Abstract
Long-Term Evolution for Metro (LTE-M) is adopted as the data communication system in urban rail transit to exchange bio-direction train-wayside information. Reliable data communication is essential in LTE-M systems for ensuring trains’ operation safety and efficiency. However, the inter-cell inference problem exists in LTE results in throughput reduction, especially when trains are in the edge area of adjacent cells, and has negative effects on train operation. The uplink power control and radio resource scheduling scheme is studied in LTE-M system which differentiates from public cellular networks in user numbers and the availability of the trains’ locations. Since the locations of the trains are available, the interferences from the neighbouring cells can be calculated, and a location based algorithm together with soft frequency reuse is designed. In addition, a proportional fair algorithm is taken to improve uplink radio resource scheduling considering the fairness to different train-wayside communication service requirements. Through simulation, the practicability of the proposed schemes in communication system of urban rail transit is verified in aspects of radio power control and data communication throughput.
Highlights
With the development of urban rail transit in big cities, the DCS (Data CommunicationSystem) in it introduces advanced and reliable technologies
Due to the orthogonality of OFDM, the signal interference within one cell is small, but the performance of the Long-Term Evolution for Metro (LTE-M) system is influenced by inter-cell interference (ICI) because all cells adopt the same frequency band, especially when trains are in a cell-edge area
This paper studies the uplink power control and radio resource scheduling of the LTE-M system
Summary
With the development of urban rail transit in big cities, the DCS Considering the position of trains in metro lines, a power-control algorithm based on location is designed in this paper with interference coordination methods of SFR (Soft Frequency Reuse). Zhu takes the dynamic SFR method to study this issue in urban rail transit and achieves some results in [14], but the factor of train locations is not taken into consideration Compared with these mentioned works, this paper contributes to developing a novel power-control and scheduling algorithm based on the location of terminals in urban rail transit.
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