Resource allocation method and device for LTE-A (Long Term Evolution-Advanced) heterogeneous network

Abstract

The embodiment of the invention provides a resource allocation method and device for an LTE-A (Long Term Evolution-Advanced) heterogeneous network. The heterogeneous network comprises a macro node B and a plurality of micro nodes B. The method comprises the following steps: determining the coverage of the macro node B and the positions of the micro nodes B; dividing users into macro node B users and micro node B users according to the coverage of the macro node B and the positions of the micro nodes B; determining the proportion of edge users in the micro node B users; determining resource allocation information of the micro nodes B according to the proportion of the edge users; and allocating resources to the micro node B users according to the resource allocation information. Through adoption of the resource allocation method and device, an enhanced technology combination can be selected adaptively according to the dynamic change of the heterogeneous network. Moreover, a proper resource allocation method is adopted in conjunction with the user service quality, so that the throughput of the edge users and the system spectrum efficiency are increased under the condition of meeting the user service quality demand, and the communication quality of the edge users is ensured.

Description

technical field [0001] The present application relates to the field of communication technologies, and in particular to a resource allocation method for an LTE-A heterogeneous network and a resource allocation device for an LTE-A heterogeneous network. Background technique [0002] LTE-A is an upgraded version of LTE (Long Term Evolution, Long Term Evolution). Its purpose is to meet the higher demand and more applications of the wireless communication market in the next few years. Deploying heterogeneous networks in the LTE-A system is to improve the system One of the important ways of performance. Heterogeneous network is a technology that deploys low-power nodes such as micro base station Pico in high-power nodes such as macro base station Macro cells. Due to the large difference in transmit power between macro base station Macro and micro base station Pico and transmission path loss, the micro There is serious interference between the new cell generated by the Pico base ...

AI Technical Summary

Problems solved by technology

The eICIC technology improves the average throughput of the Pico cell while reducing the throughput of the macro base station. Especially when the traffic volume of the macro base station users is large, the ABS scheme is difficult to ensure the business service quality of the macro base station users; although CoMP technology can effectively solve the problem of cell Edge interference problem, but the cooperation between multiple cells requires a large amount of data information, resource allocation, channel state information, base station MCS selection and other information interaction, which has relatively high complexity and long delay. At the same time, CoMP technology also The issue of backward compatibility needs to be considered, especially when there are many nodes, the use of CoMP technology will greatly increase the system overhead and complexity; although the ICIC technology based on carrier aggregation CA can flexibly configure the carrier, it can effectively save the network Node transmit power and reduce the overall interference level of the network, but the SINR (Signal to Interference plus Noise Ratio, Signal to Interference plus Noise Ratio) of different frequency band resource blocks is very different, which brings high difficulty to resource scheduling

It can be seen that the existing research only focuses on the performance and improvement scheme of one of the enhanced technologies, and cannot adapt to the dynamic changes of heterogeneous networks.

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