Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1407
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 minimisation 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. |
URI: | https://doi.org/10.1109/ICCWorkshops50388.2021.9473664 https://ruomo.lib.uom.gr/handle/7000/1407 |
ISBN: | 978-1-7281-9441-7 |
Other Identifiers: | 10.1109/ICCWorkshops50388.2021.9473664 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Conflict-Aware_Multi-Numerology_Radio_Resource_Allocation_for_Heterogeneous_Services (1).pdf | 2,28 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.