Scenarios for 5G networks: The COHERENT approach

Kostopoulos, Alexandras; Agapiou, George; Kuo, Fang-Chun; Pentikousis, Kostas; Cipriano, Antonio Maria; Panaitopol, Dorin; Marandin, Dimitri; Kowalik, Karol; Alexandris, Konstantinos; Chang, Chia‐Yu; Nikaein, Navid; Goldhamer, Mariana; Kliks, Adrian; Steinert, Rebecca; Mämmelä, Aarne; Chen, Tao

doi:10.1109/ict.2016.7500421

Cited by 14 publications

(9 citation statements)

References 2 publications

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“… The COHERENT project aims to develop a programmable control and coordination framework which is aware of the underlying network topology, radio environment and traffic conditions, and can efficiently coordinate available spectrum resources. 21  Developing an innovative 5G resource management framework to enable enhanced interference management, dynamic traffic steering, fast RAN (Radio Access Network) moderation, efficient context management is one of the stated goal of the METIS-II project. 22  The 5G-PPP's X-haul project wants to design a flexible backhaul/fronthaul network with a cognitive control plane that can predict and adapt to spatio-temporal demand variations and allocate resources accordingly.…”

Section: G Standards and Resource Managementmentioning

confidence: 99%

Network Sharing and 5G in Europe: The Potential Benefits of Using SDN or NFV

Marcus

Molnar

2017

SSRN Journal

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Section: G Standards and Resource Managementmentioning

confidence: 99%

Network Sharing and 5G in Europe: The Potential Benefits of Using SDN or NFV

Marcus

Molnar

2017

SSRN Journal

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“…From a programmability perspective, several approaches and architectures for flexible management of software‐defined RANs have been proposed. () The proposed architectures are aimed to enable logically centralised control for dynamic resource management and RAN slicing . Moreover, this paradigm allows for effective coordination of radio resources and interference management.…”

Section: Related Workmentioning

confidence: 99%

“…A logically centralised controller plane may consist of various types of controllers capable of operating at different timescales to perform control operations both in real time and at longer timescales. () However, scalability of centralised approaches remains an issue.…”

Section: Related Workmentioning

confidence: 99%

Distributed dynamic load balancing with applications in radio access networks

et al. 2017

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Summary Managing and balancing load in distributed systems remains a challenging problem in resource management, especially in networked systems where scalability concerns favour distributed and dynamic approaches. Distributed methods can also integrate well with centralised control paradigms if they provide high‐level usage statistics and control interfaces for supporting and deploying centralised policy decisions. We present a general method to compute target values for an arbitrary metric on the local system state and show that autonomous rebalancing actions based on the target values can be used to reliably and robustly improve the balance for metrics based on probabilistic risk estimates. To balance the trade‐off between balancing efficiency and cost, we introduce 2 methods of deriving rebalancing actuations from the computed targets that depend on parameters that directly affects the trade‐off. This enables policy level control of the distributed mechanism based on collected metric statistics from network elements. Evaluation results based on cellular radio access network simulations indicate that load balancing based on probabilistic overload risk metrics provides more robust balancing solutions with fewer handovers compared to a baseline setting based on average load.

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“…To achieve the technical objectives of 5G [2] and create networks that are manageable, controllable and operable across heterogeneous infrastructures, the telecom industry and the research community emphasize the need of developing intelligent mechanisms for network management and control. In this context, a fundamental component is the ability to observe and coordinate network resources across heterogeneous RATs using unified high-level abstractions [4]. Development of such monitoring and control methods continue to be a challenge, due to 1) scalability limitations in making direct measurements and, 2) observability limitations in passive observations of related metrics.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic multi-RAT performance abstractions

Rao

Steinert

2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

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Development towards 5G has introduced difficult challenges in effectively managing and operating heterogeneous infrastructures under highly varying network conditions. Enabling, for example, unified coordination and management of radio resources across coexisting, multiple radio access technologies (multi-RAT), require efficient representation using high-level abstractions of the radio network performance and state. Without such abstractions, users and networks cannot harvest the full potential of increased resource density and connectivity options resulting in failure to meet the ambitions of 5G. We present a generic probabilistic approach for unified estimation of performance variability based on attainable throughput of UDP traffic in multi-RATs, and evaluate the applicability in an interface selection control case (involving WiFi and LTE) based on obtaining probabilistic user performance guarantees. From simulations we observe that both users and operators can significantly benefit from this improved service availability at low network cost. Initial results indicate 1) 116% fewer performance violations and 2) 20% fewer performance violations with a reduction by 35 times in the number of handovers, compared to naive and state-of-the-art baselines, respectively.

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Scenarios for 5G networks: The COHERENT approach

Cited by 14 publications

References 2 publications

Network Sharing and 5G in Europe: The Potential Benefits of Using SDN or NFV

Network Sharing and 5G in Europe: The Potential Benefits of Using SDN or NFV

Distributed dynamic load balancing with applications in radio access networks

Probabilistic multi-RAT performance abstractions

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