Reliability enhancement in multi-numerology-based 5G new radio using INI-aware scheduling

dc.authorid0000-0001-9348-9092
dc.authorid0000-0001-9474-7372
dc.contributor.authorYazar, Ahmet
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:49:34Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T19:49:34Z
dc.date.issued2019
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.descriptionWOS: 000466912700003
dc.description.abstractMulti-numerology waveform-based 5G new radio (NR) systems offer great flexibility for different requirements of users and services. However, there is a new type of problem that is defined as inter-numerology interference (INI) between multiple numerologies. This paper proposes novel scheduling and resource allocation techniques to enhance the overall reliability and also provide extra protection for ultra-reliable and low-latency communications (uRLLC) users and cell edge users against INI. Proposed methods are useful for Internet of Things (IoT) communications, and they do not cause additional spectral usage, computational complexity, and latency. Practical INI-aware schemes in this paper include fractional numerology domain (FND) scheduling, power difference-based (PDB) scheduling, and machine learning-based (MLB) scheduling algorithms. INI and signal-to-interference ratio (SIR) results for multi-numerology systems are obtained through computer simulations to show trade-offs between different scenarios and success of the proposed algorithms.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [215E316]en_US
dc.description.sponsorshipThis paper was supported in part by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant No. 215E316.en_US
dc.identifier.citationYazar, A. ve Arslan, H. (2019). Reliability enhancement in multi-numerology-based 5G new radio using INI-aware scheduling. Eurasip Journal on Wireless Communications and Networking. https://dx.doi.org/10.1186/s13638-019-1435-z
dc.identifier.doi10.1186/s13638-019-1435-z
dc.identifier.issn1687-1472
dc.identifier.issn1687-1499
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://dx.doi.org/10.1186/s13638-019-1435-z
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1653
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringeropen
dc.relation.ecinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/215E316
dc.relation.ispartofEurasip Journal on Wireless Communications and Networkingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject5G
dc.subjectAdaptive Scheduling
dc.subjectMachine Learning
dc.subjectMulti-Numerology
dc.subjectNew Radio
dc.subjectOFDM
dc.subjectReliability
dc.subjectResource Allocation
dc.subjectWaveform
dc.titleReliability enhancement in multi-numerology-based 5G new radio using INI-aware scheduling
dc.typeArticle

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