Zobrazeno 1 - 10
of 391
pro vyhledávání: '"Mu Xidong"'
This article targets at unlocking the potentials of a class of prominent generative artificial intelligence (GAI) method, namely diffusion model (DM), for mobile communications. First, a DM-driven communication architecture is proposed, which introdu
Externí odkaz:
http://arxiv.org/abs/2410.06389
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted wireless powered communication network (WPCN) is proposed, where two energy-limited devices first harvest energy from a hybrid access point (HAP) and
Externí odkaz:
http://arxiv.org/abs/2410.01330
Mobile edge generation (MEG) is an emerging technology that allows the network to meet the challenging traffic load expectations posed by the rise of generative artificial intelligence~(GAI). A novel MEG model is proposed for deploying GAI models on
Externí odkaz:
http://arxiv.org/abs/2409.05870
Multiple-antenna technologies are advancing toward the development of extremely large aperture arrays and the utilization of extremely high frequencies, driving the progress of next-generation multiple access (NGMA). This evolution is accompanied by
Externí odkaz:
http://arxiv.org/abs/2408.00952
A novel accelerated mobile edge generation (MEG) framework is proposed for generating high-resolution images on mobile devices. Exploiting a large-scale latent diffusion model (LDM) distributed across edge server (ES) and user equipment (UE), cost-ef
Externí odkaz:
http://arxiv.org/abs/2407.07245
A novel paradigm of mobile edge generation (MEG)-enabled digital twin (DT) is proposed, which enables distributed on-device generation at mobile edge networks for real-time DT applications. First, an MEG-DT architecture is put forward to decentralize
Externí odkaz:
http://arxiv.org/abs/2407.02804
The ultimate goal of next generation multiple access (NGMA) is to support massive terminals and facilitate multiple functionalities over the limited radio resources of wireless networks in the most efficient manner possible. However, the random and u
Externí odkaz:
http://arxiv.org/abs/2406.11082
The performance bounds of near-field sensing are studied for circular arrays, focusing on the impact of bandwidth and array size. The closed-form Cramer-Rao bound (CRBs) for angle and distance estimation are derived, revealing the scaling laws of the
Externí odkaz:
http://arxiv.org/abs/2404.17318
The performance of near-field sensing (NISE) in a legacy wideband multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) communication systems is analyzed. The maximum likelihood estimates (MLE) for the target's dista
Externí odkaz:
http://arxiv.org/abs/2404.05076
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted simultaneous wireless information and power transfer (SWIPT) system is proposed. More particularly, an STAR-RIS is deployed to assist in the informati
Externí odkaz:
http://arxiv.org/abs/2403.15145