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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

  1. 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…

  2. 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…

  3. 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…

  4. 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…

  5. 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…

  6. 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…

  7. 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…

  8. Joint network resource allocation in 5G/6G wireless sensor networks via metaheuristic optimization and multi-criteria algorithm selection 2026

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  9. Cost-optimal day-ahead scheduling of multi-energy systems with micro-mobility 2026

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  10. 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…

  11. 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…

  12. 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