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Backhaul (telecommunications)

About: Backhaul (telecommunications) is a research topic. Over the lifetime, 5651 publications have been published within this topic receiving 96881 citations.


Papers
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Proceedings ArticleDOI
04 Dec 2022
TL;DR: In this article , a heterogeneous aerial network (HetAN) consisting of a HBS acting as a hub to provide wireless backhaul and multiple low-altitude BSs acting as access points to provide on-demand wireless coverage is proposed.
Abstract: In this paper, we study the coverage maximization problem in the aerial networks. Specifically, we propose a heterogeneous aerial network (HetAN) consisting of a high-altitude base station (HBS) acting as a hub to provide wireless backhaul and multiple low-altitude BSs (LBSs) acting as access points to provide on-demand wireless coverage. Besides, we adopt the non-orthogonal multiple access (NOMA) technique for the uplink transmissions of the terrestrial users so as to support massive connections. Then, we formulate a joint power control, channel assignment, and rate control problem with the objective to maximize user connectivity and network throughput. Based on the graph methods and theoretical analysis, we propose an efficient iterative algorithm to solve the formulated problem. Simulation results demonstrate that our algorithm outperforms the other schemes in terms of connectivity and throughput.
Proceedings ArticleDOI
01 Oct 2022
TL;DR: In this article , the INGR Satellite WG 2022 edition of the roadmap is presented, taking 6G systems into account: applications and services, reference architectures (both backhaul and direct access), satellite loT, mm-wave use for satellite networks, machine learning and artificial intelligence, edge computing, QoS/QoE, security, network management and standardization.
Abstract: The fifth generation (5G) Wireless Communication systems development has brought out a paradigm shift using advanced technologies e.g., softwarization, virtualization, Massive MIMO, ultra-densification and introduction of new frequency bands. However, as the societal needs grow, and to satisfy UN's Sustainable Development Goals (SDGs), 6G and beyond systems are envisioned. Non- Terrestrial Networks including satellite systems, Unmanned Aerial Vehicles (UAVs) and High-Altitude Platforms (HAPs) provide the best solutions to connect the unconnected, unserved and underserved in remote and rural areas in particular. Over the past few decades, Geo Synchronous Orbits (GSO) satellite systems have been deployed to support broadband services, backhauling, Disaster Recovery and Continuity of Operations (DR-COOP) and emergency services. Recently, there is a considerable renewed interest in planning and developing non-GSO satellite systems. Within the next few years several thousands of Low Earth Orbit (LEO) satellites and mega LEO constellations will be ready to provide global Internet services. This report is the 2022 Edition of the INGR Satellite Working Group Report, subsequent to the previous two editions [1] [2]. The topics considered in this INGR Satellite WG 2022 Edition of the roadmap are the following taking 6G systems into account: applications and services, reference architectures (both backhaul and direct access), satellite loT, mm Wave use for satellite networks, machine learning and artificial intelligence, edge computing, QoS/QoE, security, network management and standardization. The work on the roadmap will continue towards the next edition of the roadmap addressing new challenges and potential solutions for future networks.
Posted ContentDOI
27 Oct 2022
TL;DR: In this article , the authors considered a UAV aided communication system using in-band backhaul technology to maximize the minimum reachable rate of ground users by jointly optimizing the hovering position, bandwidth allocation, transmit power and user association of UAVs.
Abstract: Abstract With the advantages of flexible deployment and configuration, fast response, and strong environmental adaptability, UAV aided communication has important applications in temporary hotspot areas, edge areas, and emergency communication scenarios. Compared with traditional wired backhaul links from ground base stations, considering the high mobility of UAV base stations, this paper considers a UAV aided communication system using in-band backhaul technology to maximize the minimum reachable rate of ground users by jointly optimizing the hovering position, bandwidth allocation, transmit power and user association of UAVs. To address this problem, an multi-coding artificial bee colony algorithm is proposed in this paper to solve the proposed joint optimization problem, extending the dimensionality of the search performed on the solution space. Simulation results show that the proposed multivariate coded artificial bee colony algorithm can achieve significant rate gain and improve the minimum reachable rate of ground users in UAV aided communication systems within a limited number of iterations compared to the block coordinate descent method.
Journal ArticleDOI
TL;DR: In this article , a joint NU clustering and power and subchannel allocation problem for uplink multi-carrier non orthogonal multiple access (MC-NOMA) based two-tier heterogeneous networks (HetNets) with wireless backhaul is investigated.
Abstract: In this paper, we investigate energy efficient resource allocation for uplink multi-carrier non orthogonal multiple access (MC-NOMA) based two-tier heterogeneous networks (HetNets) with wireless backhaul. We have exploited channel diversity by assigning multiple subchannels to various MC-NOMA users (NUs), while allowing multiple NUs to use the same subchannel. We formulate a joint NU clustering, and power and subchannel allocation problem for system's energy efficiency (EE) maximization under the constraints of minimum quality of service (QoS) requirement, maximum allowable transmit power for each NU, and successive interference cancelation. The formulated problem is non-convex with fractional objective function, and therefore, to convert it into a tractable from, it is divided into two subproblems, i.e., subchannel allocation and NU clustering subproblem, and power allocation subproblem. The subchannel allocation and NU clustering subproblem is solved through a suboptimal algorithm, which exploits the channel diversity by maintaining maximum possible difference in transmit power levels of clustered NUs. Whereas for the power allocation subproblem, the EE optimization problem is convexified through Dinkelbach and successive convex approximation techniques and a closed-form suboptimal solution is obtained. The simulation results show that the proposed energy efficient algorithm outperforms the existing NOMA and orthogonal multiple access (OMA) algorithms. The proposed approach also guarantees user fairness by giving priority to the NUs with unfulfilled throughput requirements.
Proceedings ArticleDOI
01 Mar 2023
TL;DR: In this article , the effect of deployment optimization on the coverage of integrated access and backhaul (IAB) networks is studied, in which the same node/hardware is used to provide both backhaul and cellular services in a multi-hop fashion.
Abstract: Integrated access and backhaul (IAB) is one of the promising techniques for 5G networks and beyond (6G), in which the same node/hardware is used to provide both backhaul and cellular services in a multi-hop fashion. Due to the sensitivity of the backhaul links with high rate/reliability demands, proper network planning is needed to make the IAB network performing appropriately and as good as possible. In this paper, we study the effect of deployment optimization on the coverage of IAB networks. We concentrate on the cases where, due to either geographical or interference management limitations, unconstrained IAB node placement is not feasible in some areas. To that end, we propose various millimeter wave (mmWave) blocking-aware constrained deployment optimization approaches. Our results indicate that, even with limitations on deployment optimization, network planning boosts the coverage of IAB networks considerably.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023199
2022446
2021328
2020504
2019565
2018596