TY - GEN
T1 - Incorporating URLLC and Multicast eMBB in Sliced Cloud Radio Access Network
AU - Tang, Jianhua
AU - Shim, Byonghyo
AU - Chang, Tsung Hui
AU - Quek, Tony Q.S.
N1 - Funding Information:
The full version of this paper can be found in [1]. This work was supported in part by the Korea Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (Grant No. 2016H1D3A1938245), the NRF grant funded by the Korean government (MSIP) (2014R1A5A1011478), the framework of international cooperation program managed by NRF (2016K1A3A1A20006019), the NSFC, China, under Grant 61571385 and 61731018, and by the Shen-zhen Fundamental Research Fund under Grant ZDSYS201707251409055 and KQTD201503311441545, and the SUTD-ZJU Research Collaboration under Grant SUTD-ZJU/RES/01/2016 and SUTD-ZJU/RES/05/2016.
PY - 2019/5
Y1 - 2019/5
N2 - The fifth generation (5G) wireless systems aims to differentiate its services based on different application scenarios. Instead of constructing different physical networks to support each application, radio access network (RAN) slicing is deemed as a prospective solution to help operate multiple logical separated wireless networks in a single physical network. In this paper, we incorporate two typical 5G services, i.e., enhanced Mobile BroadBand (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC), in a cloud RAN (C-RAN), which is suitable for RAN slicing due to its high flexibility. In particular, for eMBB, we make use of multicasting to improve the throughput, and for URLLC, we leverage finite blocklength capacity to capture the delay accurately. Our objective is to minimize the total power consumption, subject to the limited physical resource constraints. We formulate the problem as a nonconvex optimization problem and exploit efficient approaches to solve it, such as successive convex approximation and semidefinite relaxation. Simulation results show that our proposed algorithm saves system power consumption significantly.
AB - The fifth generation (5G) wireless systems aims to differentiate its services based on different application scenarios. Instead of constructing different physical networks to support each application, radio access network (RAN) slicing is deemed as a prospective solution to help operate multiple logical separated wireless networks in a single physical network. In this paper, we incorporate two typical 5G services, i.e., enhanced Mobile BroadBand (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC), in a cloud RAN (C-RAN), which is suitable for RAN slicing due to its high flexibility. In particular, for eMBB, we make use of multicasting to improve the throughput, and for URLLC, we leverage finite blocklength capacity to capture the delay accurately. Our objective is to minimize the total power consumption, subject to the limited physical resource constraints. We formulate the problem as a nonconvex optimization problem and exploit efficient approaches to solve it, such as successive convex approximation and semidefinite relaxation. Simulation results show that our proposed algorithm saves system power consumption significantly.
UR - http://www.scopus.com/inward/record.url?scp=85063259404&partnerID=8YFLogxK
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U2 - 10.1109/ICC.2019.8761648
DO - 10.1109/ICC.2019.8761648
M3 - Conference contribution
AN - SCOPUS:85063259404
T3 - IEEE International Conference on Communications
BT - 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Communications, ICC 2019
Y2 - 20 May 2019 through 24 May 2019
ER -