover parameter adjustment. The UE in the network reports the measurement according to the measurement events configured by the system. When the UE's neighbor cell measur...

Claims

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Application Information

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IPC IPC(8): H04W28/08
Inventor 赵新胜杨少杰张巍
Owner SOUTHEAST UNIV
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