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Investigation of broadband digital predistortion for broadband radio over fiber transmission systems
- Source :
- Optics Communications. 381:346-351
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In future broadband cloud radio access networks (C-RAN), front-haul transmission systems play a significant role in performance and cost of C-RAN. Broadband and high linearity radio over fiber (RoF) transmission systems are considered a promising solution for the front-haul. Digital linearization is one possible solution for RoF front-haul. In this paper, we investigate RF domain digital predistortion (DPD) linearization for broadband RoF front-haul. The implemented DPD is first investigated in 2.4 GHz WiFi over fiber transmission systems at 36 Mb/s, and more than 8-dB and 5.6-dB improvements of error vector magnitude (EVM) are achieved in back to back (BTB) and after 10 km single mode fiber (SMF) transmission. Further, both WiFi and ultra wide band (UWB) wireless signals are transmitted together, in which the DPD has linearization bandwidth of 2.4 GHz. It is shown that the implemented DPD leads to EVM improvements of 4.5-dB (BTB) and 3.1-dB (10 km SMF) for the WiFi signal, and 4.6-dB (BTB) and 4-dB (10 km SMF) for the broadband UWB signal.
- Subjects :
- business.industry
Computer science
Bandwidth (signal processing)
Single-mode optical fiber
Ultra-wideband
020206 networking & telecommunications
02 engineering and technology
Transmission system
Atomic and Molecular Physics, and Optics
Predistortion
Electronic, Optical and Magnetic Materials
020210 optoelectronics & photonics
Optics
Radio over fiber
Transmission (telecommunications)
Broadband
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Wireless
Electrical and Electronic Engineering
Physical and Theoretical Chemistry
business
Telecommunications
Error vector magnitude
Subjects
Details
- ISSN :
- 00304018
- Volume :
- 381
- Database :
- OpenAIRE
- Journal :
- Optics Communications
- Accession number :
- edsair.doi...........a70911866239337812af76bb6b51f541