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Title: Conflict-Aware Multi-Numerology Radio Resource Allocation for Heterogeneous Services
Authors: Ferdosian, Nasim
Skaperas, Sotiris
Chorti, Arsenia
Mamatas, Lefteris
Type: Conference Paper
Subjects: FRASCATI::Engineering and technology
FRASCATI::Natural sciences::Computer and information sciences
Keywords: Flexible numerology
URLLC traffic
5G mobile communication
bin packing
nonorthogonal multiple access
quality of service
resource allocation
telecommunication network reliability
telecommunication scheduling
Issue Date: 2021
First Page: 1
Last Page: 6
Volume Title: 2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Abstract: 5G new radio (NR) introduced flexible numerology to accommodate applications with varying quality of service (QoS) requirements. However, optimizing the scheduling of services with varying delay and throughput QoS constraints remains a challenging task. Under existing proposals, supporting ultra-reliable low-latency communication (URLLC) services comes at the cost of reduced throughput offered to enhanced mobile broadband (eMBB) users. In this paper, we propose an efficient, low complexity scheduling of radio resources for URLLC when coexisting with eMBB services. We re-formulate the standard eMBB throughput maximization problem as an equivalent conflict minimization with URLLC and prove that this equivalent objective can be treated as a Bin Packing optimization problem. Moreover, in order to further increase the efficiency of resource utilization, non-orthogonal multiple access (NOMA) is also investigated for URLLC and eMBB coexistence. The superior performance of NOMA, with the superposition of services over the same resource blocks, is due to alleviating conflicts, as shown by an extensive set of numerical results.
ISBN: 978-1-7281-9441-7
Other Identifiers: 10.1109/ICCWorkshops50388.2021.9473664
Appears in Collections:Department of Applied Informatics

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