Investigation of performance in integrated access and backhaul networks

Islam, Muhammad Nazmul; Abedini, Navid; Hampel, Georg; Subramanian, S.; Li, Junyi

doi:10.1109/infcomw.2018.8406872

Cited by 31 publications

(17 citation statements)

References 8 publications

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“…Resource allocation-related approaches and results can be found in, e.g., Islam et al (2017Islam et al ( , 2018, Li et al (2017), Saha et al (2018), Dhillon (2019), andLiu et al (2020). In Saha and Dhillon (2019), the authors first focus on a stochastic geometry-based model for analytically characterizing the performance of IAB networks, such as the downlink rate coverage probability.…”

Section: Related Workmentioning

confidence: 99%

“…Based on simulation results, it is concluded that IAB can significantly reduce the fiber drop deployment cost of the network compared to fixed access backhaul network. In Islam et al (2018), a joint resource allocation and relay selection in a multi-hop IAB network is investigated to maximize the geometric mean of UE rates and with the aim of demonstrating the advantages of IAB networks over purely access networks. Without providing any algorithmic details, the proposed method focuses on an optimal mesh solution by maximizing a defined objective function.…”

Section: Related Workmentioning

confidence: 99%

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Optimal Topology Formation and Adaptation of Integrated Access and Backhaul Networks

et al. 2021

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With the increasing densification of cellular networks, it has become exceedingly difficult to provide traditional fiber backhaul access to each cell site, which is especially true for small cell base stations (SBSs). The increasing maturity of millimeter wave (mmWave) communication coupled with multiple-input-multiple-output (MIMO) and beamforming technologies has opened up the possibility of providing high-speed wireless backhaul to such cell sites. The third-generation partnership project (3GPP) is defining an integrated access and backhaul (IAB) architecture for the fifth-generation (5G) cellular networks, in which the same infrastructure and spectral resources are used for both the access and the backhaul. In IAB networks, SBSs, so-called IAB nodes, act either as relay nodes carrying the traffic through multiple hops from a macrocell to an end user and vice versa or as access points to serve user equipments (UEs) in their proximity. To this end, the topology of such IAB networks is essential to enable efficient traffic flow and minimize congestion or increase robustness to backhaul link failure. In this paper, we propose a topology formation algorithm together with methodologies to implement it in real networks and compare it with a standard random sequence approach as well as with an optimal topology obtained using dynamic programming. Our simulation results demonstrate that the proposed algorithm outperforms the random sequence approach by 26% on average in terms of lower bound of the network capacity and is up to 99.7% close to the optimal solution, while being significantly less complex.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Optimal Topology Formation and Adaptation of Integrated Access and Backhaul Networks

et al. 2021

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“…A distributed approach to calculate new IAB topologies was presented in [21], where IAB-nodes selected parent nodes based on link signal strength and on the number of hops needed to reach an IAB-donor. In addition, authors in [22] considered existing resource sharing between IAB links when forming backhaul topologies.…”

Section: Related Workmentioning

confidence: 99%

A Randomized Greedy Heuristic for Steerable Wireless Backhaul Reconfiguration

Skorin-Kapov¹,

Santos

Ghazzai

et al. 2021

Electronics

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In this paper, we consider the reconfiguration of wireless backhaul networks with mechanically steerable antennas in the presence of changing traffic demands. Reconfiguration requires the scheduling and coordination of several operations, including antenna alignment and link establishment/removal, with minimal disruption to existing user traffic. Previously, we proposed a Mixed Integer Linear Program (MILP) to orchestrate such reconfiguration with minimal packet loss. While the MILP solves the problem optimally for a limited number of discrete reconfiguration time slots, it does not scale well. In this paper, we propose an iterative randomized greedy algorithm to obtain suboptimal solutions in reduced time. The algorithm schedules the reconfiguration of wireless links by ranking them according to a set of attributes with associated weights and selecting them according to a randomized greedy function. Results on six different network scenarios indicate that the proposed algorithm can achieve good quality solutions in significantly less time. Furthermore, by extending the reconfiguration time beyond the maximum number of time slots solvable by the MILP, the proposed heuristic can obtain superior solutions for some problem instances. The number of iterations of the algorithm can be tuned for its applicability in both offline and online planning scenarios.

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“…We then analyse traffic demand in the access network, load balancing across IAB-donors, the maximum number of hops, and the selected routes' path length to optimally select the association between IAB-donors and IAB-nodes, and the path connecting them. The authors in [10] investigate joint resource allocation and relay selection in a multi-hop IAB network to maximise the geometric mean of UE rates. They compare different optimisation variants, considering Reference Signal Receive Power (RSRP)-based spanning tree and mesh IAB network, including the impact of load-balancing in the access network.…”

Section: A Related Work and Our Contributionmentioning

confidence: 99%

“…They compare different optimisation variants, considering Reference Signal Receive Power (RSRP)-based spanning tree and mesh IAB network, including the impact of load-balancing in the access network. Minimising the number of donors is a common objective in [10] and our work. However, the authors there incorporate a constraint on the UE demand in the access network, while this work includes the constraint on the maximum number of hops, informed by delay considerations for eMBB traffic.…”

Section: A Related Work and Our Contributionmentioning

confidence: 99%

Delay-oriented IAB Topology Optimisation

McMenamy¹,

Haustein²,

Macaluso³

2021

Preprint

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Integrated access and bachhaul (IAB), introduced in 3GPP Release 16, is expected to be one of the main enablers for dense deployments in mmWave spectrum. The IAB architecture brings in topology changes, which impact network-related aspects, such as ensuring robust routing of traffic and load-balancing. While an IAB network should be transparent to the UE, its topology design may affect the end-user performance. Of particular importance in these first releases, hence, is to determine and evaluate optimal IAB topologies. This paper addresses optimal organisation of IAB nodes by considering a number of inter-connected aspects, including maximum number of hops, path-length, load balancing between the IAB-donors and traffic demand in the access network. In that, we focus on one of the parameters most sensitive to the architectural changes in the network - delay. Our analysis relies on the connectivity graph obtained by considering some practical aspects of sectorised beamforming using real mmWave antenna patterns.

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Investigation of performance in integrated access and backhaul networks

Cited by 31 publications

References 8 publications

Optimal Topology Formation and Adaptation of Integrated Access and Backhaul Networks

Optimal Topology Formation and Adaptation of Integrated Access and Backhaul Networks

A Randomized Greedy Heuristic for Steerable Wireless Backhaul Reconfiguration

Delay-oriented IAB Topology Optimisation

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