Paper Info
Title
An Equalisation Control Method For Network Big Data Transmission Based On Parallel Computing
Abstract
In order to solve the problem of high output bit error rate and poor balance of data transmission of network big data, an equalisation control method for network big data transmission based on parallel computing is proposed in this paper. In the method, firstly, the information flow in the network channel model is reconstructed through the coherent correlation detection method, and then the channel impulse response of network is calculated. Secondly, according to the channel impulse response, big data output channels are improved and scheduled through the link sequential allocation method. Finally, frequency multiplication processing is performed to the big data output channels through the frequency domain expansion method, and adaptive equalisation allocation is performed according to the parallel computing conditions for channel output to achieve channel equalisation. A simulation experiment shows that the method proposed in this paper can provide relatively good channel equalisation in network bit data transmission and relatively strong adaptive allocation ability of output parallel computing, which reduces communication bit error rate of network.
Year
DOI
Venue
2020
10.1504/IJIPT.2020.105051
INTERNATIONAL JOURNAL OF INTERNET PROTOCOL TECHNOLOGY
Keywords
DocType
Volume
network, big data, parallel computing, channel, adaptive allocation, bit error rate
Journal
13
Issue
ISSN
Citations 
1
1743-8209
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jiazhong Lu142.81
Xiao-song Zhang230545.10
Xiaolei Liu3118.70
Teng Hu400.34
Yu Cao500.68