Low-Latency Channel Estimation for mmWave Massive MIMO-OFDM Systems Based on Beam-Delay Domain Pattern
- Resource Type
- Conference
- Authors
- Qiu, Zhikai; Zhu, Pengcheng; Li, Jiamin; Jiang, Yanxiang; Wang, Yan
- Source
- 2023 IEEE 23rd International Conference on Communication Technology (ICCT) Communication Technology (ICCT), 2023 IEEE 23rd International Conference on. :546-551 Oct, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Simulation
Wireless networks
Channel estimation
Estimation
Millimeter wave communication
Low latency communication
Narrowband
channel estimation
mmWave
massive MIMO-OFDM
beam-delay domain pattern
low-latency
- Language
- ISSN
- 2576-7828
The sixth-generation (6G) wireless network aims to facilitate multi-connectivity, ultra-reliable and low-latency communications, while millimeter-wave (mmWave) massive multiple-input multiple-output (massive MIMO) communication is a promising technology as it exploits vast available mm Wave bandwidth. Most of the existing mm Wave channel estimation schemes are designed for narrowband systems or exhibit limited performance as they independently estimate the channel at different frequencies. This paper investigated a low-latency scheme for channel estimation in mmWave massive MIMO-OFDM systems, utilizing the beam-delay domain pattern. We first explore the sparse 2-Dimensional (2D) pattern of mmWave beam-delay domain channel and formulate the problem as 2 phases: spatial-frequency domain channel observation and sparse channel recovery. The latest sparse signal recovery method is referenced and we adapt it to the Beam-Delay Channel Estimation (BDCE) algorithm in the beam-delay domain for sparse channel estimation. Simulation results demonstrate that the proposed BDCE algorithm achieves superior accuracy and reduces channel estimation latency compared with traditional estimation algorithms.