Results 11 to 20 of about 380 (134)

Traffic Aware Beamformer Design for Flexible TDD-Based Integrated Access and Backhaul [PDF]

open access: yesIEEE Access, 2020
Integrated access and backhaul (IAB) network consists of base station (BS), relay nodes (RNs), and user-equipments (UEs), where BS and RNs exchange UE data via wireless in-band backhaul while sharing the same frequency-time resources with access links ...
Praneeth Jayasinghe   +3 more
doaj   +3 more sources

Load Balancing for Integrated Access and Backhaul in mmWave Small Cells

open access: yesIEEE Access, 2023
In this paper, we propose a load-balancing algorithm for small-cell integrated access and backhaul (IAB) networks operating in the millimeter wave (mmWave) band.
Quang-Huy Tran   +2 more
doaj   +2 more sources

Assessing Latency of Packet Delivery in the 5G 3GPP Integrated Access and Backhaul Architecture with Half-Duplex Constraints

open access: yesFuture Internet, 2022
Integrated Access and Backhaul (IAB) is an enabling technology for efficient 5G millimeter wave (mmWave) New Radio (NR) deployment. The key feature of IAB is multi-hop wireless backhauling, allowing utilizing relaying IAB-nodes to provide cost-efficient ...
Nikita Polyakov, Anna Platonova
doaj   +2 more sources

Analysis of Duplexing Patterns in Multi-Hop mmWave Integrated Access and Backhaul Systems

open access: yesIEEE Open Journal of the Communications Society
Integrated Access and Backhaul (IAB) technology promises to facilitate cost-effective deployments of 5G New Radio (NR) systems operating in both sub-6 GHz and millimeter-wave (mmWave) bands.
Nikita Tafintsev   +7 more
doaj   +2 more sources

Joint scheduling and resource allocation based on reinforcement learning in integrated access and backhaul networks

open access: yesICT Express
In recent wireless networks, the integrated access and backhaul (IAB) network provides a cost-effective solution to enhance network performance and has emerged as a key technology not only for beyond 5G but also for 6G.
Joeun Kim   +4 more
doaj   +2 more sources

Unmanned Aerial Vehicles (UAVs) for Integrated Access and Backhaul (IAB) Communications in Wireless Cellular Networks [PDF]

open access: yes, 2021
An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of next-generation cellular networks. However, mutual interference between access and backhaul links, small inter-site distance and spatial dynamics of ...
Fouda, Abdurrahman
openaire   +3 more sources

Toward Open Integrated Access and Backhaul with O-RAN [PDF]

open access: yes, 2023
Millimeter wave (mmWave) communications has been recently standardized for use in the fifth generation (5G) of cellular networks, fulfilling the promise of multi-gigabit mobile throughput of current and future mobile radio network generations.
Maccari, Leonardo   +5 more
core   +4 more sources

Backhaul in 5G systems for developing countries: A literature review

open access: yesIET Communications, Volume 17, Issue 6, Page 659-669, April 2023., 2023
This paper has highlighted the obstacles and challenges that providers and operators who plan to invest, deploy, or develop 5G technology in developing countries may face. Abstract The fifth‐generation (5G) technology is seen to be a solution for developing countries to improve their quality of services in terms of transportation, education, health ...
Inas Sawad   +2 more
wiley   +1 more source

Paving the Way Toward Mobile IAB: Problems, Solutions and Challenges

open access: yesIEEE Open Journal of the Communications Society, 2022
Deploying access and backhaul as wireless links, a.k.a. integrated access and backhaul (IAB), is envisioned as a viable approach to enable flexible and dense networks. Even further, mobile IAB (mIAB) is a candidate solution to enhance the connectivity of
Victor F. Monteiro   +6 more
doaj   +1 more source

Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks

open access: yesIET Communications, Volume 16, Issue 20, Page 2454-2466, December 2022., 2022
Abstract In this paper, a deep learning integrated reinforcement learning (DLIRL) algorithm is proposed for comprehending intelligent beamsteering in Beyond Fifth Generation (B5G) networks. The smart base station in B5G networks aims to steer the beam towards appropriate user equipment based on the acquaintance of isotropic transmissions.
Geoffrey Eappen   +5 more
wiley   +1 more source

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