Self-organizing networks in 3GPP: standardization and future trends

Jorguseski, L.; Pais, A.V.; Gunnarsson, Fredrik; Centonza, Angelo; Willcock, Colin

doi:10.1109/mcom.2014.6979983

Cited by 69 publications

(26 citation statements)

References 3 publications

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“…Mine planning essentially determines where, when, and to what extent the terrain profile will be modified, also providing estimates of fleet sizes and their communications requirements, translating into quasi-determinist traffic dimensioning information in the wireless world. Acknowledging the value of this data coming from the mining domain, we present an integrated framework inspired by the concepts of radio environment maps (REMs) [12] and self-organizing networks (SONs) [13]. The framework is shown in Fig.…”

Section: Planning Aheadmentioning

confidence: 99%

Mission-critical mobile broadband communications in open-pit mines

et al. 2016

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The need for continuous safety improvements and increased operational efficiency is driving the mining industry through a transition toward automated operations. From a communications perspective, this transition introduces a new set of high-bandwidth business-critical and mission-critical applications that need to be met by the wireless network. This article introduces fundamental concepts behind open-pit mining and discusses why this ever-changing environment and strict industrial reliability requirements pose unique challenges to traditional broadband network planning and optimization techniques. On the other hand, unlike unpredictable disaster scenarios, mining is a carefully planned activity. Taking advantage of this predictability element, we propose a framework that integrates mine and radio network planning so that continuous and automated adaptation of the radio network becomes possible. The potential benefits of this framework are evaluated by means of an illustrative example.

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Section: Planning Aheadmentioning

confidence: 99%

Mission-critical mobile broadband communications in open-pit mines

et al. 2016

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“…Similar to CloudRAN [1] and Cloudiq [6], it leverages the global network view to simplify the implementation of the otherwise non-trivial, network-wide functionalities, such as load balancing, utility maximization, and Layer 1 coordination. SoftCell [7] targets the simplification of cellular networks by, among other methods, placing middleboxes in the cellular core and supporting high-level, subscriber-oriented policies that dictate the traversal of traffic through those middleboxes.…”

Section: Related Workmentioning

confidence: 99%

“…Cloud-RAN [1] capitalizes on advances in optical and virtualization technologies to enable massively centralized BS deployment by enabling the connection of thousands of RRHs to a centralized, cloud-hosted, pool of baseband units (BBU). Besides the benefits of hosting BBUs in the cloud (pay-as-you-go, easier deployment and updates, capability to support multiple standards), two additional advantages are identified from a potential interplay between SD-SON and Cloud-RAN: (a) BBUs are co-located, thus they are physically capable of collaborating.…”

Section: Sd-son In Cloud Ransmentioning

confidence: 99%

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An open framework for programmable, self-managed radio access networks

et al. 2015

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“…To meet these rigorous requirements, several advanced air interfaces have been proposed and evaluated, including massive multiple‐input–multiple‐output (MIMO) transmission, millimeter‐wave (mmWave) transmission, full‐duplex self‐backhauling, etc. On the other hand, novel networking strategies are also emerging, of which ultradense deployment and green communication (with smaller coverage and lower power consumption) are the main characteristics …”

Section: Introductionmentioning

confidence: 99%

Low‐complexity networking based on joint energy efficiency in ultradense mmWave backhaul networks

Tan

Zhao

et al. 2018

Trans Emerging Tel Tech

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As operation cost and energy consumption problems deteriorate with network densification toward 5G, traditional radio resource management and networking strategies must be upgraded. It is observed that when the access network is dealing with a large amount of user traffic, the backhaul (BH) network turns out to be the new bottleneck hindering the cellular system from further increasing its capacity and efficiency. Although wired transmission technologies, such as passive optic fiber networks, are generally available between base stations, the resulting capital expenditure and operational expenditure are prohibitive in an ultradense deployment scenario. To redesign the BH network in 5G, multihop millimeter‐wave transmission is considered as a cost‐efficient and well‐performing candidate. In this paper, we propose a low‐complexity method based on millimeter‐wave transmission to minimize the energy consumption from both the access network and the BH network through joint admission‐power‐traffic control. Concretely, a self‐organizing heuristics is created through which the access and backhaul joint energy efficiency of both the base station and the whole system is maximized under the assumption of predefined user rate requirements. Simulation results show that our proposed method achieves significant reduction (∼95%) in algorithm execution time compared with the branch‐and‐bound search at the expense of little extra energy cost (∼7%). In addition, our proposed method satisfies the quality‐of‐service requirements of user equipment in the system with a lower transmission delay in terms of hops than that of the branch‐and‐bound search. A baseline algorithm called MR‐MPF (maximum reference signal receiver power admission control with minimum power flooding) is also compared to demonstrate our algorithm's superiority in energy saving.

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Self-organizing networks in 3GPP: standardization and future trends

Cited by 69 publications

References 3 publications

Mission-critical mobile broadband communications in open-pit mines

Mission-critical mobile broadband communications in open-pit mines

An open framework for programmable, self-managed radio access networks

Low‐complexity networking based on joint energy efficiency in ultradense mmWave backhaul networks

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