A Probabilistic Approach to Mobile Location Estimation within Cellular Networks

Zhou, Junjie; Chu, Kenneth Man-Kin; Ng, Joseph Kee‐Yin

doi:10.1109/rtcsa.2009.43

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…where is terrain coefficient for terrain , is known as path loss exponent, is the gap between transmitter and receiver equipment, and is the shadowing effect [31,[34][35][36].…”

Section: Path Loss Formulamentioning

confidence: 99%

Towards the Elimination of White Spots in Mobile WiMAX Grids through Time Efficient Cognitive Vertical Handoff Algorithm

Minhas

Qaddus

Khan

et al. 2016

Mobile Information Systems

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During the past two decades particularly, there has been incredible growth in the telecommunication industry which evolved the demand for real time applications. Mobile grids and internet service providers are offering competitive real time services to customers in order to fulfil their daily demands. Nowadays, WiMAX has become a key player in telecommunication industry for providing cost effective communication solutions to customers residing in developed and underdeveloped regions. Moreover, a significant role of WiMAX technology is to fill the gap between the first-world and third-world countries. WiMAX technology offers affordable low cost wireless multimedia services to its customers by using point to multipoint propagation methods. Over the past few years, the problem of white spots in WiMAX grids has been reported in the literature extensively. Consequently, this issue has got a lot of attention from researchers. In order to disentangle the phenomenon of white spots, a novel algorithm based on time efficient cognitive vertical handoff scheme has been presented in this paper. The proposed algorithm is based upon principles of cognitive heterogeneous wireless grids. The simulation results have shown that the proposed algorithm is a promising candidate to overcome the problem of white spots in mobile WiMAX grids.

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“…where is terrain coefficient for terrain , is known as path loss exponent, is the gap between transmitter and receiver equipment, and is the shadowing effect [31,[34][35][36].…”

Section: Path Loss Formulamentioning

confidence: 99%

Towards the Elimination of White Spots in Mobile WiMAX Grids through Time Efficient Cognitive Vertical Handoff Algorithm

Minhas

Qaddus

Khan

et al. 2016

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…A fusion algorithm was employed to obtain the final location estimation from both the satellite-based and the networkbased systems. [10] designed a directional propagation model, the Modified Directional Propagation Model (MDPM), which makes use of a common signal propagation model to perform location estimation. It is a signal strength based algorithm which estimates the location of the Mobile Station by signal strength received from the nearly base stations.…”

Section: Introductionmentioning

confidence: 99%

Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network

Abdulwahhab¹

2014

IJCA

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In this paper, the memorization capability of a multilayer interpolative neural network is exploited to estimate a mobile position based on three angles of arrival. The neural network is trained with ideal angles-position patterns distributed uniformly throughout the region. This approach is compared with two other analytical methods, the average-position method which relies on finding the average position of the vertices of the uncertainty triangular region and the optimal position method which relies on finding the nearest ideal angles-position pattern to the measured angles. Simulation results based on estimations of the mobile position of particles moving along a nonlinear path show that the interpolative neural network approach outperforms the two other methods in its estimations for different noise conditions. General TermsNeural networks. KeywordsAngle of arrival (AOA), average position, optimal position, interpolative neural network.

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A Probabilistic Approach to Mobile Location Estimation within Cellular Networks

Cited by 2 publications

References 11 publications

Towards the Elimination of White Spots in Mobile WiMAX Grids through Time Efficient Cognitive Vertical Handoff Algorithm

Towards the Elimination of White Spots in Mobile WiMAX Grids through Time Efficient Cognitive Vertical Handoff Algorithm

Mobile Position Estimation based on Three Angles of Arrival using an Interpolative Neural Network

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