Data Compression Scheme of Fronthaul Network Based on LTE

Authors

  • Chenwei Feng School of Opto-electronic and Communication Engineering, Xiamen University of Technology; Fujian Key Laboratory of Optoelectronic Technology and Devices, Xiamen University of Technology; Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology

DOI:

https://doi.org/10.3991/ijoe.v14i10.9312

Keywords:

Long term evolution, Fronthaul network, Data compression, Discrete sine transform, Lloyd-Max quantization, Huffman coding

Abstract


As the long term evolution (LTE) mobile users and transmission data increase, the load of the fronthaul network increases. In order to control the consumption of optical fiber resources, and prevent congestion under the premise of increasing data transmission, it is necessary to compress the data of the fronthaul network. In this paper, a data compression scheme of LTE-based fronthaul network is proposed. According to the characteristics of LTE baseband signals, discrete sine transform (DST) is applied to the time domain signals, and the transformed coefficients are partitioned according to the energy concentration characteristics. Bit allocation is performed in different blocks, and the coefficients of each block are quantized by Lloyd-Max quantizer. Finally, Huffman coding is carried out to improve the compression ratio under the condition that the error is allowed. The simulation results show that the proposed data compression scheme has good performance in both compression ratio (CR) and error vector magnitude (EVM).

Author Biography

Chenwei Feng, School of Opto-electronic and Communication Engineering, Xiamen University of Technology; Fujian Key Laboratory of Optoelectronic Technology and Devices, Xiamen University of Technology; Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology

Feng Chenwei received the B.S. degree in communication engineering from Fuzhou University, Fuzhou, China, in 2004 and the M.S. degree and the Ph.D. degree in communication and information system from Xiamen University, Xiamen, China, in 2007 and 2017, respectively. He is an Associate Professor of Communication Engineering with Xiamen University of Technology, Xiamen, China. His research interests include wireless communication, wireless network and data compression.

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Published

2018-10-26

How to Cite

Feng, C. (2018). Data Compression Scheme of Fronthaul Network Based on LTE. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 153–167. https://doi.org/10.3991/ijoe.v14i10.9312

Issue

Vol. 14 No. 10 (2018)

Section

Papers

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