Dynamic mmWave beam tracking for high speed railway communications

Meilin Gao, B. Ai, Yong Niu, Z. Zhong, Yiru Liu, Guoyu Ma, Zhewei Zhang, Dapeng Li
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引用次数: 31

Abstract

With the worldwide deployment of the railway, high-speed railway (HSR) tends to evolve into an intelligent transportation system with efficient and green transportation characteristics. To meet the explosive growth of wireless data traffic in “smart rail”, millimeter-wave (mmWave) communications are used to offer several Gbps data rate via beamforming structures by utilizing huge unlicensed bandwidth. In this paper, the beam tracking strategies for mmWave HSR communications are investigated, and a dynamic beam tracking strategy is proposed by adjusting the beam direction and beam width jointly, where the main idea is to maximize the sum-rate capacity while satisfying the critical quality of service (QoS) requirements. Then it boils down to a demanding non-convex problem, and a near-optimal solution is provided based on the problem decomposition and the genetic algorithm. Finally, along with the moving trains the proposed beam tracking scheme can provide near-optimal capacity performance with a low outage probability, and reduce the implementation complexity.
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高速铁路通信的动态毫米波波束跟踪
随着铁路在世界范围内的广泛部署,高速铁路向着具有高效、绿色运输特征的智能交通系统发展。为了满足“智能轨道”无线数据流量的爆炸性增长,毫米波(mmWave)通信通过波束成形结构利用巨大的免许可带宽提供数Gbps的数据速率。本文研究了毫米波高铁通信中的波束跟踪策略,提出了一种通过波束方向和波束宽度共同调整的动态波束跟踪策略,其主要思想是在满足临界服务质量要求的同时最大限度地提高和速率容量。然后将其归结为一个要求很高的非凸问题,并基于问题分解和遗传算法给出了近似最优解。最后,随着列车的移动,所提出的波束跟踪方案可以提供接近最优的容量性能和低中断概率,并降低了实现的复杂性。
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