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Efficient Gradient Updating Strategies with Adaptive Power Allocation for Federated Learning over Wireless Backhaul [PDF]

Sensors, 2021
In this paper, efficient gradient updating strategies are developed for the federated learning when distributed clients are connected to the server via a wireless backhaul link.
Yunji Yang, Yonggi Hong, Jaehyun Park
doaj   +2 more sources

Integrated access and backhaul a New Type of Wireless Backhaul in 5G [PDF]

Ericsson Technology Review, 2020
In this paper, we study the concept and the potentials of integrated access and backhaul (IAB) as one of the main innovative aspects of 5G networks. We study IAB networks from different perspectives. Particularly, we summarize the recent Rel-16 discussions on IAB, and highlight the main IAB-specific agreements on different protocol layers. Moreover, we
Henrik Ronkainen, Jonas Edstam, Anders Ericsson, Christer Östberg   +3 more
exaly   +3 more sources

An Adjustable Wireless Backhaul Link Selection Algorithm for LEO-UAV-Sensor-Based Internet of Remote Things Network [PDF]

Sensors
Internet of Remote Things (IoRT) networks utilize the backhaul links between unmanned aerial vehicles (UAVs) and low-earth-orbit (LEO) satellites to transfer the massive data collected by sensors.
Rui Chen, Wennai Wang, Wei Wu
doaj   +2 more sources

Engineering-Economic Evaluation of Diffractive NLOS Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment

IEEE Access, 2022
Developing ways to affordably deliver broadband connectivity is one of the major issues of our time. In challenging deployment locations with irregular terrain, traditional Clear-Line-Of-Sight (CLOS) wireless links can be uneconomical to deploy, as the ...
Edward J. Oughton, Erik Boch, Julius Kusuma   +2 more
doaj   +3 more sources

5G wireless backhaul networks: challenges and research advances [PDF]

IEEE Network, 2014
5G networks are expected to achieve gigabit-level throughput in future cellular networks. However, it is a great challenge to treat 5G wireless backhaul traffic in an effective way. In this article, we analyze the wireless backhaul traffic in two typical network architectures adopting small cell and millimeter wave commmunication technologies ...
Xiaohu Ge, Mohsen Guizani
exaly   +4 more sources

Performance analysis of Cognitive Vehicular Networks under Unreliable Backhaul [PDF]

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021
This paper presents a comprehensive model including a wireless backhaul as a cost-effective backhaul alternative to wired backhaul for vehicular networks, a heterogeneous underlay cognitive vehicular network with multiple mobile secondary ...
Cheng Yin, Zeming Su, Ayse Kortun
doaj   +1 more source

RIS-aided Multi-hop Backhauling for 5G/6G UAV-assisted Access Points

Journal of Telecommunications and Information Technology, 2023
Drones are considered to be an important part of future 6G telecommunication systems. Thanks to their quick deployment potential, they provide additional connectivity options in the form of a flying hotspot.
Salim Janji, Pawel Sroka
doaj   +1 more source

Optimizing mmWave Wireless Backhaul Scheduling [PDF]

IEEE Transactions on Mobile Computing, 2020
Millimeter wave (mmWave) communication not only provides ultra-high speed radio access but is also ideally suited for efficient and flexible wireless backhauling. Specifically for dense deployments, a mmWave macro base station (MBS) that serves a large number of mmWave micro base stations (µBSs) is much more cost effective than legacy cellular ...
Arribas, Edgar, Fernandez Anta, Antonio, Kowalski, Dariusz R., Mancuso, Vincenzo, Mosteiro, Miguel A., Widmer, Joerg, Wong, Prudence W. H.   +6 more
openaire   +4 more sources

Federated learning over wireless backhaul for distributed micro‐Doppler radars: Deep learning aided gradient estimation

IET Radar, Sonar & Navigation, 2022
When micro‐Doppler (MD) radars are distributed, a federated learning strategy over wireless backhaul links is developed for motion classification. Specifically to identify the human motion, a common convolutional neural network (CNN) model is shared for ...
Yunji Yang, Yong‐gi Hong, Jaehyun Park
doaj   +1 more source

Integrated Access and Backhaul (IAB) in Cell-Free Massive MIMO Systems

IEEE Access, 2023
One of the major challenges with cell-free (CF) massive multiple-input multiple-output (MIMO) networks is providing backhaul links for a large number of distributed access points (APs).
Ali Hosseinalipour Jazi, S. Mohammad Razavizadeh, Tommy Svensson   +2 more
doaj   +1 more source