OpenAlex konusu
Advanced Wireless Network Optimization
Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.
OpenAlex 998 eser 37 yazar konusu
Çalışmalar
998 eser
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Periodic OFDMA: A Low-PAPR Multiple Access Scheme for Uplink Communications in 5G and Beyond
2026
Multiple access techniques are vital for 5G and beyond. While Orthogonal Frequency Division Multiple Access (OFDMA) is standard, its high peak-to-average power ratio (PAPR) reduces energy efficiency in uplink transmissions. This paper presents Periodic OFDMA (P-OFDMA), a novel multiple access scheme with reduced PAPR…
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Periodic OFDMA: A Low-PAPR Multiple Access Scheme for Uplink Communications in 5G and Beyond
2026
Multiple access techniques are vital for 5G and beyond. While Orthogonal Frequency Division Multiple Access (OFDMA) is standard, its high peak-to-average power ratio (PAPR) reduces energy efficiency in uplink transmissions. This paper presents Periodic OFDMA (P-OFDMA), a novel multiple access scheme with reduced PAPR…
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Performance Analysis of RIS-Assisted Wireless Networks with Q-Learning-Based Phase Shift Optimization
2026
Reconfigurable Intelligent Surfaces (RIS) is a promising technology for improving wireless communication reliability. This paper investigates a RIS-assisted downlink massive Multiple-Input Multiple-Output (MIMO) communication system that suffers severe blockage and interference between cells. We presume that the fadin…
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Absorbing Markov Chain-Based Analysis of Age of Information in Discrete-Time Dual-Queue Systems
2026
Status update systems require the timely collection of sensing information for which deploying multiple sensors/servers to obtain diversity gains is considered as a promising solution. In this work, we construct an absorbing Markov chain (AMC) to exactly model Age of Information (AoI) in a discrete-time dual-queue (DT…
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Preemption Revisited: Multi-Threshold Preemption Policies for AoI Minimization
2026
The study of optimal preemption policies for status update systems has been a recurring topic in the age of information (AoI) literature, where threshold-based structures have been shown to be optimal under a generate-at-will update generation model under certain assumptions. In this work, we study the effectiveness o…
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Preemption Revisited: Multi-Threshold Preemption Policies for AoI Minimization
2026
The study of optimal preemption policies for status update systems has been a recurring topic in the age of information (AoI) literature, where threshold-based structures have been shown to be optimal under a generate-at-will update generation model under certain assumptions. In this work, we study the effectiveness o…
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Hotspot Capacity-Driven Scheduling Strategies for Reducing Airborne Delays in TMAs
2026
This paper investigates the reduction of airborne delays in Terminal Maneuvering Areas (TMAs) through departure time adjustments based on hotspot levels at origin airports. While existing studies primarily focus on reducing airborne delays to support environmentally sustainable airport operations, this research propos…
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Joint network resource allocation in 5G/6G wireless sensor networks via metaheuristic optimization and multi-criteria algorithm selection
2026
Özet henüz yok.
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Cost-optimal day-ahead scheduling of multi-energy systems with micro-mobility
2026
Özet henüz yok.
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DMOA-Driven Channel Estimation for OFDM: Robust Performance Across Modulation Orders, Pilot Densities and 3GPP Fading Models
2026
This work proposes an innovative channel estimation technique for OFDM systems using the Dwarf Mongoose Optimization Algorithm (DMOA) without requiring any channel statistics. In this technique, the DMOA algorithm is used to search for the optimal parameters of the effective SNR, RMS delay spread, and Doppler frequenc…
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Capacity and IAPR Analysis for MIMO Faster-Than-Nyquist Signaling With High Acceleration Rate
2026
Faster-than-Nyquist (FTN) signaling is a non-orthogonal transmission technique offering a promising solution for future generations of communications. This paper studies the capacity of FTN signaling in multiple-input multiple-output (MIMO) channels for high acceleration factors. In our previous study [1], we found th…
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Capacity and IAPR Analysis for MIMO Faster-than-Nyquist Signaling with Small Acceleration Factors
2026
Faster-than-Nyquist (FTN) signaling is a non-orthogonal transmission technique offering a promising solution for future generations of communications. This paper studies the capacity of FTN signaling in multiple-input multiple-output (MIMO) channels for high acceleration factors. In our previous study [1], we found th…
Akademisyenler
37 akademisyen
- BERNA ÖZBEK 54 yazar konusu
- ÖZGÜR ERÇETİN 47 yazar konusu
- ÖZGÜR GÜRBÜZ ÜNLÜYURT 35 yazar konusu
- FATİH ALAGÖZ 29 yazar konusu
- MEHMET EMİN AYDIN 26 yazar konusu
- ENVER EVER 19 yazar konusu
- MEHMET FATİH TÜYSÜZ 17 yazar konusu
- CENK TOKER 16 yazar konusu
- MUSTAFA ERGEN 16 yazar konusu
- ONUR KAYA 15 yazar konusu
- EGEMEN LERZAN ÖRMECİ ALİOĞLU 13 yazar konusu
- MEHMET İLHAN YILDIRGAN 13 yazar konusu