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OpenAlex konusu

PAPR reduction in OFDM

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 749 eser 33 yazar konusu

Çalışmalar

749 eser

  1. Bit Error Rate and Performance Analysis of Multi-User OTFS Under Nakagami-$m$ Fading for 6G and Beyond Networks 2026

    Orthogonal Time-Frequency Space modulation stands out as a promising waveform for 6G and beyond wireless communication systems, offering superior performance over conventional methods, particularly in high-mobility scenarios and dispersive channel conditions. Error performance analysis remains crucial for accurately c…

  2. A comparative study of classical machine learning and deep learning classifiers for 16-QAM symbol detection in OFDM under varying SNR levels 2026

    Özet henüz yok.

  3. Pilot-Assisted Faster-than-Nyquist Signaling for HRLLC: A Non-Asymptotic Approach 2026

    This paper investigates the performance of faster-than-Nyquist (FTN) signaling within the context of hyper-reliable low-latency communications (HRLLC), specifically focusing on the challenges imposed by the short-packet regime. While traditional Nyquist-based systems maintain symbol orthogonality to prevent inter-symb…

  4. Pilot-Assisted Faster-than-Nyquist Signaling for HRLLC: A Non-Asymptotic Approach 2026

    This paper investigates the performance of faster-than-Nyquist (FTN) signaling within the context of hyper-reliable low-latency communications (HRLLC), specifically focusing on the challenges imposed by the short-packet regime. While traditional Nyquist-based systems maintain symbol orthogonality to prevent inter-symb…

  5. Constrained Capacity Analysis for Faster-than-Nyquist Signaling 2026

    This paper studies the constrained-capacity for precoded faster-than-Nyquist (FTN) signaling with finite-alphabet inputs. Despite the promise of accelerated transmission, the fundamental rate limit of precoded FTN signaling under practical finite-alphabet constraints remains unclear. By introducing cyclic prefix (CP)…

  6. Constrained Capacity Analysis for Faster-than-Nyquist Signaling 2026

    This paper studies the constrained-capacity for precoded faster-than-Nyquist (FTN) signaling with finite-alphabet inputs. Despite the promise of accelerated transmission, the fundamental rate limit of precoded FTN signaling under practical finite-alphabet constraints remains unclear. By introducing cyclic prefix (CP)…

  7. Pushing the Limits: Unlocking the Potential of Faster-than-Nyquist Signaling 2026

    Faster-than-Nyquist (FTN) signaling is gaining attention as a smart way to pack more data into limited spectrum by intentionally breaking the traditional symbol-spacing rules. This article takes a fresh look at FTN's potential to boost capacity, examining how performance varies across different acceleration factors an…

  8. Pushing the Limits: Unlocking the Potential of Faster-than-Nyquist Signaling 2026

    Faster-than-Nyquist (FTN) signaling is gaining attention as a smart way to pack more data into limited spectrum by intentionally breaking the traditional symbol-spacing rules. This article takes a fresh look at FTN's potential to boost capacity, examining how performance varies across different acceleration factors an…

  9. Tight Three-Coefficient Complementary Error Function Approximation with USRP-Based Experimental Validation for Nakagami- m Fading Channels 2026

    Özet henüz yok.

  10. RFNoC-Based FPGA Offloading for Fully Programmable PHY Acceleration 2026

    Hardware acceleration has emerged as a key research topic for supporting computationally intensive signal processing and artificial intelligence applications in 6G research and development studies. This paper presents an RF Network on Chip (RFNoC) based hardware acceleration framework that offloads key physical layer…

  11. RFNoC-Based FPGA Offloading for Fully Programmable PHY Acceleration 2026

    Hardware acceleration has emerged as a key research topic for supporting computationally intensive signal processing and artificial intelligence applications in 6G research and development studies. This paper presents an RF Network on Chip (RFNoC) based hardware acceleration framework that offloads key physical layer…

  12. RIS-Assisted MIMO System Design: A Low Complex MIMO Precoder Selection Method 2026

    By intelligently reconfiguring wireless propagation environment, reconfigurable intelligent surfaces (RISs) can enhance signal quality, suppress interference, and improve channel conditions, thereby serving as a powerful complement to multiple-input multiple-output (MIMO) architectures. However, jointly optimizing the…

Akademisyenler

33 akademisyen