TY - JOUR
T1 - Joint Dynamic Spectrum Allocation for URLLC and eMBB in 6G Networks
AU - Chen, Ning
AU - Cheng, Zhipeng
AU - Zhao, Yifeng
AU - Huang, Lianfen
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2024
Y1 - 2024
N2 - 6G is a further evolution and development of 5G to meet the need of various emerging applications of multifarious user equipment (UE). Ultra-reliable and low-latency communications (URLLC) and enhanced mobile broadband (eMBB) are two typical application scenarios in 5G, which will also be the primary service types of 6G. Therefore, how to jointly schedule the URLLC and eMBB UEs in the 6G network, especially in the spectrum allocation process, to increase the system throughput while the reliability and delay requirement of URLLC UEs are guaranteed, is worth studying. In this paper, we construct a double-cycle dynamic spectrum allocation model joint URLLC and eMBB, where URLLC and eMBB UEs adopt different scheduling cycles. Road side units (RSUs) are clustered based on the Many-to-Many Matching (MTM-M) algorithm to establish the channel conditions. Then, we carry out the dynamic spectrum resource allocation based on the Advanced K-Granularity Coloring (AKGC) algorithm. Extensive simulation results demonstrate the effectiveness of the dynamic spectrum resource strategy proposed in this work for the enhancement of throughput and the reduction of latency, which significantly improves the quality of experience (QoE).
AB - 6G is a further evolution and development of 5G to meet the need of various emerging applications of multifarious user equipment (UE). Ultra-reliable and low-latency communications (URLLC) and enhanced mobile broadband (eMBB) are two typical application scenarios in 5G, which will also be the primary service types of 6G. Therefore, how to jointly schedule the URLLC and eMBB UEs in the 6G network, especially in the spectrum allocation process, to increase the system throughput while the reliability and delay requirement of URLLC UEs are guaranteed, is worth studying. In this paper, we construct a double-cycle dynamic spectrum allocation model joint URLLC and eMBB, where URLLC and eMBB UEs adopt different scheduling cycles. Road side units (RSUs) are clustered based on the Many-to-Many Matching (MTM-M) algorithm to establish the channel conditions. Then, we carry out the dynamic spectrum resource allocation based on the Advanced K-Granularity Coloring (AKGC) algorithm. Extensive simulation results demonstrate the effectiveness of the dynamic spectrum resource strategy proposed in this work for the enhancement of throughput and the reduction of latency, which significantly improves the quality of experience (QoE).
KW - 6G
KW - URLLC and eMBB
KW - clustering
KW - graph coloring
KW - spectrum resource allocation
UR - http://www.scopus.com/inward/record.url?scp=85159684259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85159684259&partnerID=8YFLogxK
U2 - 10.1109/TNSE.2023.3272013
DO - 10.1109/TNSE.2023.3272013
M3 - Article
AN - SCOPUS:85159684259
VL - 11
SP - 5681
EP - 5694
JO - IEEE Transactions on Network Science and Engineering
JF - IEEE Transactions on Network Science and Engineering
IS - 6
ER -