Open AccessResearch on fronthaul scheme based on DRoF
Author(s) -
Chenwei Feng,
Yu Sun,
Youmei Su,
Fuchun Jiang,
Tong Lin,
Huazhi Ji
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2216/1/012055
Subject(s) - computer science , huffman coding , vector quantization , baseband , algorithm , cluster analysis , quantization (signal processing) , data compression , data transmission , real time computing , electronic engineering , bandwidth (computing) , computer network , engineering , artificial intelligence
With the rapid increase of global data traffic, storage and transmission of massive data is a challenging problem. Therefore, data compression is necessary. Based on DRoF, mobile fronthual has the advantages of high data rate, good connectivity and system capacity, and becomes the key part of communication system transmission. In this paper, an optimized vector quantization data compression algorithm based on DRoF system is proposed, which mainly studies OFDM baseband modulation signals. Firstly, the modulation signal is transformed by DCT. Then the optimized fast-global K-means clustering algorithm is used for quantization to overcome the problem that the original algorithm may choose noise points as the cluster center. Finally, Huffman coding is used to reduce the code length of the quantized data. Simulation results show that the proposed algorithm has good CR and EVM performance within the error tolerance range. It has a high degree of compression and signal recovery.