K-means clustering algorithm for full duplex communication

Abstract

Full duplex communication is a new wireless technology which can at most improve the spectrum efficiency twice. In full duplex system, the UEs receiving data may suffer severe interference from the UEs transmitting signals with same subcarrier. In this paper, a K-means clustering algorithm is stated to lower interference between UEs in different groups and a method of resource allocation is proposed to reduce co-channel interference among neighbor users. Simulation results show that with the proposed algorithm the interference between UEs can be restrained effectively and the spectral efficiency of system has been improved significantly.

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Cite this paper

@article{Sun2016KmeansCA, title={K-means clustering algorithm for full duplex communication}, author={Jie Sun and Zhimin Liu}, journal={2016 2nd IEEE International Conference on Computer and Communications (ICCC)}, year={2016}, pages={1555-1560} }