Results 51 to 60 of about 802,961 (243)

F-IRAN: Performance Analysis of 6G Fog Intelligent Radio Access Network

open access: yesIEEE Open Journal of the Communications Society
The next generation of wireless systems–Sixth Generation (6G) and beyond–is expected to support ultra-massive connectivity through a dense composition of small- and micro-scale networks with high traffic loads.
Eman A. Anowr   +5 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

open access: yesAdvanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

Phase and Time Synchronization for 5G C-RAN: Requirements, Design Challenges and Recent Advances in Standardization [PDF]

open access: yesEAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2018
Cloud-RAN is one of the key enablers for 5G. In this paper we present the importance of network synchronization for the fronthaul architectures. The term network synchronization refers to the distribution of time and frequency among spatially distributed
Daniel Venmani   +3 more
doaj   +1 more source

Technical Feasibility Study of Autonomous Field Robot‐Based on‐the‐go Assessment of Soil Nutrients Using Ion‐Sensitive Field‐Effect Transistors

open access: yesAdvanced Robotics Research, EarlyView.
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel   +3 more
wiley   +1 more source

Heterogeneous Cloud Radio Access Networks:Principle,Architecture,Techniques and Challenges

open access: yesDianxin kexue, 2015
To mitigate the severe inter-tier interference and enhance limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in heterogeneous networks(HetNet),and solve the emerging problems including the
Mugen Peng, Yuan Ai
doaj   +2 more sources

Zone-Based Cooperative Content Caching and Delivery for Radio Access Network With Mobile Edge Computing

open access: yesIEEE Access, 2019
Mobile edge computing (MEC) is a promising solution to meet the latency requirement for delay-sensitive services in a 5G radio access network (RAN). Its key idea is to deploy computing and storage capacities at the edge of the RAN to quickly provision ...
Ning Wang   +3 more
doaj   +1 more source

On the benefit of inter‐operator cooperation in C‐RAN

open access: yesIET Communications, 2021
Cooperation of co‐located mobile network operators can provide potential benefits for the capacity expansion without further densification of radio nodes.
Donggu Kim   +3 more
doaj   +1 more source

Saint Cloud Reporter [Spring 1967] [PDF]

open access: yes, 1967
Saint Cloud Reporter, Spring 1967https://repository.stcloudstate.edu/magazines/1116/thumbnail ...
St. Cloud State University
core  

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

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