TY - GEN
T1 - Low-Latency Method and Architecture for 5G Packet-Based Fronthaul Networks
AU - Liu, Yang
AU - He, Zunwen
AU - Zhang, Yan
AU - Zhang, Wancheng
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - The design of fronthaul link has become a challenging task in the 5th Generation Mobile Network (5G). In this paper, in order to reduce 5G fronthaul delay and jitter, a multi-thread scheduling receiving method based on interrupt and polling mode is introduced. Considering diverse application scenarios in 5G, we present a new scalable and flexible 5G fronthaul architecture to manage high data traffic flows efficiently. In the end, a hardware system is built to verify the method and fronthaul architecture. Experiments show that delay and reliability can meet the requirements of 5G fronthaul design. Besides, the designed architecture can be used in other distributed high-speed transmission systems to increase their flexibility and efficiency.
AB - The design of fronthaul link has become a challenging task in the 5th Generation Mobile Network (5G). In this paper, in order to reduce 5G fronthaul delay and jitter, a multi-thread scheduling receiving method based on interrupt and polling mode is introduced. Considering diverse application scenarios in 5G, we present a new scalable and flexible 5G fronthaul architecture to manage high data traffic flows efficiently. In the end, a hardware system is built to verify the method and fronthaul architecture. Experiments show that delay and reliability can meet the requirements of 5G fronthaul design. Besides, the designed architecture can be used in other distributed high-speed transmission systems to increase their flexibility and efficiency.
KW - 5G
KW - Delay requirement
KW - Fronthaul architecture
KW - Multi-thread scheduling method
UR - http://www.scopus.com/inward/record.url?scp=85101308421&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-67514-1_22
DO - 10.1007/978-3-030-67514-1_22
M3 - Conference contribution
AN - SCOPUS:85101308421
SN - 9783030675134
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 270
EP - 281
BT - IoT as a Service - 6th EAI International Conference, IoTaaS 2020, Proceedings
A2 - Li, Bo
A2 - Li, Changle
A2 - Yang, Mao
A2 - Yan, Zhongjiang
A2 - Zheng, Jie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th EAI International Conference on IoT as a Service, IoTaaS 2020
Y2 - 19 November 2020 through 20 November 2020
ER -