A Vector Quantization Based Compression Algorithm for CPRI Link

被引：0
|
作者：
Si, Hongbo [1 ]
Ng, Boon Loong [1 ]
Rahman, Md. Saifur [1 ]
Zhang, Jianzhong [1 ]
机构：
[1] Samsung Res Amer, Dallas, TX 75227 USA
来源：
2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2015年
关键词：
D O I：
10.1109/GLOCOM.2015.7417796
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The future wireless networks, such as Centralized Radio Access Network (C-RAN), will need to deliver data rate about 100 times to 1000 times the current 4G technology. For C-RAN based network architecture, there is a pressing need for tremendous enhancement of the effective data rate of the Common Public Radio Interface (CPRI). Compression of CPRI data is one of the potential enhancements. We introduce a vector quantization based compression algorithm for CPRI links, utilizing Lloyd algorithm. Methods to vectorize the I/Q samples and enhanced initialization of Lloyd algorithm for codebook training are investigated for improved performance. Multi-stage vector quantization is considered to reduce codebook search complexity. Simulation results show that our solution can achieve compression of 4 times for uplink and 4.5 times for downlink, within 2% Error Vector Magnitude (EVM) distortion. Remarkably, vector quantization codebook proves to be quite robust against data modulation mismatch, fading, signal-to-noise (SNR) and Doppler spread.
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页数：6
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