Initial Access in 5G mm-Wave Cellular Networks
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Abstract (arXiv)
The massive amounts of bandwidth available at millimeter-wave frequencies (roughly above 10 GHz) have the potential to greatly increase the capacity of fifth generation cellular wireless systems. However, to overcome the high isotropic pathloss experienced at these frequencies, high directionality will be required at both the base station and the mobile user equipment to establish sufficient link budget in wide area networks. This reliance on directionality has important implications for control layer procedures. Initial access in particular can be significantly delayed due to the need for the base station and the user to find the proper alignment for directional transmission and reception. This paper provides a survey of several recently proposed techniques for this purpose. A coverage and delay analysis is performed to compare various techniques including exhaustive and iterative search, and Context Information based algorithms. We show that the best strategy depends on the target SNR regime, and provide guidelines to characterize the optimal choice as a function of the system parameters.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Feb 2016.
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Citing papers per year: 2021: 5; 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
8 papers.
- 2021Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoffcited by 30
- 2021A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applicationscited by 7
- 2021Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyondcited by 6
- 2021Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobilitycited by 5
- 2022Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimationcited by 5
- 2021Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networkscited by 3
- 2023Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivitycited by 1
- 2026A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensingcited by 0
- 2026A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing21 May 2026
- 2023Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity13 Jan 2023
- 2022Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation25 May 2022
- 2021A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies and Applications10 Dec 2021
- 2021Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond25 Mar 2021
- 2021Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility19 Feb 2021
- 2021Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff18 Feb 2021
- 2021Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks6 Jan 2021