Title: Research on equalisation scheduling algorithm for network channel under the impact of big data

Authors: Zheng Yu; Dangdang Dai; Zhiyong Zha; Yixi Wang; Hao Feng

Addresses: Information and Communication Branch of Hubei Electric Power Co. Ltd of State Grid Corporation of China, Xudong Street, Wuchang district, Wuhan, Hubei 430077, China ' Information and Communication Branch of Hubei Electric Power Co. Ltd of State Grid Corporation of China, Xudong Street, Wuchang district, Wuhan, Hubei 430077, China ' Information and Communication Branch of Hubei Electric Power Co. Ltd of State Grid Corporation of China, Xudong Street, Wuchang district, Wuhan, Hubei 430077, China ' Information and Communication Branch of Hubei Electric Power Co. Ltd of State Grid Corporation of China, Xudong Street, Wuchang district, Wuhan, Hubei 430077, China ' Information and Communication Branch of Hubei Electric Power Co. Ltd of State Grid Corporation of China, Xudong Street, Wuchang district, Wuhan, Hubei 430077, China

Abstract: In order to improve the equalisation scheduling ability of network channel, an equalisation scheduling algorithm for big data network communication based on the baud-spaced equilibration and decision feedback modulation technology is proposed in this paper. With this algorithm, a model for network communication channel under the impact of big data is constructed to analyze the multipath characteristics of network channel; coherent multipath channel modulation method is used to conduct wave filtering to intersymbol interference and adaptive baud-spaced equilibration technology is also used to design channel equalisation; the model for tap delay line of channel is used for multipath suppression of network channel and the decision feedback modulation technology is also used for network channel equalisation scheduling to overcome the impact of phase shift caused by big data impact on channel and improve channel equalisation. Simulation results show that when the proposed algorithm is used for network channel equalisation scheduling, the fidelity of symbols output through network communication is good and the bit error rate is low and the performance of network channel equalisation scheduling under the impact of big data and multipath is good, which improves the robustness of network channel.

Keywords: big data; multipath effect; network channel; equalisation scheduling; baud space; modulation.

DOI: 10.1504/IJICT.2019.101868

International Journal of Information and Communication Technology, 2019 Vol.14 No.4, pp.485 - 498

Received: 23 Nov 2017
Accepted: 06 Jan 2018

Published online: 23 Aug 2019 *

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