NDLI: Computational complexity reduction in Taguchi method based joint optimization of antenna parameters in LTE-A networks

Content Provider	IEEE Xplore Digital Library
Author	Yongfeng Diao Xiang Gui Min Zhang Dow, A.
Copyright Year	2013
Description	Author affiliation: Sch. of Eng. & Adv. Tech., Massey Univ., Palmerston North, New Zealand (Yongfeng Diao; Xiang Gui) \|\| Alcatel-Lucent NZ, Wellington, New Zealand (Dow, A.) \|\| Alcatel-Lucent UK, Swindon, UK (Min Zhang)
Abstract	In Long Term Evolution-Advanced (LTE-A) cellular networks, minimizing inter-cell interference is the key to maximizing coverage and capacity. This can be achieved by setting the antenna parameters such as azimuth orientations and tilts to the optimal values. Due to the interdependencies between these parameters, finding the optimal configuration is a time-consuming and complex task. Among the various algorithms proposed for this task, the joint optimization approach based on the Taguchi method (TM) is a recent development that has been shown to be promising. This paper presents some further improvements to the existing approach aiming at enhancing optimization performance and reducing computational complexity. The proposed improvements include the use of the mixed-level Nearly-Orthogonal Array (NOA) to cater for the different optimization ranges of different types of parameters, an improved mapping function to select testing values that are more representative of the optimization range, and a hybrid approach using multiple NOAs with decreasing number of experiments to exchange small degradation in optimization performance for significant reduction in computational complexity. The effectiveness of the proposed improvements is demonstrated by numerical examples.
Starting Page	25
Ending Page	30
File Size	522637
Page Count	6
File Format	PDF
ISBN	9781467346733
e-ISBN	9781467346757
e-ISBN	9781467346740
DOI	10.1109/AusCTW.2013.6510039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-29
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement mixed-level NOA Long Term Evolution-Advanced (LTE-A) antenna azimuth orientation nearly-orthogonal array (NOA) Computational complexity Optimization Azimuth antenna tilt Tin Joints Antennas Taguchi method
Content Type	Text
Resource Type	Article

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