Paper Info
Title
A Novel Two-Stage Compression Scheme Combining Polar Coding And Linear Prediction Coding For Fronthaul Links In Cloud-Ran
Abstract
The transmission on fronthaul links in the cloud radio access network has become a bottleneck with the increasing data rate. In this paper, we propose a novel two-stage compression scheme for fronthaul links. In the first stage, the commonly used techniques like cyclic prefix stripping and sampling rate adaptation are implemented. In the second stage, a structure called linear prediction coding with decision threshold (LPC-DT) is proposed to remove the redundancies of signal. Considering that the linear prediction outputs have large dynamic range, a two-piecewise quantization with optimized decision threshold is applied to enhance the quantization performance. In order to further lower the transmission rate, a multi-level successive structure of lossless polar source coding is proposed to compress the quantization output with low encoding and decoding complexity. Simulation results demonstrate that the proposed scheme with LPC-DT and LPSC offers not only significantly better compression ratios but also more flexibility in bandwidth settings compared with traditional ones.
Year
DOI
Venue
2017
10.1587/transcom.2016EBP3248
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
Cloud-RAN, data compression, fronthaul, linear prediction coding, polar coding
Compression (physics),Computer science,Fronthaul,Coding (social sciences),Theoretical computer science,Polar,Linear prediction coding,Data compression,Ran,Computer engineering,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
E100B
5
0916-8516
Citations 
PageRank 
References 
0
0.34
10
Authors
5
Name
Order
Citations
PageRank
Fangliao Yang110.70
Kai Niu256186.80
Chao Dong32415.66
Baoyu Tian4204.94
Zhihui Liu500.34