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A Unified Line-of-Sight Probability Model for Commercial 5G Mobile Network Deployments

Townend, Dave and Walker, Stuart D and Sharples, Adrian and Sutton, Andy (2022) 'A Unified Line-of-Sight Probability Model for Commercial 5G Mobile Network Deployments.' IEEE Transactions on Antennas and Propagation, 70 (2). pp. 1291-1297. ISSN 0018-926X

A_Unified_Line-of-Sight_Probability_Model_for_Commercial_5G_Mobile_Network_Deployments.pdf - Accepted Version

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In this paper we present a novel analytical approach used to derive a new multi-scenario line-of-sight (LOS) probability model for cellular network deployments in the UK. The approach considers the use of lamp post databases as statistically representative geo-spatial data points for evaluation of LOS likelihood from macro cellular base stations. Crucially, the proposed model is built on a high resolution (0.25-1 m) 3D digital surface model underpinned by real network and environmental datasets and validated with supporting field measurements. This work unifies all common cell site classification types; urban, suburban and rural into a single 3D LOS statistical probability model whilst also addressing the influence of endpoint height properties up to 10 m. The contributions outlined in this paper have applications in statistical path loss modelling and coverage/outage probability. They also have direct application in deployment modelling of mmWave (millimeter wave) mobile access networks (24.25-52.6 GHz) and wireless x-haul transport networks (71-174.8 GHz).

Item Type: Article
Uncontrolled Keywords: mobile network; deployment modelling; millimeter wave (mmWave); channel modelling; line-of-sight probability
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 Jan 2022 17:45
Last Modified: 28 Feb 2022 14:19

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