Implementation of an O-RAN-Compliant Base Station System Using Commercial Off-the-Shelf Components

다국어 초록 (Multilingual Abstract)

Open Radio Access Network (O-RAN) standard has been proposed to separate the baseband signal processing unit from the Radio Frequency (RF) unit at base station system mainly for reducing the cost of base station systems through open-source interfaces between the two units. To satisfy the performance metrics in various scenarios, several fronthaul functional split options were presented by O-RAN. Amongst these options, the split option 7-2x is widely adopted in practical applications due to its excellent trade-off between the required bandwidth and RU overhead. In this paper, we present a hardware implementation of a base station system that is compliant with the Category B of O-RAN split option 7-2x. It consists of O-DU and O-RU implemented with a commercial off-the-shelf Digital Signal Processor and RF transceiver, respectively. The performance of the proposed base station system is evaluated in terms of Bit Error Rate and received signal power as well as the required fronthaul bandwidth. Through various experimental tests, we have observed that the proposed system reduces the fronthaul bandwidth nearly by 89.7% compared to the conventional system that dose not employ the O-RAN standard.

참고문헌 (Reference)

1 나용 ; 안흥섭 ; 최승원, "멀티코어 DSP를 이용한 다중 안테나를 지원하는 SDR 기반 LTE-A PDSCH 디코더 구현" (사)디지털산업정보학회 15 (15): 85-92, 2019

2 Ettus Knowledge Base contributors, "X300/X310"

3 O-RAN Fronthaul Control, "User and Synchronization Plane 2.0"

4 S. K. Singh, "The Evolution of Radio Access Network Towards Open-RAN: Challenges and Opportunities" 1-6, 2020

5 Texas Instruments, "TMS320C6670 Multicore Fixed and Floating-point System-On-Chip Data Manual, SPRS689D"

6 C. N. Tadros, "Software Defined Network-Based Management for Enhanced 5G Network Services" 8 : 53997-54008, 2020

7 C. -L. I, J. Huang, "Recent Progress on C-RAN Centralization and Cloudification" 2 : 1030-1039, 2014

8 Braun, M, "RFNoC: RF Network-on-Chip" 1 (1): 2016

9 Kreinar, E, "RFNoC Neural Network Library using Vivado HLS" 2 (2): 7-, 2017

10 NTT DOCOMO, "R3-162102: CU-DU Spsit:Refinement for Annex A"

11 Mustafa Mohsin, "On Analyzing Beamforming Implementation in O-RAN 5G" MDPI AG 10 (10): 2162-, 2021

12 MATLAB, "LTE Toolbox User’s Guide, R2019"

13 Texas Instruments, "KeyStone Architecture Bit Rate Coprocessor (BCP) User's Guide, SPRUGZIA"

14 Ettus Knowledge Base contributors, "Getting Started with RFNoC in UHD 4.0"

15 Ettus Knowledge Base contributors, "Getting Started with RFNoC Development"

16 장중봉 ; 안흥섭 ; 최승원, "Design and Implementation of Software Defined Radio Based IEEE 802.11ac Encoder Using Multicore DSP" (사)디지털산업정보학회 15 (15): 93-101, 2019

17 A. Checko, "Cloud RAN for Mobile Networks -A Technology Overview" 17 (17): 405-426, 2015