Net2plan-GIS: An Open-Source Net2Plan Extension Integrating GIS Data for 5G Network Planning

Romero-Gázquez, José-Luis; Bueno-Delgado, M. V.; Moreno-Muro, Francisco-Javier; Pavón‐Mariño, Pablo

doi:10.1109/icton.2018.8473784

Cited by 11 publications

(14 citation statements)

References 8 publications

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“…Net2Plan-GIS [11] is used to solve the 5G network dimensioning problem described in Section 4, which is an open source extension of Net2Plan planning tool [15][8] that permits importing data of different layers from GIS databases to solve network planning problems. A snapshot of Net2Plan-GIS with the scenario under studio is shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Lamp posts in streets are the candidate locations for placing microcells. The geolocation data of these have been obtained from Geographic Information System (GIS) database of Cartagena city, provided by the City Hall [11]. The set of locations of buildings has been imported from Open Street Maps [12] and the set of locations where 4G antennas are installed has been extracted from [13].…”

Section: Dimensioning 5g Backhaul Segment In a Dense Urban Area Probmentioning

confidence: 99%

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A Use Case of Shared 5G Backhaul Segment Planning in an Urban Area

Romero-Gázquez

Moreno-Muro

Garrich

et al. 2019

2019 21st International Conference on Transparent Optical Networks (ICTON)

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This work presents a case study for the network planning of a 5G backhaul in a dense urban area. The study is fed by estimated population density data and real geographical layout coming from a Spanish city (Cartagena, around 220,000 population). The layout includes current locations of 4G base stations, which are assumed to place also new 5G macrocells, and real positions of lamp posts. The study assumes (i) an agreement among mobile operators to share the 5G network infrastructure, and (ii) a hypothetical agreement with the city hall, where the 5G deployment can be done by using city lamp posts for installing microcells, covering the city with a broadband 5G network outdoor access. An algorithm has been implemented to solve the dimensioning problem, as an Integer Linear Programming (ILP) technique. The deployment cost is proportional to the number of microcells to be installed in the study scenario. Results in terms of total number of microcells to be installed and traffic per microcell for different ratios of traffic demanded vs traffic carried are also analysed. The results can help mobile network operators to drive their strategic investment decisions.

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Section: Resultsmentioning

confidence: 99%

Section: Dimensioning 5g Backhaul Segment In a Dense Urban Area Probmentioning

confidence: 99%

A Use Case of Shared 5G Backhaul Segment Planning in an Urban Area

Romero-Gázquez

Moreno-Muro

Garrich

et al. 2019

2019 21st International Conference on Transparent Optical Networks (ICTON)

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“…The contribution contained herein is based on seminal works that comprise: i) consistent and realistic 5G metro network simulation frameworks [27], ii) NFV-over-IP-over-WDM multilayer network modelling [28], iii) optical node comparison in terms of cost-performance trade-off analysis [29], [30], and iv) SDN/NFV-based agile control plane integration and evaluation for access and metropolitan optical networks [31], [32]. Additionally, to allow repeatability and accessibility, our developments are coded with open-source tools and are available in METRO-HAUL repositories [33].…”

Section: Our Contributionmentioning

confidence: 99%

Techno-Economic Impact of Filterless Data Plane and Agile Control Plane in the 5G Optical Metro

Pavón‐Mariño

Moreno-Muro

Garrich

et al. 2020

J. Lightwave Technol.

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Optical metro networks evolution driven by 5G requirements face enormous challenges. Network functions virtualized in the data centers spread to the metro nodes, IP, and optical technologies must cooperate to meet the metro traffic aggregation role. Multiple technological options exist, and carriers confront the need to economically assess them, benchmarked in realistic deployments. This paper gives relevant insights to this aim. We first construct a set of metro network benchmarks. A strategic and distinctive effort is made to incorporate metro WDM topologies, traffic profiles and daily variation patterns, fault-tolerance requisites, and network operational choices, that faithfully reflect the expected 5G metro progression for a national carrier. Then, we use these networks to assess two technological choices. On one hand, the cost-effectiveness limits in terms of CAPEX reductions and energy efficiency brought from the possibility of having an agile control plane in the metro, capable of on-demand instantiation of IT and network resources. On the other hand, we investigate the benefits of replacing ROADMs by more cost-effective filterless technologies, but just limiting this replacement to degree-1 and degree-2 optical nodes, that are prevalent (e.g. >50%) in regional metro topologies. A novel capacity planning algorithm has been developed for IT, IP and optical resources allocation and dimensioning, providing fault-tolerant designs for the realistic scenarios defined. Simulation results have been obtained using the Net2Plan NIW (NFV over IP over WDM) open-source framework. Developed algorithms and part of the testing scenarios are available for inspection in public repositories of the EU METRO-HAUL project, the umbrella for our work. Our results show CAPEX benefits in the order of 10% and energy savings in the order of 20-30% stemming from the on-demand resource allocation in the metro. In addition, degree 1 and degree 2 optical nodes have shown to be a sweet spot for applying filterless switching, with mitigated impact of the associated spectrum waste.

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“…A use case is presented in the city of Cartagena (Spain), where the optimal path planning for plastic waste collection is solved. The city layout information has been imported into Net2Plan using the Net2Plan-GIS extension [14]. Net2Plan-GIS enables the management of data to and from GIS databases.…”

Section: Introductionmentioning

confidence: 99%

Optimal Path Planning for Selective Waste Collection in Smart Cities

Bueno-Delgado

Romero-Gázquez

Jiménez

et al. 2019

Sensors

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Waste collection is one of the targets of smart cities. It is a daily task in urban areas and it entails the planning of waste truck routes, taking into account environmental, economic and social factors. In this work, an optimal path planning algorithm has been developed together with a practical software platform for smart and sustainable cities that enables computing the optimal waste collection routes, minimizing the impact, both environmental (CO2 emissions and acoustic damage) and socioeconomic (number of trucks to be used and fuel consumption). The algorithm is executed in Net2Plan, an open-source planning tool, typically used for modeling and planning communication networks. Net2Plan facilitates the introduction of the city layout input information to the algorithm, automatically importing it from geographical information system (GIS) databases using the so-called Net2Plan-GIS library, which can also include positions of smart bins. The algorithm, Net2Plan tool and its extension are open-source, available in a public repository. A practical case in the city of Cartagena (Spain) is presented, where the optimal path planning for plastic waste collection is addressed. This work contributes to the urban mobility plans of smart cities and could be extended to other smart cities scenarios with requests of optimal path planning.

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Net2plan-GIS: An Open-Source Net2Plan Extension Integrating GIS Data for 5G Network Planning

Cited by 11 publications

References 8 publications

A Use Case of Shared 5G Backhaul Segment Planning in an Urban Area

A Use Case of Shared 5G Backhaul Segment Planning in an Urban Area

Techno-Economic Impact of Filterless Data Plane and Agile Control Plane in the 5G Optical Metro

Optimal Path Planning for Selective Waste Collection in Smart Cities

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