Analysis and Performance Evaluation of Mobility for Multi-Panel User Equipment in 5G Networks

Iqbal, Subhyal Bin; Awada, Ahmad; Karabulut, Umur; Viering, Ingo; Schulz, Philipp; Fettweis, Gerhard

doi:10.1109/vtc2022-spring54318.2022.9860378

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…On the UE-side, the MPUE architecture is considered which assumes an edge design with three directional antenna panels, each with a single antenna element and a maximum gain of 5 dBi [17], [18]. The antenna element radiation pattern for each of the three panels is based on [31].…”

Section: A 5g Network Modelmentioning

confidence: 99%

“…The antenna element radiation pattern for each of the three panels is based on [31]. The UE screen, held by the user, is assumed to be parallel to the ground [17]. In line with 3GPP [33], the signal measurement scheme considered is MPUE-A3, where the UE can measure the RSRPs from the serving cell c 0 and neighboring cells on all three panels simultaneously.…”

Section: A 5g Network Modelmentioning

confidence: 99%

“…For each blockage case, a separate simulation study is considered where all UEs in the network are assumed to experience the type of blockage as defined by the blockage case. For comparison, the ideal Rx antenna element radiation pattern defined by 3GPP [17], [31] is considered (Case VI), where there is no hand blockage for any of the three panels. To the best of our knowledge, there has not been any study documenting the hand blockage probability for each of the respective panels in a real-world mobile environment for the CTIA wide-grip hand phantom model.…”

Section: B Hand Blockage Casesmentioning

confidence: 99%

“…The hand phantom model is modeled using CST Studio Suite (a commercialgrade electromagnetic simulation software suite) [16]. Multipanel UEs [17], [18] are an essential part of 5G-Advanced and future 3GPP releases and therefore this paper considers an MPUE with three antenna panels in an edge design. A detailed analysis of CHO and FCHO is carried out for an extended set of mobility key performance indicators (KPIs) and the key benefits of FCHO are highlighted in terms of combating hand blockage.…”

Section: Introductionmentioning

confidence: 99%

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On the Analysis and Optimization of Fast Conditional Handover With Hand Blockage for Mobility

et al. 2023

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Although frequency range 2 (FR2) systems are an essential part of 5G-Advanced and future 3GPP releases, the mobility performance of multi-panel user equipment (MPUE) with hand blockage is still an area open for research and standardization. In this article, a comprehensive study on the mobility performance of MPUE with hand blockage is performed for conditional handover (CHO) and its potential enhancement denoted by fast conditional handover (FCHO). In contrast to CHO, in FCHO the MPUE can reuse earlier target cell preparations after each handover to autonomously execute subsequent handovers. This saves both the signaling overhead associated with the reconfiguration and re-preparation of target cells after each handover and reduces mobility failures. Results have shown that FCHO offers considerable mobility performance gains as compared to CHO for different hand blockage cases that are dependent on the hand position around the MPUE. For the worst-case hand blockage scenario, it is seen that mobility failures reduce by 10.5% and 19.3% for the 60 km/h and 120 km/h mobility scenarios, respectively. This gain comes at the expense of reserving the handover resources of an MPUE for a longer time given that the target cell configurations are not necessarily released after each handover. In this article, the longer resource reservation problem in FCHO is analysed and three different resource reservation optimization techniques are introduced. Results have shown that these optimization techniques not only reduce the resource reservation time but also significantly reduce the signaling overhead at the possible expense of a tolerable degradation in mobility performance.

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Section: A 5g Network Modelmentioning

confidence: 99%

Section: A 5g Network Modelmentioning

confidence: 99%

Section: B Hand Blockage Casesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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