Data Compression Scheme of Fronthaul Network Based on LTE

Chenwei Feng

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).

Keywords


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

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International Journal of Online Engineering (iJOE).ISSN: 1861-2121
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