10.1109/LCOMM.2018.2791407
https://zenodo.org/records/1162062
oai:zenodo.org:1162062
Ramalho, Leonardo
Leonardo
Ramalho
Computer and Telecommunications Engineering Department, Federal University of Para, Belem 66615-170, Brazil.
Freire, Igor
Igor
Freire
Computer and Telecommunications Engineering Department, Federal University of Para, Belem 66615-170, Brazil.
Lu, Chenguang
Chenguang
Lu
Ericsson Research, Kista 164 80, Sweden.
Berg, Miguel
Miguel
Berg
Ericsson Research, Kista 164 80, Sweden.
Klautau, Aldebaro
Aldebaro
Klautau
Computer and Telecommunications Engineering Department, Federal University of Para, Belem 66615-170, Brazil.
Improved LPC-Based Fronthaul Compression with High Rate Adaptation Resolution
Zenodo
2018
Quantization (signal), Distortion, OFDM, Power capacitors, Training, Decoding, Dictionaries
2018-01-09
eng
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
This paper presents a fronthaul signal compression scheme based on linear prediction coding (LPC) adapted to orthogonal frequency division multiplexing (OFDM) signals. The proposed method is capable of providing fine tuning of the compression factor, which is an alternative to legacy compression methods that tune the compression factor by changing the discrete number of bits of the quantizer and, consequently, are only able to do so with coarse resolution.
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European Commission
10.13039/501100000780
671598
5G-Crosshaul: The 5G Integrated fronthaul/backhaul