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Stochastic Learning Robust Beamforming for Millimeter-Wave Systems with Path Blockage
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2020-09-01 , DOI: 10.1109/lwc.2020.2997366
Hiroki Iimori , Giuseppe Thadeu Freitas de Abreu , Omid Taghizadeh , Razvan-Andrei Stoica , Takanori Hara , Koji Ishibashi

We introduce a new robust, outage minimum, millimeter wave (mmWave) coordinated multipoint (CoMP) beamforming scheme to combat the random path blockages typical of mmWave systems. Unlike state-of-the-art methods, which are of limited applicability in practice due to their combinatorial nature which leads to prohibitive complexity, the proposed method is based on a stochastic-learning-approach, which learns crucial blockage patterns without resorting to the well-known worst-case optimization framework. Simulation results demonstrate the superior performance of the proposed method both in terms of outage probability and effective achievable rate.

中文翻译:

具有路径阻塞的毫米波系统的随机学习鲁棒波束成形

我们引入了一种新的稳健、中断最少的毫米波 (mmWave) 协调多点 (CoMP) 波束成形方案,以对抗毫米波系统典型的随机路径阻塞。与最先进的方法不同,由于它们的组合性质导致了令人望而却步的复杂性,这些方法在实践中的适用性有限,所提出的方法基于随机学习方法,它学习关键的阻塞模式,而无需求助于著名的最坏情况优化框架。仿真结果证明了所提出的方法在中断概率和有效可实现率方面的优越性能。
更新日期:2020-09-01
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