Mapping between baseband units and remote radio heads based on channel prediction in CRAN

In cloud radio access networks, it is difficult to efficiently use the baseband unit resources. To improve resource utilisation, this paper proposes the Predictive Borrow and Lend method, which maps between baseband units and remote radio heads based on channel prediction. The channel state is predicted based on regularised particle filters, and multiple remote radio heads are mapped to a single baseband unit depending on baseband unit capacity. The proposed method aims at maximising the number of busy baseband units, by combining remote radio heads to a single baseband unit. When baseband unit utilisation exceeds the upper limit, the remote radio heads are switched to another baseband unit with low resource usage. The delay is also reduced; and the spectral and energy efficiency of the proposed method are improved, compared to borrow and lend method.