DocumentCode :
153965
Title :
TV Band Radio Environment Mapping in Beijing
Author :
Yajian Huang ; Xiao Yan ; Kai Chen ; Hao Zhou ; Yifan Zhang ; Zhiyong Feng
Author_Institution :
Key Lab. of Universal Wireless Commun. Minist. of Educ. Wireless Technol. Innovation Inst. (WTI), Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2014
fDate :
6-8 Oct. 2014
Firstpage :
1675
Lastpage :
1680
Abstract :
Radio Environment Map (REM) is very useful as it provides insight of the spatial characteristics of radio environment. To achieve higher accuracy, a novel REM methodology is proposed in this paper. Noticing the inability of systematic sampling to tackle inaccessible areas, a sampling scheme named simulated annealing assisted electrons repulsion is formulated. In this algorithm, the sampling points and boundary of inaccessible areas are treated as electrons such that the repulsive force between them can ensure the uniform distribution of the sampling points and keep them out of the inaccessible areas at the same time. In addition, simulated annealing is adopted to prevent the sampling location from converging to local optimal. Then, two interpolation methods, namely inverse distance weighting and ordinary kriging, are introduced to estimate the REM using the sampled values. To validate our methodology, a measurement is conducted in Beijing in the TV band. The result shows that our methodology has lower mean absolute error and root mean square error and the superior performance of our methodology is also proved.
Keywords :
mean square error methods; simulated annealing; television; Beijing; REM methodology; TV band radio environment mapping; mean absolute error; root mean square error; simulated annealing assisted electrons repulsion; Accuracy; Force; Interpolation; Silicon; Simulated annealing; TV; Wireless communication; Electrons Repulsion; Inverse Distance Weighting; Ordinary Kriging; Radio Environment Map; Simulated Annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference (MILCOM), 2014 IEEE
Conference_Location :
Baltimore, MD
Type :
conf
DOI :
10.1109/MILCOM.2014.275
Filename :
6956996
Link To Document :
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