论文标题

使用单个飞行员子载波

Joint Channel Estimation and Equalization in Massive MIMO Using a Single Pilot Subcarrier

论文作者

Li, Danilo Lelin, Farhang, Arman

论文摘要

该字母的重点是基于正交频施加(OFDM)大量多输入多输出(MIMO)系统中大型飞行员开销的降低。我们提出了一种新型的联合通道估计和均衡技术,该技术仅需要一个飞行员子载波,通过数量级减少了飞行员开销。我们利用跨越多个子载波频段的连贯带宽。这允许在单个子载波处与通道频率响应(CFR)均衡的子载波频带。随后,检测到的数据符号被视为虚拟飞行员,并且其CFR被更新而没有其他飞行员开销。此后,剩余的通道估计和均衡可以以滑动方式进行。通过这种方法,我们使用多个通道估计值将每个子载波的数据均衡。这使我们能够利用频率多样性并改善检测性能。最后,我们通过广泛的数值分析来证实上述主张,这表明我们所提出的技术的优越性能与常规方法相比。

The focus of this letter is on the reduction of the large pilot overhead in orthogonal frequency division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) systems. We propose a novel joint channel estimation and equalization technique that requires only one pilot subcarrier, reducing the pilot overhead by orders of magnitude. We take advantage of the coherent bandwidth spanning over multiple subcarrier bands. This allows for a band of subcarriers to be equalized with the channel frequency response (CFR) at a single subcarrier. Subsequently, the detected data symbols are considered as virtual pilots, and their CFRs are updated without additional pilot overhead. Thereafter, the remaining channel estimation and equalization can be performed in a sliding manner. With this approach, we use multiple channel estimates to equalize the data at each subcarrier. This allows us to take advantage of frequency diversity and improve the detection performance. Finally, we corroborate the above claims through extensive numerical analysis, showing the superior performance of our proposed technique compared to conventional methods.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源