3 papers
cs.CV2023
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
Xiangyu Xiong, Yue Sun, Xiaohong Liu +10
Despite the potential benefits of data augmentation for mitigating the data insufficiency, traditional augmentation methods primarily rely on the prior intra-domain knowledge. On t…
cs.IT2023
MIMO Asynchronous MAC with Faster-than-Nyquist (FTN) Signaling
Zichao Zhang, Melda Yuksel, Halim Yanikomeroglu +2
Faster-than-Nyquist (FTN) signaling is a nonorthogonal transmission technique, which brings in intentional inter-symbol interference. This way it can significantly enhance spectral…
cs.IT2023
Bit-Interleaved Multiple Access: Improved Fairness, Reliability, and Latency for Massive IoT Networks
Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu +2
In this paper, we propose bit-interleaved multiple access (BIMA) to enable Internet-of-Things (IoT) networks where a massive connection is required with limited resource blocks. Fi…