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Adaptive beamwidth optimization under Doppler ICI and positioning errors at mmWave bands
Vehicular Communications ( IF 6.7 ) Pub Date : 2022-01-24 , DOI: 10.1016/j.vehcom.2022.100456
Christian Ballesteros 1 , Andreas Pfadler 2 , Luca Montero 1, 3 , Jordi Romeu 1 , Luis Jofre-Roca 1
Affiliation  

The growing trends towards massive antenna arrays with focusing capabilities has enabled the use of higher frequencies at the cost of more complex systems. In the particular case of vehicular communications, millimeter-wave (mmWave) communications are expected to unleash a set of advanced use cases with stringent spectrum needs. However, dealing with very directive patterns and high frequencies entail additional challenges such as beam misalignment and Doppler effect. This paper presents a beam optimization procedure for vehicle-to-network (V2N) systems in which a base station communicates with high-speed users. Aided by the a priori knowledge of the vehicle location, the base station is able to estimate the average signal-to-interference-plus-noise ratio (SINR) until the next beam refresh considering the positioning accuracy and the Doppler inter-carrier interference (ICI). The estimation includes the antenna beamwidth, which can be optimized to maximize the achievable throughput. The numerical results indicate that the SINR can be significantly enhanced compared to beam sweeping with identical hierarchical codebooks while reducing the probability of outage.



中文翻译:

多普勒 ICI 下的自适应波束宽度优化和毫米波频段的定位误差

具有聚焦能力的大规模天线阵列的发展趋势使得能够以更复杂的系统为代价使用更高的频率。在车载通信的特定情况下,毫米波 (mmWave) 通信有望释放出一系列具有严格频谱需求的高级用例。然而,处理非常有方向性的模式和高频会带来额外的挑战,例如波束未对准和多普勒效应。本文提出了一种用于车辆到网络 (V2N) 系统的波束优化程序,其中基站与高速用户进行通信。借助车辆位置的先验知识,考虑到定位精度和多普勒载波间干扰(ICI),基站能够估计到下一次波束刷新之前的平均信干噪比(SINR)。估计包括天线波束宽度,可以对其进行优化以最大化可实现的吞吐量。数值结果表明,与使用相同分层码本的波束扫描相比,SINR 可以显着提高,同时降低中断概率。

更新日期:2022-01-31
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