Slicing-Enabled Resource Management for Moving Networks with Imperfect Train-to-Ground Downlink

The intelligent development of high-speed railways (HSRs) necessitates the support of multiple services to ensure the safe and reliable operations of trains, and high-quality travel experiences for passengers. Network slicing offers a promising solution through isolated and service-specific radio resource management. However, meeting heterogeneous quality of service (QoS) requirements in HSR communications with imperfect channel state information (CSI) presents a great challenge. In this paper, we propose a bandwidth allocation and slicing puncture strategy in a train-to-ground moving network to support safetyrelated driver assistance services (DAS) and high-throughput video-on-demand services (VDS) for passengers. We formulate the resource slicing problem to minimize system resource block allocation, considering the throughput constraint of VDS and the latency and jitter constraints of VDS. The original problem is divided into two subproblems: VDS RB allocation and DAS puncturing. For VDS RB allocation, we transform the subproblem into a convex form and derive a closed-form expression. For DAS puncturing, a Genetic-based mini-slots puncturing (GMP) algorithm is proposed to address the non-convexity. Simulation results demonstrate the effectiveness of the proposed block coordinate descent-based RB allocation and puncturing (BCDAP) algorithm under imperfect CSI conditions, outperforming the baseline schemes.