Next 5G of mobile wireless systems is expected to employ mmWave antenna arrays at both user-equipment (UE) and base station (BS) side, with the possibility to precisely focus the power on the desired spatial directions and boost communications-based applications at an unprecedented scale. On the other side, the initial access (IA) procedure might entail a high latency due to the need of the BS to scan the surrounding space in order to detect new UEs. In this paper we consider a stand-alone 5G system capable to exploit the memory of past UEs detection to speed-up the IA process for new UEs entering the area. In particular, it considers the creation of a knowledge database that accounts for the UE received power and for both the beamsteering and half power beamwidth (HPBW) set at the BS. Numerical results show that the proposed procedure allows to reduce the average number of scans with respect to traditional approaches adopted in the literature, while preserving the same detection performance.
A Low-Latency Initial Access Technique for next 5G Systems / Leoni E.; Guidi F.; Dardari D.. - ELETTRONICO. - 2020-:(2020), pp. 9149329.1-9149329.6. (Intervento presentato al convegno 2020 IEEE International Conference on Communications, ICC 2020 tenutosi a Convention Centre Dublin, irl nel 2020) [10.1109/ICC40277.2020.9149329].
A Low-Latency Initial Access Technique for next 5G Systems
Leoni E.
Writing – Original Draft Preparation
;Guidi F.Writing – Review & Editing
;Dardari D.Writing – Review & Editing
2020
Abstract
Next 5G of mobile wireless systems is expected to employ mmWave antenna arrays at both user-equipment (UE) and base station (BS) side, with the possibility to precisely focus the power on the desired spatial directions and boost communications-based applications at an unprecedented scale. On the other side, the initial access (IA) procedure might entail a high latency due to the need of the BS to scan the surrounding space in order to detect new UEs. In this paper we consider a stand-alone 5G system capable to exploit the memory of past UEs detection to speed-up the IA process for new UEs entering the area. In particular, it considers the creation of a knowledge database that accounts for the UE received power and for both the beamsteering and half power beamwidth (HPBW) set at the BS. Numerical results show that the proposed procedure allows to reduce the average number of scans with respect to traditional approaches adopted in the literature, while preserving the same detection performance.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
