Joint Dynamic Radio Resource Allocation and Mobility Load Balancing in 3GPP LTE Multi-Cell Network

Zhu, Shixin; Geng, L.; Li, F.

doi:10.13164/re.2015.0288

Cited by 1 publication

(1 citation statement)

References 19 publications

(23 reference statements)

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“…Recently, 3GPP has sealed the work on LTE Rel-11, Rel-10, Rel-8/9 and Rel-12. A significant aim of LTE Rel-10 is to assure that the LTE accomplishes all the requirements for International Mobile Telecommunications (IMT)-Advanced as defined by International Telecommunications Union (ITU) (Li et al, 2015;ITU, 2008). Along with the constantly increasing number of mobile phones approaching the cellular network every day, operators are swiftly trying to deploy broadband data services and infrastructure to meet the capacity requirements.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of UE Location Techniques in LTE Networks

Zakaria¹,

Ivanek²

2017

American Journal of Applied Sciences

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The goal of this research is to evaluate the location accuracy of User Equipment (UE) in Long Term Evolution (LTE) networks which depends on the timing advance parameters. The ability to locate the subscribers through the network is considered as a significant factor in wireless communication systems. The main method to geolocation based on specified distances from many base stations is stated. The possibility of geolocating a Long Term Evolution (LTE) subscriber station based on the timing advance ranging parameter within the network signal internals is investigated in the paper. Also, simulation is used to describe performance in multiple base station networks that evaluating locations of subscriber stations on a two-dimensional system coordinated. Performance estimation of UE location in LTE networks was analyzed using simulations. Simulations were performed by using MATLAB. The main method for determining the subscriber station location depends on radial distances from multiple base stations. We observe from the results that the calculation error for the network is frivolous and by using four eNodeBs we obtain the most accurate estimation. Our simulation analysis shows that increasing the eNodeBs that used in the network leads to increasing the error to 29 centimeters.

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Section: Introductionmentioning

confidence: 99%