NDLI: Dynamic estimation of local mean power in GSM-R networks

Content Provider	Springer Nature Link
Author	Ma, Yongsen Mao, Xiaofeng Du, Pengyuan Long, Chengnian Li, Bo Hu, Yueming
Copyright Year	2013
Abstract	The dynamic estimation algorithm for Rician fading channels in GSM-R networks is proposed, which is an expansion of local mean power estimation of Rayleigh fading channels. The proper length of statistical interval and required number of averaging samples are determined which are adaptive to different propagation environments. It takes advantage of signal samples and Rician fading parameters of last estimation to reduce measurement overhead. The performance of this method was evaluated by measurement experiments along Beijing–Shanghai high-speed railway. When it is NLOS propagation, the required sampling intervals can be increased from $$1.1{\lambda}$$ in Lee’s method to $$3.7{\lambda}$$ of the dynamic algorithm. The sampling intervals can be set up to $$12{\lambda}$$ although the length of statistical intervals decrease when there is LOS signal, which can reduce the measurement overhead significantly. The algorithm can be applied in coverage assessment with lower measurement overhead, and in dynamic and adaptive allocation of wireless resource.
Starting Page	289
Ending Page	302
Page Count	14
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	20
Issue Number	2
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2013-06-04
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	GSM-R Rician fading channel Local power estimation Propagation measurement Communications Engineering, Networks Computer Communication Networks Electrical Engineering Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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