Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Llorca, Jaime."'
Parametric channel estimation in mmWave not only enables the anticipated large spectral efficiency gains of \acs{MIMO} systems but also reveals important propagation parameters, allowing for a low complexity representation of the channel matrix. In t
Externí odkaz:
http://arxiv.org/abs/2409.01166
NextG (5G and beyond) networks, through the increasing integration of cloud/edge computing technologies, are becoming highly distributed compute platforms ideally suited to host emerging resource-intensive and latency-sensitive applications (e.g., in
Externí odkaz:
http://arxiv.org/abs/2407.08710
Distributed computing (cloud) networks, e.g., mobile edge computing (MEC), are playing an increasingly important role in the efficient hosting, running, and delivery of real-time stream-processing applications such as industrial automation, immersive
Externí odkaz:
http://arxiv.org/abs/2205.15557
The timely delivery of resource-intensive and latency-sensitive services (e.g., industrial automation, augmented reality) over distributed computing networks (e.g., mobile edge computing) is drawing increasing attention. Motivated by the insufficienc
Externí odkaz:
http://arxiv.org/abs/2205.15556
Next-generation distributed computing networks (e.g., edge and fog computing) enable the efficient delivery of delay-sensitive, compute-intensive applications by facilitating access to computation resources in close proximity to end users. Many of th
Externí odkaz:
http://arxiv.org/abs/2205.14735
We are entering a rapidly unfolding future driven by the delivery of real-time computation services, such as industrial automation and augmented reality, collectively referred to as AgI services, over highly distributed cloud/edge computing networks.
Externí odkaz:
http://arxiv.org/abs/2205.02427
Emerging Metaverse applications, designed to deliver highly interactive and immersive experiences that seamlessly blend physical reality and digital virtuality, are accelerating the need for distributed compute platforms with unprecedented storage, c
Externí odkaz:
http://arxiv.org/abs/2205.01944
Emerging distributed cloud architectures, e.g., fog and mobile edge computing, are playing an increasingly important role in the efficient delivery of real-time stream-processing applications (also referred to as augmented information services), such
Externí odkaz:
http://arxiv.org/abs/2204.09030
The worlds of computing, communication, and storage have for a long time been treated separately, and even the recent trends of cloud computing, distributed computing, and mobile edge computing have not fundamentally changed the role of networks, sti
Externí odkaz:
http://arxiv.org/abs/2204.02001
Publikováno v:
IEEE Conference on Computer Communications (INFOCOM), pp. 1-9, 2017
Distributed cloud networking builds on network functions virtualization (NFV) and software defined networking (SDN) to enable the deployment of network services in the form of elastic virtual network functions (VNFs) instantiated over general purpose
Externí odkaz:
http://arxiv.org/abs/2105.10061