Konu "Scheduling" için Mühendislik ve Doğa Bilimleri Fakültesi listeleme
Toplam kayıt 7, listelenen: 1-7
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The impact of adaptive guards for 5G and beyond
(Institute of Electrical and Electronics Engineers Inc., 2017)The next generation communication systems are evolving towards an increased flexibility in different aspects. Enhanced flexibility is the key in order to address diverse requirements. This paper presents the significance ... -
Integrated supply chain scheduling models: A literature review
(2019)Research on integration of supply chain and scheduling is relatively recent, and number of studies on this topic is increasing. This study provides a comprehensive literature survey about Integrated Supply Chain Scheduling ... -
Inter-numerology interference management with adaptive guards: A cross-layer approach
(IEEE - Institute of Electrical and Electronics Engineers, Inc., 2020)The next-generation communication technologies are evolving towards increased flexibility in various aspects. Although orthogonal frequency division multiplexing (OFDM) remains as the waveform of the upcoming fifth-generation ... -
Numerology scheduling for PAPR reduction in mixed numerologies
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2021)The flexible mixed-numerology structure with orthogonal frequency division multiplexing (OFDM) waveform is a key enabler to meet the requirements of various applications in fifth-generation (5G) and beyond wireless networks. ... -
Radar-aided communication scheduling algorithm for 5G and beyond networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Radar and communication coexistence is an upcoming technology with numerous research opportunities in the medium access control (MAC) layer, particularly in scheduling and radio resource management (RRM). More efficient ... -
Thresholds optimization for one-bit feedback multi-user scheduling
(Institute of Electrical and Electronics Engineers Inc., 2018)We propose a new one-bit feedback scheme with scheduling decision based on the maximum expected weighted rate. We show the concavity of the 2-user case and provide the optimal solution which achieves the maximum weighted ... -
A waveform parameter assignment framework for 6G with the role of machine learning
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2020)5G enables a wide variety of wireless communications applications and use cases. There are different requirements associated with the applications, use cases, channel structure, network and user. To meet all of the ...