A Unified Approach for Beam-Split Mitigation in Terahertz Wideband Hybrid Beamforming
arXiv:2209.12097 · doi:10.1109/TVT.2023.3265395
Abstract
The sixth generation networks envision the deployment of terahertz (THz) band as one of the key enabling property thanks to its abundant bandwidth. However, the ultra-wide bandwidth in THz causes beam-split phenomenon due to the use of a single analog beamformer (AB). Specifically, beam-split makes different subcarriers to observe distinct directions since the same AB is adopted for all subcarriers. Previous works mostly employ additional hardware components, e.g., time-delayer networks to mitigate beam-split by realizing virtual subcarrier-dependent ABs. This paper introduces an efficient and unified approach, called beam-split-aware (BSA) hybrid beamforming. In particular, instead of virtually generating subcarrier-dependent ABs, a single AB is used and the effect of beam-split is computed and passed into the digital beamformers, which are subcarrier-dependent while maximizing spectral efficiency. Hence, the proposed BSA approach effectively mitigates the impact of beam-split and it can be applied to any hybrid beamforming architecture. Manifold optimization and orthogonal matching pursuit techniques are considered for the evaluation of the proposed approach in multi-user scenario. Numerical simulations show that significant performance improvement can be achieved as compared to the conventional techniques.
arXiv commentAccepted Paper in IEEE Transactions on Vehicular Technology
References in corpus (14)
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
- Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
- Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
- Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems
- Delay-Phase Precoding for Wideband THz Massive MIMO
- Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems
- Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
- Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
- Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems
- Hybrid Beamforming for Terahertz Multi-Carrier Systems over Frequency Selective Fading
- A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
- Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model
- Terahertz-Band Integrated Sensing and Communications: Challenges and Opportunities
- MmWave Hybrid Array with More Users than RF Chains