On the joint optimisation of radio access and backhaul networks

Jaber, Mona; Imran, Muhammad Ali; Tafazolli, Rahim; Tukmanov, Anvar

doi:10.1109/icieect.2017.7916587

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…In order to capitalize on the offered degrees of freedom and traffic diversity, a holistic NPM approach is essential to curtail the limitations of the silo-based analysis. Indeed, different sections of the network can no longer be looked at independently as separate subsystems since these have transformed into a fluid architecture that requires delicate tuning [18], [19]. To this end, operators need to leverage holistic data-driven AI methods to automate the process of NPM and unravel the gain of indispensable elasticity.…”

Section: State-of-the-art In Npm For Zsm Networkmentioning

confidence: 99%

See 1 more Smart Citation

A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis

Rizwan¹,

Jaber

Filali

et al. 2021

IEEE Access

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Section: State-of-the-art In Npm For Zsm Networkmentioning

confidence: 99%

“…The algorithmic approach in 1 identifies a group SPG 20 15,V which includes 5 cells with pattern V I, IV, V . These cells are in multiple groups during Day I including SPG 6 12,V I discussed in Section VI-A and SPG 6 16,V I and SPG 18 17,V I . These cells seem to never recover completely.…”

Section: Root-cause Analysis: Cell-specific Using Kpismentioning

confidence: 99%

A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis

Rizwan¹,

Jaber

Filali

et al. 2021

IEEE Access

Self Cite

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“…Moreover, authors in [10], the backhaul and radio access are optimized jointly, and it is introduced as a key enabler to next generation mobile networks; the possibility of optimizing the energy consumption, in addition to network and users performance, is also validated.…”

Section: Introductionmentioning

confidence: 99%

Wireless Backhauling for Energy Harvesting Ultra-Dense Networks

Rostami¹,

Heiska²,

Puchko³

et al. 2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Due to a non-negligible amount of energy consumption of state-of-the-art small cells at idle mode, energy efficiency of network decreases with densification. Therefore, energy efficiency in ultra-dense networks (UDNs) is one of the key challenges for mobile network operators (MNOs) to reduce their operative expenditure (OPEX), and to mitigate the carbon footprint. Low-power and low-cost dense networks are vital to extend next generation cellular networks functionalities by improving network capacity in hot-spot areas, and to deploy networks in short time periods. In energy harvesting networks, access points (APs) may perform both backhaul and access data communication, simultaneously; removing UDN dependency on optical distribution network and electrical grid. In this paper, different power modes and essential signaling for operation of such APs are introduced, aiming to reduce energy consumption of UDNs by integrating energy harvesters into APs, equipped with wireless backhaul.

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“…In this way, backhaul and access networks become fully aware of each other's requirements and limitations. In recent research, it is commonly agreed that joint operation of access and backhaul is inevitable in future networks [33] and, subsequently, research efforts addressing different aspects of the joint operation mechanisms are available. In the following discussion, the related works are categorized as joint functional design and joint optimization of access and backhaul networks.…”

Section: Joint Access-backhaul Mechanismmentioning

confidence: 99%

Joint access-backhaul mechanisms in 5G cell-less architectures

Rony

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Older generations of wireless networks, such as 1G and 2G were deployed using leased line, copper or fibre line as backhaul. Later, in 3G and 4G, microwave wireless links have also worked as backhaul links while the backbone of the network was still wireline-based. However, due to multiple different use cases and deployment scenarios of 5G, solo wireline based backhaul network is not a cost-efficient option for the operators anymore. For cost-efficient and fast deployment, wireless backhaul options are very attractive. As drawbacks, wireless backhaul links have capacity and distance limitations. To take the advantages of both the solutions, i.e., wired and wireless, 5G transport networks are anticipated to be a heterogeneous, complex, and with stringent performance requirements. To address the aforementioned challenges, wireless backhaul options are providing more attractive solutions, and hence, technologies using the same resources (e.g., frequency channels) may be used by both access and backhaul networks. In this scenario, blurring the separation line between access and backhaul networks allows resource sharing and cooperation between both the networks and minimizes the network deployment and maintenance cost significantly. Therefore, in 5G, the access and backhaul networks cannot be seen as separate entities; rather, we seek to integrate them together to ensure the best use of resources. In this thesis, firstly, we investigate the challenges and potential technologies of 5G transport network. Later, to address these challenges, we identify and present different approaches to perform joint access-backhaul mechanism. An initial performance evaluation of access-aware backhaul optimization is presented, where backhaul network is dynamically assigned with the required resources to serve the dynamic requirements of a 5G access network. The evaluation results and discussions manifest the resource efficiency of joint access-backhaul mechanisms. Functional splits in different layers of the access network comes as an intelligent solution to reduce the enormous capacity requirements of the transport network in a centralized radio access network approach, which tends to centralize almost all the functionalities into a central unit, leaving only radio frequency functions at the access points. From the joint access-backhaul mechanism perspective, we propose a novel technique, which takes the benefit of functional splits at physical layer, to design a heterogeneous transport network in an economical budget-limited and capacity-limited scenario. Till today, the limited capacity of the wireless backhaul links remains a challenge, and hence, frequency spectrum becomes scarce, and requires efficient utilization. To address this challenge, a joint spectrum sharing technique to implement joint accessbackhaul mechanism is presented. Evaluation results show that our proposed joint spectrum sharing technique, where spectrum allocation in the backhaul network follows the access network's traffic load, is fair and efficient in terms of spectrum utilization. We also propose a machine learning technique, which analyses data from a real network and estimates access network's traffic pattern, and subsequently, assigns bandwidth in the access network according to the traffic estimations. Presented evaluation results show that a well-trained machine learning model can be very efficient to obtain an efficient utilization of frequency spectrum. Las primeras generaciones de redes móviles, se implementaron utilizando líneas de cobre o fibra para la conexión entre la red de acceso y el núcleo de la red (conexión backhaul). Más tarde, los enlaces inalámbricos también han funcionado como backhaul mientras que la columna vertebral de la red seguía basada en cable. Sin embargo, debido a los múltiples escenarios de implementación de 5G, una red de backhaul basada solamente en cable ya no es una opción rentable para los operadores. Para una implementación rentable y rápida, las opciones de backhaul inalámbrico son muy atractivas. Como inconvenientes, los enlaces backhaul inalámbricos tienen limitaciones de capacidad y distancia. Para aprovechar las ventajas de ambas soluciones, es decir, cableadas e inalámbricas, se prevé que las redes de transporte 5G sean heterogéneas, complejas y con estrictos requisitos de rendimiento. Para abordar los desafíos antes mencionados, las opciones de backhaul inalámbrico brindan soluciones más atractivas y, por lo tanto, las tecnologías que usan los mismos recursos (por ejemplo, canales de frecuencia) pueden usarse tanto en las redes de acceso como en las de backhaul. En este escenario, desdibujar la línea de separación entre las redes de acceso y backhaul permite el intercambio de recursos y la cooperación entre ambas redes, y minimiza significativamente los costes de implementación y mantenimiento de la red. Por lo tanto, en 5G las redes de acceso y backhaul no pueden verse como entidades separadas; más bien consideraremos su integración para asegurar el mejor uso de los recursos. En esta tesis, en primer lugar, investigamos los desafíos y las tecnologías potenciales para la implementación de la red de backhaul 5G. Más tarde, para abordar dichos desafíos, identificamos diferentes enfoques para un mecanismo conjunto de gestión de la red de acceso y backhaul. Se presenta una evaluación de rendimiento inicial para la optimización de backhaul que tiene en cuenta el estado de la red de acceso, donde la red de backhaul se equipa dinámicamente con los recursos necesarios para cumplir con los requisitos de la red de acceso 5G. Los resultados de la evaluación manifiestan la mayor eficiencia de los mecanismos de gestión de recursos que consideran redes de acceso y backhaul conjuntamente. Las divisiones funcionales en diferentes capas de la red de acceso (functional splits) se presentan como una solución inteligente para reducir los enormes requisitos de capacidad de la red de transporte en un enfoque de red de acceso, que tiende a centralizar casi todas las funcionalidades en una unidad central, dejando solo las funciones más relacionadas con la transmisión/recepción de señales en los puntos de acceso. Desde la perspectiva del mecanismo conjunto de red de acceso y backhaul, proponemos una técnica novedosa, que aprovecha las divisiones funcionales en la capa física para diseñar una red de transporte heterogénea con un presupuesto económico y un escenario de capacidad limitada. Hasta el día de hoy, la capacidad limitada de los enlaces inalámbricos sigue siendo un desafío, dado que el espectro de frecuencias es escaso y requiere una utilización eficiente. Para hacer frente a este desafío, se presenta una técnica de gestión de recursos espectrales compartidos entre red de acceso y backhaul. Los resultados de la evaluación muestran que nuestra propuesta, donde la asignación de espectro en la red de backhaul se hace de acuerdo a la carga de tráfico de la red de acceso, es justa y eficiente. También proponemos una técnica de aprendizaje automático, que analiza datos de una red real y estima el patrón de tráfico de la red de acceso para, posteriormente, asignar ancho de banda en la red de acceso de acuerdo con dichas estimaciones. Los resultados de la evaluación presentados muestran que un modelo de aprendizaje automático bien entrenado puede ser una herramienta muy útil a la hora de obtener una utilización eficiente del espectro de frecuencias.

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On the joint optimisation of radio access and backhaul networks

Cited by 3 publications

References 19 publications

A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis

A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis

Wireless Backhauling for Energy Harvesting Ultra-Dense Networks

Joint access-backhaul mechanisms in 5G cell-less architectures

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