2022
DOI: 10.1109/jsyst.2020.3027757
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Position-Aided Beam Learning for Initial Access in mmWave MIMO Cellular Networks

Abstract: In this article, beam learning based on position information (PI) about mobile station positions in the initial access (IA) of millimeter wave (mmWave) multiple-input-multiple-output (MIMO) cellular networks is investigated. The existing PI-based IA procedure cannot efficiently tackle the position inaccuracy and blockage or may cause a long IA delay because of the inefficient beam learning. Based on the sparse scattering of mmWave signals, the serving area is partitioned into smaller areas and the beams are le… Show more

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Cited by 7 publications
(6 citation statements)
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“…3) Codebook Optimization: IA is the procedure in which a new UE establishes a physical link with a BS to switch from an idle mode to a connected mode [240]. We can treat the IA procedure as localization without UE prior information.…”
Section: Offline Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…3) Codebook Optimization: IA is the procedure in which a new UE establishes a physical link with a BS to switch from an idle mode to a connected mode [240]. We can treat the IA procedure as localization without UE prior information.…”
Section: Offline Optimizationmentioning
confidence: 99%
“…• Iterative search: Hierarchical codebooks can be designed to transmit pilots over wider sectors at the beginning and then narrow down the beams to find the best angular space [244]- [246]. • Scene-aware search: If the position prior or environmental information is available, the beams can be learned for each partitioned area to reduce IA delay [240], [247].…”
Section: Offline Optimizationmentioning
confidence: 99%
“…3) Codebook Optimization: Initial access (IA) is the procedure in which a new UE establishes a physical link with a BS to switch from idle mode to connected mode [192]. We can treat the IA procedure as localization without UE prior information.…”
Section: Offline Optimizationmentioning
confidence: 99%
“…• Iterative search: Hierarchical codebooks can be designed to transmit pilots over wider sectors at the beginning and then narrow down the beams to find the best angular space [196]- [198]. • Scene-aware search: If the position prior or the environmental information is available, the beams can be learned for each partitioned area to reduce IA delay [192], [199]. For these strategies, exhaustive search provides the best coverage and hardware feasibility, but the discovery delay grows linearly with beamforming gain [200], [201].…”
Section: Offline Optimizationmentioning
confidence: 99%
“…M ANY different types of wireless communication networks have been developed and deployed in the recent history. Examples of these networks include cellular [1], [2], sensor [3], [4], Internet of things (IoT) [5], [6] and wireless local area networks (WLAN) [7], [8]. An increased use of these wireless networks has resulted in a very high utilization of the wireless frequency resources.…”
Section: Introductionmentioning
confidence: 99%