DocumentCode :
694585
Title :
Potential transmission capability of wireless communication network
Author :
Xiao Yingzhe ; Xiao Baojin ; Xin Wang
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
1325
Lastpage :
1329
Abstract :
It has long been accepted that Shannon capacity is the channel transmission capability limit, but this is a misunderstanding. This paper considers the actual communication system bandwidth is limited, and the band limited Gauss noise (BLGN) has correlation, which leads to the actual entropy of BLGN is smaller than its maximum entropy, so the actual channel capacity is always greater than the Shannon capacity, although the noise is AWGN. We derived the formula of BLGN correlation coefficient between adjacent timeslots, calculated the numerical solution β ≈ 0.167. The testing results indicate that man-made noise in the wireless channel has become a major noise, and its power is much greater than the natural noise power. In addition the man-made noise has a strong correlation. This makes the wireless channel capacity is clearly greater than the Shannon capacity. Therefore the current wireless channel has a large potential transmission capability.
Keywords :
AWGN channels; channel capacity; correlation methods; maximum entropy methods; numerical analysis; wireless channels; AWGN; BLGN correlation coefficient; Shannon channel capacity; band limited Gauss noise; channel transmission capability; large potential transmission capability; man-made noise; maximum entropy method; numerical solution; wireless channel capacity; wireless communication network; Channel capacity; Correlation; Correlation coefficient; Entropy; Noise; Wireless communication; band limited Gaussian noise; channel capacity; correlation of noise; information rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967345
Filename :
6967345
Link To Document :
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