Results 61 to 70 of about 6,582 (187)

Sequential In-Network Processing for Cell-Free Massive MIMO With Capacity-Constrained Parallel Radio Stripes

open access: yesIEEE Access
To ensure coherent signal processing across distributed Access Points (APs) in Cell-Free Massive Multiple-Input Multiple-Output (CF-mMIMO) systems, a fronthaul connection between the APs and a Central Processor (CP) is imperative. We consider a fronthaul
Sangwon Jo, Hoon Lee, Seok-Hwan Park
doaj   +1 more source

UAVs‐Assisted Low‐Bit Quantized CF‐mMIMO Systems With MmWave Communications Under MRC Detection

open access: yesIET Communications, Volume 19, Issue 1, January/December 2025.
ABSTRACT The cell‐free massive multiple input multiple output (CF‐mMIMO) approach, due to its high coverage and the ability to attenuate the large‐scale fading impacts in wireless communications, has drawn a lot of attention. Additionally, because of their movement ability, low power, and low‐cost employed infrastructures, unmanned aerial vehicles ...
Sogol Moshirvaziri, Jamshid Abouei
wiley   +1 more source

Access Point Selection and Localization for Cluster‐Based Realization of a Device‐to‐Device Cell‐Free 6G Communications Network

open access: yesIET Communications, Volume 19, Issue 1, January/December 2025.
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

5G New Radio Fronthaul Network Design for eCPRI-IEEE 802.1CM and Extreme Latency Percentiles

open access: yesIEEE Access, 2019
Packet-switched fronthaul networks are often designed following the rule that the worst-case network delay must be below a given target end-to-end network latency budget.
Gabriel Otero Perez   +2 more
doaj   +1 more source

Fronthaul-Constrained Cell-Free Massive MIMO With Low Resolution ADCs

open access: yesIEEE Access, 2020
In cell-free massive MIMO networks, a large number of distributed access points (APs) provide service to a much smaller number of mobile stations (MSs) over the same time/frequency resources.
Guillem Femenias, Felip Riera-Palou
doaj   +1 more source

Downlink Power Control for Cell‐Free Massive MIMO System With Radio Stripes

open access: yesElectronics Letters, Volume 61, Issue 1, January/December 2025.
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

Fronthaul Load Balancing in Energy Harvesting Powered Cloud Radio Access Networks

open access: yesIEEE Access, 2017
Enhanced with wireless power transfer capability, cloud radio access network (C-RAN) enables energy-restrained mobile devices to function uninterruptedly.
Cheng Qin   +3 more
doaj   +1 more source

Flexible Mobile Fronthaul with Coherent UDWDM-PON

open access: yes2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
Ultra Dense Wavelength Division Multiplexing (UDWDM) has been proposed for future Passive Optical Networks (PONs) to support the increase of access traffic, furnishing an improved capacity while introducing point-to-point logical connections with the Wavelength-To-The-User (WTTU) concept, enabled by low cost coherent transceivers with high sensitivity.
Segarra Mullerat, Josep   +2 more
openaire   +2 more sources

An improved affinity propagation method for maximising system sum rate and minimising interference for 3D multi‐UAV placement in disaster area

open access: yesIET Networks, Volume 14, Issue 1, January/December 2025.
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

IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms

open access: yesIET Networks, Volume 14, Issue 1, January/December 2025.
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

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