System Level Performance Evaluation of Location Aware Beamforming in 5G Ultra-Dense Networks

Fokin, Grigoriy; Bachevsky, Sergey; Sevidov, Vladimir

doi:10.1109/eexpolytech50912.2020.9243970

Cited by 20 publications

(2 citation statements)

References 16 publications

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“…HPBW for variable element spacing in a UCCA array. A mn e i(2π/λ){m×h(θ, φ)+n×g(θ, φ)} , (7) where the number of elements along the x and y axis are N x , and N y with element spacing d x , and d y . Here A mn denotes the beamformer weight, and…”

Section: Beamforming Performance Criteriamentioning

confidence: 99%

Performance of Large Aperture UCCA Arrays in a 5G User Dense Network

Hasan¹,

Saquib²

2022

Preprint

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The transmitted signals in the fifth generation (5G) wireless networks suffer from significant path loss due to the use of higher frequencies in Sub-6 GHz and millimeter-wave (mmWave) bands. Inter-user interference in an ultra-dense network offers additional challenges to provide a high data rate. Therefore, it is desirable to generate narrow beams to extend the coverage of a 5G network by increasing antenna gain and improve its capacity by reducing the inter-user interference. This fact leads us to address the use of large aperture uniform concentric circular antenna (UCCA) arrays for 5G beamforming in massive multiple-input-multiple-output (MIMO) technology. Our analysis demonstrates that a UCCA with a larger antenna element spacing is capable of generating a significantly narrower beam with a moderate side-lobe level than a rectangular planar antenna (RPA) array while operating with the same number of antenna elements. This capability of the UCCA is analyzed to discover the performance gain of a 5G network.

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Section: Beamforming Performance Criteriamentioning

confidence: 99%

Performance of Large Aperture UCCA Arrays in a 5G User Dense Network

Hasan¹,

Saquib²

2022

Preprint

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“…The development of this approach for ultra-dense networks with Line-of-Sight (LOS) radio links is the so-called location awareness of neighboring network devices [4] and the convergence of radio communication, sensing, and positioning technologies in 6G networks [5,6]. Unlike 2G-4G cellular networks of previous generations, an increased number of gNBs per unit area and/or volume, comprising infrastructure of 5G/B5G/6G radio access networks (RANs), allows not only UE location estimation applications, but also location-aware communication (LAC) and location-aware beamforming (LAB) [26][27][28][29], becoming practically realizable not only in gNBs, but also in UE with transition to millimeter wave (mmWave).…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Topology Search Using Dilution of Precision Criterion in Ultra-Dense Network Positioning Service Area

Fokin

Koucheryavy

2023

Mathematics

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User equipment (UE) location estimation in emerging 5G/B5G/6G Ultra-Dense Networks (UDNs) is a breakthrough technology in future wireless info-communication ecosystems. Apart from communication aspects, network infrastructure densification promises significant improvement in UE positioning accuracy. Unlike networks of previous generations, an increased number of gNodeBs (gNBs) per unit area and/or volume in UDNs allows to perform measurements for UE positioning only with those base stations whose topologies are most suitable from the geometric point of view. Quantitative measurements of gNB topology suitability include horizontal (HDOP), vertical (VDOP), and position (PDOP) dilution of the precision (DOP) criteria on the plane, in height, and in space, respectively. In the current work, we formalize a set of methods for gNB topology search using time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA), and combined TOA–AOA and TDOA-AOA measurements. The background of the topology search using DOP criteria is a significantly increased number of gNBs per unit volume in UDNs. Based on a simulation, we propose a novel approach for a topology search in a positioning service area, resulting in a PDOP less than one for the Gazprom Arena with only five gNBs. The contribution of the current research includes algorithm and software for an iterative search of all possible gNB and UE locations in space, minimizing UE geometric DOP. The practical application of the algorithm is the gNB topology substantiation for the given positioning scenarios in 5G/B5G/6G UDNs.

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