Zobrazeno 1 - 10
of 366
pro vyhledávání: '"Soleymani, Mohammad"'
The challenges in dense ultra-reliable low-latency communication networks to deliver the required service to multiple devices are addressed by three main technologies: multiple antennas at the base station (MISO), rate splitting multiple access (RSMA
Externí odkaz:
http://arxiv.org/abs/2411.04581
Autor:
Soleymani, Mohammad, Zappone, Alessio, Jorswieck, Eduard, Di Renzo, Marco, Santamaria, Ignacio
We analyze the finite-block-length rate region of wireless systems aided by reconfigurable intelligent surfaces (RISs), employing treating interference as noise. We consider three nearly passive RIS architectures, including locally passive (LP) diago
Externí odkaz:
http://arxiv.org/abs/2410.20827
Autor:
Soleymani, Mohammad, Santamaria, Ignacio, Jorswieck, Eduard, Di Renzo, Marco, Gutiérrez, Jesús
In this paper, we develop energy-efficient schemes for multi-user multiple-input single-output (MISO) broadcast channels (BCs), assisted by reconfigurable intelligent surfaces (RISs). To this end, we consider three architectures of RIS: locally passi
Externí odkaz:
http://arxiv.org/abs/2408.04271
This paper addresses the problem of maximizing the capacity of a multiple-input multiple-output (MIMO) link assisted by a beyond-diagonal reconfigurable intelligent surface (BD-RIS). We maximize the capacity by alternately optimizing the transmit cov
Externí odkaz:
http://arxiv.org/abs/2406.02170
With the success of 2D and 3D visual generative models, there is growing interest in generating 4D content. Existing methods primarily rely on text prompts to produce 4D content, but they often fall short of accurately defining complex or rare motion
Externí odkaz:
http://arxiv.org/abs/2405.14017
Autor:
Lu, Liupei, Yin, Yufeng, Gu, Yuming, Wu, Yizhen, Prasad, Pratusha, Zhao, Yajie, Soleymani, Mohammad
Facial action unit (AU) detection is a fundamental block for objective facial expression analysis. Supervised learning approaches require a large amount of manual labeling which is costly. The limited labeled data are also not diverse in terms of gen
Externí odkaz:
http://arxiv.org/abs/2403.10737
Human-human communication is like a delicate dance where listeners and speakers concurrently interact to maintain conversational dynamics. Hence, an effective model for generating listener nonverbal behaviors requires understanding the dyadic context
Externí odkaz:
http://arxiv.org/abs/2403.09069
Modern wireless communication systems are expected to provide improved latency and reliability. To meet these expectations, a short packet length is needed, which makes the first-order Shannon rate an inaccurate performance metric for such communicat
Externí odkaz:
http://arxiv.org/abs/2402.16434
Publikováno v:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023, pp. 4848-4855
Recent works have demonstrated the effectiveness of machine learning (ML) techniques in detecting anxiety and stress using physiological signals, but it is unclear whether ML models are learning physiological features specific to stress. To address t
Externí odkaz:
http://arxiv.org/abs/2402.15513
An emerging technology to enhance the spectral efficiency (SE) and energy efficiency (EE) of wireless communication systems is reconfigurable intelligent surface (RIS), which is shown to be very powerful in single-carrier systems. However, in multi-u
Externí odkaz:
http://arxiv.org/abs/2401.11921