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Experimental Investigation of New Fronthaul Concepts for 5G dataset

Hinrichs, Malte and Fernández del Rosal, Luz and Kottke, Christoph and Jungnickel, Volker and Freund, R (2017) Experimental Investigation of New Fronthaul Concepts for 5G dataset. [Data Collection]

Description

The evolution to a centralized radio access network (C-RAN), where multiple base band units (BBU) are co-located to jointly serve multiple remote radio heads (RRH), results in a more efficient use of radio resources [1]. Nevertheless, it also imposes more stringent requirements on the transport network connecting the BBU pool to the RRHs, also known as fronthaul. Especially the increasing demand for higher data rates in the fronthaul challenges current solutions based on protocols like the widespread common public radio interface (CPRI).

In this paper, we investigate two promising approaches to reduce the optical bandwidth utilization in the mobile fronthaul of next-generation cloud radio access networks. We experimentally analyze and compare the performance of an analog radio-over-fiber fronthaul and a new digital fronthaul. The analog system consists of four ?/4-shift DQPSK modulated sub-channels with a data rate of 2.5 Gbit/s each and originates from a custom millimeter-wave system. The digital fronthaul approach utilizes On-Off-Keying (OOK) and is based on 10 Gigabit Ethernet.

Additional information: This dataset was moved to KDR. The original location of this item was https://kar.kent.ac.uk/62302.
Uncontrolled keywords: centralized radio access network, multiple base band units,multiple remote radio heads
Subjects: T Technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunications
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunications > TK5105 Data transmission systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Helen Cooper
Collection period:
From
To
March 2017
March 2017
Last Modified: 08 Jun 2023 15:12
Publication Date: 17 July 2017
URI: https://data.kent.ac.uk/id/eprint/188

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