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How Reliable is MDT Based Autonomous Coverage Estimation in the Presence of User and BS Positioning Error?

Onireti, OS, Akbari, I, Imran, A, Imran, M and Tafazolli, R (2016) How Reliable is MDT Based Autonomous Coverage Estimation in the Presence of User and BS Positioning Error? IEEE Wireless Communications Letters. pp. 196-199.

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Abstract

Minimization of drive test (MDT) has recently been standardized by 3GPP as a key self organizing network (SON) feature. MDT allows coverage to be estimated at the base station (BS) using user equipment (UE) measurement reports with the objective to eliminate the need for drive tests. However, most MDT based coverage estimation methods recently proposed in literature assume that UE position is known at the BS with 100% accuracy, an assumption that does not hold in reality. In this paper we develop an analytical model that allows the quantification of error in MDT based autonomous coverage estimation (ACE) as a function of error in UE as well as BS positioning. Our model also allows characterization of error in ACE as function of standard deviation of shadowing.

Item Type: Article
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Onireti, OSUNSPECIFIEDUNSPECIFIED
Akbari, IUNSPECIFIEDUNSPECIFIED
Imran, AUNSPECIFIEDUNSPECIFIED
Imran, MUNSPECIFIEDUNSPECIFIED
Tafazolli, RUNSPECIFIEDUNSPECIFIED
Date : April 2016
Uncontrolled Keywords : Self-organization, Coverage estimation, Position estimation error
Additional Information : Copyright 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 13 Jan 2016 10:48
Last Modified : 19 Jul 2016 09:42
URI: http://epubs.surrey.ac.uk/id/eprint/809735

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