Network access point selection method of LWA (LTE WLAN Aggregation) system based on OWMAD (Optimal weighted multi-attribute decision)

Abstract

The invention relates to a network access point selection method of an LWA (LTE WLAN Aggregation) system based on OWMAD (Optimal weighted multi-attribute decision), and belongs to the field of mobilecommunication. The method includes the following steps: S1, in a network access point selection period, firstly acquiring an eNBs set S<L><k> and an APs set S<W><k>, which can be used for selection inthe current network access point selection period, by a network end according to information fed back by UE; S2, respectively measuring attribute values of attribute sets of the network access pointcandidate subsets S<L><k> and S<W><k>, forming a decision matrix A<NxM> of the attribute values, and carrying out standardization thereon to obtain a decision standardization matrix R<NxM>; S3, calculating an attribute optimal weight vector omega<+> of a current network access point; S4, calculating a weighting value vector f<+> of each network access point; and S5, sorting weighting values, obtaining a network access point b<*> of a smallest weighting value by solving, and executing access point connection. The method can improve a frequency spectrum utilization rate of the LWA system, reduceloads of eNB, and ensure QoS requirements of UE (User Equipment), and simplifies an access point selection process.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to a network access point selection technology of an LWA system in a heterogeneous network. Background technique [0002] In recent years, with the explosive growth of mobile data traffic volume and types, higher requirements are placed on network system capacity and data rate. In order to meet the mobile traffic growth of nearly 1000 times in the next 10 years, the fifth generation mobile communication (5G) has become a research hotspot in academia and industry. In order to improve the mobile data rate and network system capacity, many new technologies and solutions have emerged recently, such as massive MIMO, millimeter wave communication, dense cellular heterogeneous network and other technologies. In the existing heterogeneous network (HetNet), IEEE 802.11 wireless local area network (WLAN) has the advantages of abundant bandwidth resources and a large number of low-cost deplo...

AI Technical Summary

Problems solved by technology

However, in the LWA system, due to the increasing number of deployed APs, the distance between AP sites is getting smaller and smaller, which also brings a series of new technical difficulties and challenges

First, in the LWA system, due to the dense deployment of eNBs and APs, especially the large number of APs, and the performance of each access point is very different, how to efficiently select the access point with the best performance in the LWA system access point selection is very necessary and practical

Second, in the LWA system, unloading and offloading does not simply select a certain network for traffic transmission. Before resource allocation, the capacity and performance of each network base station must be considered. Therefore, resource allocation needs to consider how to efficiently allocate resources to improve system throughput and performance without compromising the performance of the two existing networks.

[0004] In the actual LTE network system, the number of UEs requesting services changes with time. When the number of UEs requesting services in the network is large, a large number of eNBs will be overloaded and the system performance will decline.

At this time, if the eNB of the LTE network cannot effectively reduce its load, and a large number of new users do not know that the current network access point has poor performance and forcibly access the network, the probability of system congestion will increase, the network performance will deteriorate, and the system throughput will decrease.

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