6 papers
Pilot-Assisted Faster-than-Nyquist Signaling for HRLLC: A Non-Asymptotic Approach
Ahmet Oguz Kislal, Melda Yuksel, Ali Gorcin +1
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…
Constrained Capacity Analysis for Faster-than-Nyquist Signaling
Zichao Zhang, Melda Yuksel, Gokhan M. Guvensen +1
This paper studies the constrained-capacity for precoded faster-than-Nyquist (FTN) signaling with finite-alphabet inputs. Despite the promise of accelerated transmission, the funda…
Pushing the Limits: Unlocking the Potential of Faster-than-Nyquist Signaling
Zichao Zhang, Melda Yuksel, Shuangyang Li +2
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…
Faster-than-Nyquist Signaling for Next-Generation Wireless: Principles, Applications, and Challenges
Shuangyang Li, Melda Yuksel, Tongyang Xu +4
Future wireless networks are expected to deliver ultra-high throughput for supporting emerging applications. In such scenarios, conventional Nyquist signaling may falter. As a reme…
Capacity and IAPR Analysis for MIMO Faster-than-Nyquist Signaling with High Acceleration Rate
Zichao Zhang, Melda Yuksel, Gokhan M. Guvensen +1
Faster-than-Nyquist (FTN) signaling is a non-orthogonal transmission technique offering a promising solution for future generations of communications. This paper studies the capaci…
Deep Reinforcement Learning Enhanced Rate-Splitting Multiple Access for Interference Mitigation
Osman Nuri Irkicatal, Elif Tugce Ceran, Melda Yuksel
This study explores the application of the rate-splitting multiple access (RSMA) technique, vital for interference mitigation in modern communication systems. It investigates the u…