Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems
arXiv:1708.07605 · doi:10.1109/TSP.2018.2831628
Abstract
When there are a large number of antennas in massive MIMO systems, the transmitted wideband signal will be sensitive to the physical propagation delay of electromagnetic waves across the large array aperture, which is called the spatial-wideband effect. In this scenario, transceiver design is different from most of the existing works, which presume that the bandwidth of the transmitted signals is not that wide, ignore the spatial-wideband effect, and only address the frequency selectivity. In this paper, we investigate spatial- and frequency-wideband effects, called dual-wideband effects, in massive MIMO systems from array signal processing point of view. Taking mmWave-band communications as an example, we describe the transmission process to address the dual-wideband effects. By exploiting the channel sparsity in the angle domain and the delay domain, we develop the efficient uplink and downlink channel estimation strategies that require much less amount of training overhead and cause no pilot contamination. Thanks to the array signal processing techniques, the proposed channel estimation is suitable for both TDD and FDD massive MIMO systems. Numerical examples demonstrate that the proposed transmission design for massive MIMO systems can effectively deal with the dual-wideband effects.
13 pages, 10 figures. Index terms: Massive MIMO, mmWave, array signal processing, wideband, spatial-wideband, beam squint, angle reciprocity, delay reciprocity. Submitted to IEEE Transactions on Signal Processing
References in corpus (1)
Cited by in corpus (52)
- Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
- Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems
- Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
- Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems
- An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
- Hierarchical Codebook based Multiuser Beam Training for Millimeter Wave Massive MIMO
- Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems
- Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks
- An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
- Hybrid Beamforming for Terahertz Multi-Carrier Systems over Frequency Selective Fading
- Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters
- RIS-Enabled SISO Localization under User Mobility and Spatial-Wideband Effects
- A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
- Beamfocusing Optimization for Near-Field Wideband Multi-User Communications
- Near-Field Wideband Extremely Large-scale MIMO Transmission with Holographic Metasurface Antennas
- Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader
- Beamspace Precoding and Beam Selection for Wideband Millimeter-Wave MIMO Relying on Lens Antenna Arrays
- Beam Selection for Wideband Millimeter Wave MIMO Relying on Lens Antenna Arrays
- CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning
- A Framework on Hybrid MIMO Transceiver Design based on Matrix-Monotonic Optimization
- Network Massive MIMO Transmission Over Millimeter-Wave and Terahertz Bands: Mobility Enhancement and Blockage Mitigation
- Near-Field Terahertz Communications: Model-Based and Model-Free Channel Estimation
- Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model
- TTD Configurations for Near-Field Beamforming: Parallel, Serial, or Hybrid?
- Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications
- Compressive Initial Access and Beamforming Training for Millimeter-Wave Cellular Systems
- BSA-OMP: Beam-Split-Aware Orthogonal Matching Pursuit for THz Channel Estimation
- Spatial Lobes Division Based Low Complexity Hybrid Precoding and Diversity Combining for mmWave IoT Systems
- Rethinking Integrated Sensing and Communication: When Near Field Meets Wideband
- Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers
- Ergodic Achievable Rate Maximization of RIS-assisted Millimeter-Wave MIMO-OFDM Communication Systems
- Prospective Multiple Antenna Technologies for Beyond 5G
- Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning
- Frequency Synchronization for Uplink Massive MIMO with Adaptive MUI Suppression in Angle-domain
- Model Aided Deep Learning Based MIMO OFDM Receiver With Nonlinear Power Amplifiers
- Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis
- Airplane-Aided Integrated Next-Generation Networking
- GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
- Deep Learning based Antenna Selection and CSI Extrapolation in Massive MIMO Systems
- Understanding Deep MIMO Detection
- Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things
- Capacity Enhanced Cooperative D2D Systems over Rayleigh Fading Channels with NOMA
- Spatial Wideband Channel Estimation for MmWave Massive MIMO Systems with Hybrid Architectures and Low-Resolution ADCs
- A Model-Driven Deep Learning Method for Massive MIMO Detection
- Beam-space Multiplexing: Practice, Theory, and Trends-From 4G TD-LTE, 5G, to 6G and Beyond
- Dictionary Learning for Channel Estimation in Hybrid Frequency-Selective mmWave MIMO Systems
- Exploiting Beam-Split in IRS-aided Systems via OFDMA
- FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6GHz Channel and A Few Pilots
- Federated Dynamic Neural Network for Deep MIMO Detection
- Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks
- Detection Schemes with Low-Resolution ADCs and Spatial Oversampling for Transmission with Higher-Order Constellations in the Terahertz Band
- Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks