Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Mönich, Ullrich"'
Autor:
Andrei, Vlad C., Drăguţoiu, Alexandru P., Béna, Gabriel, Akl, Mahmoud, Li, Yin, Lohrmann, Matthias, Mönich, Ullrich J., Boche, Holger
This paper explores the potential of conversion-based neuromorphic algorithms for highly accurate and energy-efficient single-snapshot multidimensional harmonic retrieval (MHR). By casting the MHR problem as a sparse recovery problem, we devise the c
Externí odkaz:
http://arxiv.org/abs/2412.04008
This paper derives an achievable rate-distortion (R-D) region for the state-dependent discrete memoryless multiple access channel (SD-DMMAC), where the generalized feedback and causal side information are present at encoders, and the decoder performs
Externí odkaz:
http://arxiv.org/abs/2409.17950
Autor:
Djuhera, Aladin, Andrei, Vlad C., Li, Xinyang, Mönich, Ullrich J., Boche, Holger, Saad, Walid
Split federated learning (SFL) is a compute-efficient paradigm in distributed machine learning (ML), where components of large ML models are outsourced to remote servers. A significant challenge in SFL, particularly when deployed over wireless channe
Externí odkaz:
http://arxiv.org/abs/2407.11654
Autor:
Andrei, Vlad C., Djuhera, Aladin, Li, Xinyang, Mönich, Ullrich J., Boche, Holger, Saad, Walid
Native jamming mitigation is essential for addressing security and resilience in future 6G wireless networks. In this paper a resilient-by-design framework for effective anti-jamming in MIMO-OFDM wireless communications is introduced. A novel approac
Externí odkaz:
http://arxiv.org/abs/2404.10598
This manuscript investigates the information-theoretic limits of integrated sensing and communications (ISAC), aiming for simultaneous reliable communication and precise channel state estimation. We model such a system with a state-dependent discrete
Externí odkaz:
http://arxiv.org/abs/2402.17058
In this paper, a digital twinning framework for indoor integrated sensing, communications, and robotics is proposed, designed, and implemented. Besides leveraging powerful robotics and ray-tracing technologies, the framework also enables integration
Externí odkaz:
http://arxiv.org/abs/2402.15191
In this paper, we investigate the fundamental limits of MIMO-OFDM integrated sensing and communications (ISAC) systems based on a Bayesian Cram\'er-Rao bound (BCRB) analysis. We derive the BCRB for joint channel parameter estimation and data symbol d
Externí odkaz:
http://arxiv.org/abs/2308.12106
We address the resilience of future 6G MIMO communications by considering an uplink scenario where multiple legitimate transmitters try to communicate with a base station in the presence of an adversarial jammer. The jammer possesses full knowledge a
Externí odkaz:
http://arxiv.org/abs/2302.07009
Wireless channel sensing is one of the key enablers for integrated sensing and communication (ISAC) which helps communication networks understand the surrounding environment. In this work, we consider MIMO-OFDM systems and aim to design optimal and r
Externí odkaz:
http://arxiv.org/abs/2301.10689
We consider the task of converting different digital descriptions of analog bandlimited signals and systems into each other, with a rigorous application of mathematical computability theory. Albeit very fundamental, the problem appears in the scope o
Externí odkaz:
http://arxiv.org/abs/2210.04313