Multipath routing for mmWave WMN backhaul

Seppänen, Kari; Kilpi, Jorma; Paananen, Jori; Suihko, Tapio; Wainio, Pekka; Kapanen, Jouko

doi:10.1109/iccw.2016.7503795

Cited by 20 publications

(6 citation statements)

References 18 publications

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“…We assume the controller is also responsible for computing paths p k for all flows k traversing the backhaul, which is orthogonal to the problem we attack and thus not explicitly considered herein. This is aligned with previous work on mm-wave backhauling where path computation and link scheduling are dealt with separately [50]. We give an overview of the overall envisioned system in Fig.…”

Section: System Modelsupporting

confidence: 62%

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls

Patras

2020

IEEE Trans. on Mobile Comput.

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5G mobile networks are expected to provide pervasive high speed wireless connectivity and support increasingly resource intensive user applications. Network hyper-densification therefore becomes necessary, though connecting to the Internet tens of thousands of base stations is non-trivial, especially in urban scenarios where optical fibre is difficult and costly to deploy. The millimetre wave (mm-wave) spectrum is a promising candidate for inexpensive multi-Gbps wireless backhauling, but exploiting this band for effective multi-hop data communications is challenging. In particular, resource allocation and scheduling of very narrow transmission/ reception beams require to overcome terminal deafness and link blockage problems, while managing fairness issues that arise when flows encounter dissimilar competition and traverse different numbers of links with heterogeneous quality. In this paper, we propose WIHAUL, an airtime allocation and scheduling mechanism that overcomes these challenges specific to multi-hop mm-wave networks, guarantees max-min fairness among traffic flows, and ensures the overall available backhaul resources are fully utilised. We evaluate the proposed WIHAUL scheme over a broad range of practical network conditions, and demonstrate up to 5× individual throughput gains and a five-fold improvement in terms of measurable fairness, over recent mm-wave scheduling solutions.Index Terms-mm-wave, backhauling, multi-hop, max-min fairness. ! arXiv:1709.07078v2 [cs.NI]

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Section: System Modelsupporting

confidence: 62%

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls

Patras

2020

IEEE Trans. on Mobile Comput.

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“…Beyond the practical analysis above, there are also a number of studies that explore FWA backhaul networks from a theoretical perspective [25][26][27][28]. In particular, Ref.…”

Section: Performance Analysis and Optimisation In 5g Npn Fwa Backhaulmentioning

confidence: 99%

Optimal Meshing Degree Performance Analysis in a mmWave FWA 5G Network Deployment

2023

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Fifth-generation technologies have reached a stage where it is now feasible to consider deployments that extend beyond traditional public networks. Central to this process is the application of Fixed Wireless Access (FWA) in 5G Non-public Networks (NPNs) that can utilise a novel combination of radio technologies to deploy an infrastructure on top of 5G NR or entirely from scratch. However, the use of FWA backhaul faces many challenges in relation to the trade-offs for reduced costs and a relatively simple deployment. Specifically, the use of meshed deployments is critical as it provides resilience against a temporary loss of connectivity due to link errors. In this paper, we examine the use of meshing in a FWA backhaul to determine if an optimal trade-off exists between the deployment of more nodes/links to provide multiple paths to the nearest Point of Presence (POP) and the performance of the network. Using a real 5G NPN deployment as a basis, we have conducted a simulated analysis of increasing network densities to determine the optimal configuration. Our results show a clear advantage for meshing in general, but there is also a performance trade-off to consider between overall network throughput and stability.

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“…In this area, the attention is mainly devoted to wireless backhauling at mmWave frequencies, which is a promising solution for small cells. The focus is on multi-hop transmissions, whose goal is to increase system throughput jointly optimizing resource allocation and capacity-aware routing [26][27][28][29][30]. Routing in a wireless SDN (i.e., not a backhaul network) is investigated in [31], where a modified shortest-widest path algorithm is proposed.…”

Section: Related Literaturementioning

confidence: 99%

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Marabissi

Fantacci

Simoncini

2019

JSAN

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Ultra-Dense Network (UDN) deployment is considered a key element to achieve the requested capacity in future fifth-generation (5G) mobile networks. Backhaul networks in UDNs are formed by heterogeneous links with multi-hop connections and must handle massive traffic. Backhauling in future 5G networks may represent the capacity bottleneck. Therefore, there is the need for efficient and flexible routing schemes able to handle the dynamism of the traffic load in capacity-limited networks. Toward this goal, the emerging Software-Defined Network (SDN) paradigm provides an efficient solution, transferring the routing operation from the data plane switches to a central controller, thus achieving more flexibility, efficiency, and faster convergence time in comparison to conventional networks. This paper proposes and investigates an SDN-approach for an efficient routing in a capacity-limited backhaul network that carries data and control traffic of a heterogeneous UDN. The routing algorithm is centralized in the SDN controller and two different types of traffic flow are considered: data and control plane coordination traffic. The goal is to reduce or even to avoid the amount of traffic that the backhaul network is not able to support, distributing in a fair way the eventual lack of bandwidth among different access points. Simulation results show that with the considered approach the performance significantly improves, especially when there is an excess of traffic load in the network. Moreover, thanks to the SDN-based design, the network can reconfigure the traffic routing depending on the changing conditions.

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Multipath routing for mmWave WMN backhaul

Cited by 20 publications

References 18 publications

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls

Optimal Meshing Degree Performance Analysis in a mmWave FWA 5G Network Deployment

SDN-Based Routing for Backhauling in Ultra-Dense Networks

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