Results 151 to 160 of about 1,499 (194)
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A novel RSRP-based E-CID positioning for LTE networks

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017
In this paper, we propose a novel enhanced cell ID (E-CID) based positioning method for LTE network using reference signal received power (RSRP), azimuth parameters and COST 231 Walfish-Ikegami path loss model. The distance between serving eNodeB and user equipment (UE) is calculated using RSRP and COST 231 Walfish-Ikegami path loss model, and based on
Gokhan Çelik, Hasari Celebi
exaly   +2 more sources

The impact of channel environment on the RSRP and RSRQ measurement of handover performance

2011 International Conference on Electronics, Communications and Control (ICECC), 2011
The purpose of this paper is to evaluate the impact of channel environment and bandwidth on the Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ) measurement. Long Term Evolution (LTE) downlink simulation platform is set up to illustrate algorithms and results.
Wu Muqing
exaly   +2 more sources

Dynamic Beam Selection for Beam-RSRP Based Direction Finding in mmW 5G Networks

open access: yes2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2018
This paper considers direction-finding in millimeter wave (mmW) fifth generation (5G) networks by means of beam-based downlink (DL) reference signal received power (RSRP) measurements and subsequent reporting. In particular, we propose two methods that allow user equipments (UEs) to select, in an independent and dynamic manner, the most-relevant beam ...
Elizaveta Rastorgueva-Foi   +4 more
openaire   +3 more sources

Analysis of RSRP measurement accuracy in V2X UE autonomous resource selection

2017 3rd IEEE International Conference on Computer and Communications (ICCC), 2017
With the development of vehicle to everything (V2X), many technical challenges have emerged, among which, the collision avoidance of user equipment (UE) resource selection stands out. Resource reservation and sensing before transmitting are proposed to be effective enhancements.
Yongyu Chang
exaly   +2 more sources

Connected Objects Geo-Localization Based on SS-RSRP of 5G Networks

open access: yesElectronics (Switzerland), 2021
The Global Positioning System (GPS) is not the only way to solve connected objects’ geo-localization problems; it is also possible to use the mobile network infrastructure to geo-locate objects connected to the network, using antennas and signals ...
Ahmed Bannour   +2 more
exaly   +2 more sources

Achieving Wireless Cable Testing for MIMO Terminals Based on Maximum RSRP Measurement [PDF]

open access: yesIEEE Transactions on Antennas and Propagation, 2022
It is essential to perform end-to-end performance testing of multiple-input-multiple-output (MIMO) systems under realistic propagation channel conditions.
Fengchun Zhang   +2 more
exaly   +2 more sources

Comparison of Large-Scale Fading Models with RSRP Measurements

open access: yes2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
Ray tracing methods are gaining popularity for modeling the propagation conditions of wireless links. This adds them to a series of propagation models for wireless channels, making the choice of the appropriate model difficult.
Agnes Fastenbauer   +3 more
openaire   +2 more sources

Localization With Cellular Signal RSRP Fingerprint of Multiband and Multicell [PDF]

open access: yesIEEE Journal on Selected Areas in Communications
Precisely predicting the location of the user in a Global-Navigation-Satellite-System-degraded environment is a highly challenging task. Localization based on cellular signal fingerprints is one of the promising solutions to this problem and has ...
Zhinan Hu   +3 more
openaire   +2 more sources

Uncertainty-Aware RSRP Prediction on MDT Measurements Through Bayesian Learning

open access: yes2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
Accurate and efficient propagation modeling is a key requirement for radio planning in cellular networks. Here, deep learning has recently shown promising performance in real-world evaluations but also requires an extensive amount of diverse training ...
Lukas Eller   +2 more
openaire   +2 more sources

Boosting Federated Learning for Optimization LTE-RSRP Networks

2024 IEEE International Conference on Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA)
Hector Kaschel   +1 more
exaly   +2 more sources

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