Geometry Based Multi Link Channel Modeling for High Speed Train Communication Networks
The performance of distributed communication systems is commonly subject to the cross correlation characteristics of multi link channels. In this paper, we concentrate on the modeling of multi link small scale fading (SSF) channels in high speed train (HST) communication networks with distributed base stations according to the classical geometry based stochastic model (GBSM) To appropriately describe a multi link propagation scenario in the HST communication network, a novel geometrical model considering a line of sight component, a single bounced one ring model, and a double bounced ellipse ring model is proposed. Based on the proposed GBSM, the expression of multi link channel impulse responses (CIRs) is obtained, and multi link cross correlation functions are derived and used for numerical analysis. In addition, realistic channel measurements are conducted in the existing HST long term evolution (LTE) networks and multi link CIRs are acquired using a time delay window based partitioning scheme. Finally, the SSF cross correlation coefficient is extracted by the multi link channel data and is used to validate the utility of the proposed model.
IEEE Transactions on Intelligent Transportation Systems