An Interference Management Method for Ultra-Dense Networking

Abstract

The invention discloses an interference management method for ultra-dense networking. The method includes: calculating the interference weight value of each user, and constructing an interference graph according to the interference weight values ​​of all users; The value is assigned to all users in the interference graph to eliminate the interference of the base station to the user; the signals received by the users in the same cluster are respectively reconstructed and the SINR of each user is calculated; the SINR is calculated according to the calculated user SINR The total capacity of all users. Under the system model of ultra-dense network, the present invention combines the network end and the user end to carry out the interference management method, wherein the network end uses the grouping method, and the user end uses serial interference cancellation receivers to reduce the interference from the base station and the user respectively , to increase system capacity. This interference management solution has strong practicability in the future 5G ultra-dense networking environment.

Description

technical field [0001] The invention relates to the field of mobile communication. More specifically, it relates to an interference management method for ultra-dense networking. Background technique [0002] Ultra-dense networking is considered to be one of the key technologies to improve the capacity of the fifth-generation mobile communication system. This technology is a new networking method that deploys more low-power nodes on the basis of heterogeneous networks. In order to reduce the interference between data and control channels, low frequency bands (less than 6GHz) are used to transmit control information, and high frequency bands (30GHz to 300GHz) are used to transmit data information, so that the control layer and data layer are separated from each other and the system capacity is improved. In the future, more than 50% of voice services and more than 70% of data services will be generated among indoor users. Therefore, in order to ensure indoor service requiremen...

AI Technical Summary

Problems solved by technology

Time-domain eICIC is a kind of eICIC technology, and its typical technology is Almost Blank Subframe (ABSF). Both this technology and dynamic resource allocation technology can effectively reduce the cross-layer interference between the home base station and the macro user. However, the disadvantage is that the same-layer interference is not considered; cell range expansion is a technology proposed to reduce the burden on the macro base station and ensure load balancing. It can reduce the cross-layer interference problem in the uplink, but it will make the extended The users in the cell receive strong interference from the macro base station, so the signal quality of the downlink will be reduced; the method of constructing the interference graph can significantly improve the throughput of the cell edge users while considering the same-layer and cross-layer interference, but this method requires Traversing the geographical location information of each user to calculate the interference weight, and then construct the interference graph. With the dense deployment of cells, this method will have high complexity

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