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