Results 71 to 80 of about 8,930 (257)

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling   +3 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan   +7 more
wiley   +1 more source

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang   +3 more
wiley   +1 more source

Digital Twin‐Based Optimization of Service Availability in LEO Mega Constellations Considering Handover Delays in Open RAN

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT As non‐terrestrial networks (NTNs) become integral to future 6G systems, ensuring seamless connectivity and service continuity over low Earth orbit (LEO) satellite constellations is essential. This work investigates the impact of open radio access network (RAN) functional splits on handover performance in NTNs, focusing on minimizing service ...
Siva Satya Sri Ganesh Seeram   +3 more
wiley   +1 more source

Two-Relay Decode-and-Forward for the Degraded Broadcast Channel: Achievable Rate Region With Orthogonal Channel Components

open access: yesIEEE Open Journal of the Communications Society
Relay-aided transmission is a promising approach to extend coverage and increase throughput in wireless networks, yet characterizing the achievable rate region of broadcast channels with multiple decode-and-forward relays over orthogonal links remains an
Mohammad Al Bataineh   +2 more
doaj   +1 more source

Nonconcave Utility Maximisation in the MIMO Broadcast Channel

open access: yesEURASIP Journal on Advances in Signal Processing, 2008
The problem of determining an optimal parameter setup at the physical layer in a multiuser, multiantenna downlink is considered. An aggregate utility, which is assumed to depend on the users' rates, is used as performance metric.
Wolfgang Utschick, Johannes Brehmer
doaj   +1 more source

Three‐Year Propagation Experiment at Ku‐, Ka‐, and Q‐Band in French West Indies

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT From January 2021 to December 2023, the Office National d'Etudes et de Recherches Aérospatiales (ONERA) and the Centre National d'Etudes Spatiales (CNES) conducted a three‐year Earth‐space propagation measurement campaign in Guadeloupe. The experiment used beacon receivers deployed in Pointe‐à‐Pitre airport to record signals at 11.2, 19.7, and
Jean‐Pascal Monvoisin   +3 more
wiley   +1 more source

Sum Capacity for Single-Cell Multi-User Systems with M-Ary Inputs

open access: yesEntropy, 2017
This paper investigates the sum capacity of a single-cell multi-user system under the constraint that the transmitted signal is adopted from M-ary two-dimensional constellation with equal probability for both uplink, i.e., multiple access channel (MAC ...
Pei Yang   +3 more
doaj   +1 more source

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth   +4 more
wiley   +1 more source

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