Port Selection for Fluid Antenna Systems
Port Selection for Fluid Antenna Systems
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DOI：
10.1109/lcomm.2022.3152451
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发表时间：
2022-01
期刊：
影响因子：
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通讯作者：
Zhi Chai;Kai‐Kit Wong;K. Tong;Yu Chen;Yangyang Zhang
中科院分区：
文献类型：
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作者：
Zhi Chai;Kai‐Kit Wong;K. Tong;Yu Chen;Yangyang Zhang
流体天线系统有望通过将辐射元件的位置从给定空间的大量规定位置切换到最理想的位置，在移动设备的小空间中获得巨大的分集。先前的研究表明，如果选择具有最大接收信噪比（SNR）的位置，流体天线系统将具有良好的性能。然而，选择最佳位置（称为端口选择）需要来自端口的大量 SNR 观测结果，并且可能被证明是不可行的。当系统仅观察到几个端口时，这封信通过结合机器学习方法和解析近似，设计了许多快速端口选择算法来解决这个问题。仿真结果表明，仅观察 10% 的端口，就可以将中断概率降低一个数量级以上。即使在仅观察到一个端口的极端情况下，使用所提出的算法也可以显着提高性能。
Fluid antenna system promises to obtain enormous diversity in the small space of a mobile device by switching the position of the radiating element to the most desirable position from a large number of prescribed locations of the given space. Previous researches have revealed the promising performance of fluid antenna systems if the position with the maximum received signal-to-noise ratio (SNR) is chosen. However, selecting the best position, referred to as port selection, requires a huge number of SNR observations from the ports and may prove to be infeasible. This letter tackles this problem by devising a number of fast port selection algorithms utilizing a combination of machine learning methods and analytical approximation when the system observes only a few ports. Simulation results illustrate that with only 10% of the ports observed, more than an order of magnitude reduction in the outage probability can be achieved. Even in the extreme cases where only one port is observed, considerable performance improvements are possible using the proposed algorithms.