Directional Initial Access for Millimeter Wave Cellular Systems
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Abstract (arXiv)
The millimeter wave (mmWave) bands have recently attracted considerable interest for next-generation cellular systems due to the massive available bandwidths at these frequencies. However, a key challenge in designing mmWave cellular systems is initial access -- the procedure by which a mobile establishes an initial link-layer connection to a base station cell. MmWave communication relies on highly directional transmissions and the initial access procedure must thus provide a mechanism by which initial transmission directions can be searched in a potentially large angular space. Design options are compared considering different scanning and signaling procedures to evaluate access delay and system overhead. The channel structure and multiple access issues are also considered. The analysis demonstrates significant benefits of low-resolution fully digital architectures in comparison to single stream analog beamforming.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Nov 2015.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
8 papers.
- 2021Deep learning for location based beamforming with NLOS channelscited by 7
- 2021Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networkscited by 3
- 2022Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systemscited by 1
- 2022UB3: Best Beam Identification in Millimeter Wave Systems via Pure Exploration Unimodal Banditscited by 1
- 2026QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networkscited by 1
- 2021Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communicationscited by 0
- 2021On Single-User Interactive Beam Alignment in Next Generation Systems: A Deep Learning Viewpointcited by 0
- 2022Proactive Resilient Transmission and Scheduling Mechanisms for mmWave Networkscited by 0
- 2026QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks1 Jul 2026
- 2022UB3: Best Beam Identification in Millimeter Wave Systems via Pure Exploration Unimodal Bandits26 Dec 2022
- 2022Proactive Resilient Transmission and Scheduling Mechanisms for mmWave Networks17 Nov 2022
- 2022Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems28 Jul 2022
- 2021Deep learning for location based beamforming with NLOS channels29 Dec 2021
- 2021On Single-User Interactive Beam Alignment in Next Generation Systems: A Deep Learning Viewpoint20 Feb 2021
- 2021Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communications10 Feb 2021
- 2021Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks6 Jan 2021