An interference control method based on cell dynamic clustering in dense dtdd network

Abstract

The invention belongs to the technical field of mobile communication, and discloses an interference control method based on dynamic clustering of cells in a dense DTDD network. By counting the interference intensity and service difference between cells, base stations are dynamically clustered, so that the The base station uses the same subframe configuration scheme to eliminate cross subframe interference; conduct statistics on the business status in the cluster, and select the TDD subframe ratio that maximizes the throughput in the cluster as the unified subframe configuration scheme in the cluster; Some users in the inner cell perform secondary association; determine the trade-off relationship between the algorithm overhead and network performance gain of the dynamic clustering of the cell, and determine the optimal clustering period for the balance between algorithm overhead and network performance by constructing a utility function. The present invention overcomes the problem in the prior art that the base station is clustered at a fixed clustering period, and the clustering frequency is too slow or too fast, resulting in poor network performance or excessive algorithm overhead, and realizes algorithm overhead and network Balanced optimization for performance gain.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to an interference control method based on dynamic clustering of cells in a dense DTDD network. Background technique [0002] In recent years, dense DTDD network, as a key technology in next-generation mobile communication, has received extensive research and attention. However, due to the close distance between nodes in a dense network, the cross-subframe interference between cells will seriously affect the signal transmission in the network and reduce the performance gain brought by the base station densification and dynamic time division duplex mechanism for the cells. At the same time, the dynamic time division duplex (DTDD) mechanism can flexibly adjust the usage of uplink and downlink resources by dynamically adjusting the number of subframes allocated to the uplink and downlink, but it will bring two new common Channel cross-subframe interference, th...

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Problems solved by technology

In addition, when the dynamic clustering algorithm is used for interference management, setting different clustering periods has a great impact on algorithm overhead and network performance. Accelerating the clustering frequency helps to quickly perceive the load status and dynamically adjust network resources. However, It will bring a large algorithm overhead, which is not conducive to the effective service transmission of the network. Therefore, it is necessary to determine an appropriate clustering period, and save the secondary clustering configuration and user on the basis of ensuring the performance gain of the network through interference management. Associated algorithm overhead, to achieve a compromise between network performance and algorithm overhead

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