Iterative Joint Beamforming Training with Constant-Amplitude Phased Arrays in Millimeter-Wave Communication
arXiv:1511.02325 · doi:10.1109/LCOMM.2014.040214.140351
Abstract
In millimeter-wave communications (MMWC), in order to compensate for high propagation attenuation, phased arrays are favored to achieve array gain by beamforming, where transmitting and receiving antenna arrays need to be jointly trained to obtain appropriate antenna weight vectors (AWVs). Since the amplitude of each element of the AWV is usually constraint constant to simplify the design of phased arrays in MMWC, the existing singular vector based beamforming training scheme cannot be used for such devices. Thus, in this letter, a steering vector based iterative beamforming training scheme, which exploits the directional feature of MMWC channels, is proposed for devices with constant-amplitude phased arrays. Performance evaluations show that the proposed scheme achieves a fast convergence rate as well as a near optimal array gain.
4 pages
References in corpus (1)
Cited by in corpus (8)
- Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication
- Millimeter Wave MIMO Channel Estimation using Overlapped Beam Patterns and Rate Adaptation
- Iterative Eigenvalue Decomposition and Multipath-Grouping Tx/Rx Joint Beamforming for Millimeter-Wave Communication
- Exploiting Device-to-Device Communications to Enhance Spatial Reuse for Popular Content Downloading in Directional mmWave Small Cells
- Boosting Spatial Reuse via Multiple Paths Multi-Hop Scheduling for Directional mmWave WPANs
- Channel Estimation and Transmission for Intelligent Reflecting Surface Assisted THz Communications
- Low Complexity Hybrid Precoding and Channel Estimation Based on Hierarchical Multi-Beam Search for Millimeter-Wave MIMO Systems
- Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach