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Resource Allocation and Slicing Puncture in Cellular Networks with eMBB and URLLC Terminals Co-Existence
Zhao, Yunzhi1; Chi, Xuefen2; Qian, Lei3; Zhu, Yuhong2; Hou, Fen1
Source PublicationIEEE Internet of Things Journal

Ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) are two types of services with delay quality of service (QoS) demands. Considering the random and sporadic URLLC packets arrival feature, slicing puncture is believed to be the suitable method to support co-existence communication scenario of eMBB and URLLC terminals. However, slicing puncture in a short time is not trivial, and needs accurate wireless resource scheduling. At the same time, it may damage the QoS of eMBB service. All of these make the QoS guaranteed scheduling problem more challenging. In this paper, we investigate the bandwidth, power allocations, slice puncturing problems to find the way satisfying services’ individual QoS demands. For scheduling of eMBB service, we formulate a joint optimization problem for bandwidth and power allocations with long-term constraints of queues backlog. To solve this problem, we utilize the Lyapunov drift-plus-penalty method to establish the relationship between the long-term constraints and the short-term optimization problem, which means that the long-term constraints are gradually satisfied by the proposed strategy at each step. We further divide the short-term optimization problem into two subproblems, and adopt Block Coordinate Descent (BCD) algorithm to reduce the computation complexity. Then, we put forward a one-to-one matching method to solve the integer programming in resource block allocation and slicing puncture problems. Numerical results demonstrate that the proposed dynamic resource allocation and puncturing strategy (DRAPS) can solve the scheduling problem of eMBB and URLLC services in the presence of multiple randomnesses of channel state information (CSI) and URLLC packets arrival.

KeywordBandwidth Block Coordinate Descent. Delays Lyapunov Optimization Optimization Quality Of Service Resource Allocation Resource Management Schedules Slicing Puncture Ultra Reliable Low Latency Communication Urllc And Embb
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000857705300024
Scopus ID2-s2.0-85127044572
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Affiliation1.State Key Laboratory of Internet of Things for Smart City, The Department of Electrical and Computer Engineering, University of Macau, Macao, China.
2.Department of Communications Engineering, Jilin University, Changchun 130012, China.
3.Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electrical and Electronic Engineering, Tiangong University, Tianjin 300160, China.
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao, Yunzhi,Chi, Xuefen,Qian, Lei,et al. Resource Allocation and Slicing Puncture in Cellular Networks with eMBB and URLLC Terminals Co-Existence[J]. IEEE Internet of Things Journal,2022,9(19):18431-18444.
APA Zhao, Yunzhi,Chi, Xuefen,Qian, Lei,Zhu, Yuhong,&Hou, Fen.(2022).Resource Allocation and Slicing Puncture in Cellular Networks with eMBB and URLLC Terminals Co-Existence.IEEE Internet of Things Journal,9(19),18431-18444.
MLA Zhao, Yunzhi,et al."Resource Allocation and Slicing Puncture in Cellular Networks with eMBB and URLLC Terminals Co-Existence".IEEE Internet of Things Journal 9.19(2022):18431-18444.
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