With the development of wireless communication, higher requirements arise for train-ground wireless communications in high-speed railway (HSR) scenarios. The millimeter-wave (mm-wave) frequency band with rich spectrum resources can provide users in HSR scenarios with high performance broadband multimedia services, while the full-duplex (FD) technology has become mature. In this paper,we study train-ground communication system performance in HSR scenarios with mobile relays (MRs) mounted on rooftop of train and operating in the FD mode. We formulate a nonlinear programming problem to maximize network capacity by allocation of spectrum resources. Then, we develop a sequential quadratic programming (SQP) algorithm based on the Lagrange function to solve the bandwidth allocation optimization problem fortrack-side base station (BS) and MRs in this mm-wave train-ground communication system. Extensive simulation results demonstrate that the proposed SQP algorithm can effectively achieve high network capacity for train-ground communication in HSR scenarios while being robust to the residual self-interference (SI).

中文翻译：

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高铁场景下毫米波车地通信资源分配


随着无线通信的发展，高铁场景对车地无线通信提出了更高的要求。毫米波（mm-wave）频段拥有丰富的频谱资源，可为高铁场景用户提供高性能宽带多媒体业务，全双工（FD）技术也已趋于成熟。在本文中，我们研究了高铁场景中车地通信系统的性能，其中移动中继器（MR）安装在列车车顶并以 FD 模式运行。我们制定了一个非线性规划问题，通过分配频谱资源来最大化网络容量。然后，我们开发了一种基于拉格朗日函数的顺序二次规划（SQP）算法来解决毫米波车地通信系统中轨边基站（BS）和MR的带宽分配优化问题。大量仿真结果表明，所提出的SQP算法可以有效地实现高铁场景下车地通信的高网络容量，同时对残余自干扰（SI）具有鲁棒性。