Joint Dynamic Spectrum Allocation for URLLC and eMBB in 6G Networks

Ning Chen, Zhipeng Cheng, Yifeng Zhao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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).

Original languageEnglish
Pages (from-to)5681-5694
Number of pages14
JournalIEEE Transactions on Network Science and Engineering
Volume11
Issue number6
DOIs
StatePublished - 2024

Keywords

  • 6G
  • URLLC and eMBB
  • clustering
  • graph coloring
  • spectrum resource allocation

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