Results 31 to 40 of about 923 (137)
DRL‐Based Joint Clustering and Trajectory Optimization for UAV‐Assisted Emergency Networks
6G is expected to see unprecedented data traffic surges. UAV‐assisted MEC aids emergency communications but faces challenges from dynamic user mobility and heterogeneous tasks. To address these, the proposed KM‐PPO integrates interference‐aware k‐means clustering (for user aggregation and initial UAV deployment) and PPO (for stable policy updates and ...
Ruirui Xu +4 more
wiley +1 more source
Transformer‐Based Fusion for Joint Routing and Resource Allocation in the Internet of Things
In this work, we investigate decentralized joint routing and resource allocation for high‐quality path establishment at the network layer of the Internet of Things (IoT). We propose a novel optimization framework based on Transformer‐based Deep Reinforcement Learning (DRL), which enables the fusion of observations and actions along communication paths.
Zibo Zhou +5 more
wiley +1 more source
This study presents a Strength Pareto Evolutionary Algorithm 2 (SPEA2)‐based multi‐objective framework for optimised deployment of drone base stations (DBSs) in Internet of Things (IoT) networks. The model simultaneously enhances user coverage and reduces path loss under realistic urban propagation conditions. Results confirm the framework's ability to
Ahmed Qabel Fahem +2 more
wiley +1 more source
Energy‐Efficient Element Selection in RIS‐Assisted Backscatter Communication Systems
This paper investigates energy‐efficient reconfigurable intelligent surface (RIS) assisted ambient backscatter communication systems with energy‐harvesting tags. A low‐complexity RIS element selection strategy is developed to satisfy both energy‐harvesting and signal‐to‐interference‐plus‐noise ratio constraints while minimizing overall power ...
Mengistu A. Mulatu +2 more
wiley +1 more source
This paper proposes Geo‐FedKD, a geometry‐aware framework for dual‐connectivity UAV trajectory optimisation. Exploiting the observation that dual‐connectivity requirements naturally favour elliptical UAV trajectories with foci at the base station and the user centroid, Geo‐FedKD guides policy exploration towards feasible regions instead of relying ...
Alireza Karimi, Ghasem Mirjalily
wiley +1 more source
Efficient Gradient Updating Strategies with Adaptive Power Allocation for Federated Learning over Wireless Backhaul. [PDF]
Yang Y, Hong Y, Park J.
europepmc +1 more source
Resource Estimation on Wireless Backhaul Networks [PDF]
Irfan Sheriff +2 more
openaire +1 more source
Next-Generation Wireless Backhaul Design for Rural Areas
Rural areas often face significant challenges in accessing reliable broadband Internet due to high infrastructure costs and low population density. To address this issue, we propose a model for evaluating the performance and the cost of a mesh-based, last- and middle-mile replacement for broadband connection in these underserved regions.
Gabriele Gemmi +2 more
openaire +1 more source
Software Defined Wireless Backhaul
Para hacer frente al crecimiento explosivo del tráfico de datos móbiles se ha propuesto la idea de Small Cells, celdas de telefonía muy pequeñas de gran capacidad. Para implementarlas, se ha propuesto una red de retorno o backhaul, compuesta de hasta 20 nodos entrelazas por Wi-Fi mesh.
openaire +1 more source
Highly Efficient Multi Channel Packet Forwarding with Round Robin Intermittent Periodic Transmit for Multihop Wireless Backhaul Networks. [PDF]
Maruta K, Furukawa H.
europepmc +1 more source

