Results 71 to 80 of about 1,708 (204)
Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks [PDF]
This paper has been submitted to ICC ...
Marzieh Najafi +5 more
openaire +2 more sources
We introduce a fully distributed framework that leverages belief‐desire‐intention extended (BDIx) agents on user devices to perform dynamic clustering and access‐point selection in a cell‐free 6G network, using both classical and deep‐learning methods for deterministic, scalable AP grouping.
Iakovos Ioannou +5 more
wiley +1 more source
Downlink Power Control for Cell‐Free Massive MIMO System With Radio Stripes
This paper investigates downlink power control in cell‐free massive multiple‐input multiple‐output systems utilizing radio stripes, a cost‐effective fronthaul topology. An AP switching technique is proposed to enhance spectral efficiency, followed by the formulation of a weighted sum‐rate maximization problem considering QoS, transmit power, and user ...
Yisong Fu +3 more
wiley +1 more source
In emergency situations where ground base stations are disabled, UAVs, due to their low cost and high adaptability, restore communication coverage in remote areas. The main challenge is optimally determining the three‐dimensional positions of the UAVs to meet dynamic user demand and reduce interference.
Nooshin Boroumand Jazi +2 more
wiley +1 more source
Traffic-Aware Cost-Optimized Fronthaul Planning for Ultra-Dense Networks
The cost and limited capacity of fronthaul links pose significant challenges for the deployment of ultra-dense networks (UDNs), specifically for cell-free massive MIMO systems.
Ammar, Hussein A. +4 more
core +1 more source
The Optical Fiber and mmWave Wireless Convergence for 5G Fronthaul Networks [PDF]
The most radical evolution in recent mobile communication technology is imminent in the coming years. The fronthaul network architecture is part of this evolution and is expected to support dense deployment of infrastructure to provide increased bandwidth and ultra-low latency for 5th generation (5G) networks in a cost-effective manner.
Thiago R. Raddo +3 more
openaire +3 more sources
IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms
In this article, the challenges related to the evolution of 5G and B5G/6G networks are examined more closely. The authors then primarily focus on machine learning solutions for resource allocation in 5G and B5G/6G networks. The requirements for dynamic network slicing orchestration are also analysed.
Ado Adamou Abba Ari +5 more
wiley +1 more source
Social-Aware Edge Caching in Fog Radio Access Networks
Fog radio access networks (F-RANs) are becoming an emerging and promising paradigm for fifth generation cellular communication systems. In F-RANs, distributed edge caching techniques among remote radio heads (RRHs) and user equipment (UE) can effectively
Xiang Wang, Supeng Leng, Kun Yang
doaj +1 more source
Online Caching With Wireless Fronthauling and Delivery in Fog-Aided Networks [PDF]
4 pages, 2 figures, IEEE Communications ...
openaire +2 more sources
Joint Weighted Dynamic Resources Optimisation in Green Open Radio Access Network
The paper presents an optimisation framework for the off‐grid green open radio access network architecture using renewable energy, aiming to optimise power and bandwidth allocation, ensure high data rates and improve service quality, considering factors like power consumption and maintenance cost. ABSTRACT The rapid growth of interconnected devices and
Raad S. Alhumaima +3 more
wiley +1 more source

