Energy Performance of 5G-NX Wireless Access Utilizing Massive Beamforming and an Ultra-Lean System Design

Tombaz, Sibel; Frenger, Pål; Athley, Fredrik; Semaan, Eliane; Tidestav, C.; Furuskar, A.

doi:10.1109/glocom.2015.7417240

Cited by 22 publications

(12 citation statements)

References 8 publications

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“…where the sleep mode 1 is the so-called micro-sleep and the sleep mode 2 the deep sleep. d NR is an efficiency factor of the RAT from the lean design, as used in [34]. Table 3 summarizes the parameters used in our power consumption model.…”

Section: Power Consumption Modelmentioning

confidence: 99%

Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

et al. 2019

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Two radio air interfaces, Evolved-LTE and New Radio, coexist in new 5G systems. New Radio operates in the millimeter band and provides a better bandwidth, but the higher frequencies also imply worse radio conditions. Multi-connectivity, a feature of 5G that allows users to connect to more than one base station simultaneously, can offer the advantages of both interfaces. In this paper, we investigate how multi-connectivity can improve user reliability and the system's energy efficiency. Five algorithms for secondary cell association are presented and evaluated. We show a decrease in the radio link failure rate of up to 50% at high speeds and improvements of the energy efficiency of up to 20% at low speeds.

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Section: Power Consumption Modelmentioning

confidence: 99%

Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

et al. 2019

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“…The pencil-sharp radiobeams produced by these base stations allow to increase the cell radius without compromising implementation complexity, cost-efficiency or energy consumption. Finally, we foresee the exploitation of new ultra-lean radio-protocols, which will be developed with the explicit goal in reducing the transmission overhead of the radio nodes and improving their energy efficiency [38].…”

Section: Exploitation Of Commodity Hardwarementioning

confidence: 99%

5G in rural and low-income areas: Are we ready?

Chiaraviglio

Bléfari-Melazzi

Liu

et al. 2016

2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT)

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Current trends in telecommunication networks foresee the adoption of the fifth generation (5G) of wireless networks in the near future. However, a large number of people are living without coverage and connectivity. To face this issue, we consider the possibility of deploying 5G networks in rural and low-income zones. After detailing the current state-of-the-art, we consider the main challenges that need to be faced. Moreover, we define the main pillars to follow in order to deploy 5G networks in such zones, as well as a proposal of a future network architecture

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“…Unless stated otherwise, the traffic profile of each access ring has a maximum capacity value of 1 Gbps∕km 2 [23]. We assume that the maximum capacity value provided by an RBS is equal to 100 Mbps∕km 2 for an MBS and 50 Mbps∕km 2 for an SC.…”

Section: Description Of the Scenariomentioning

confidence: 99%

“…[23,24], i.e., an area of 2 km × 2 km where the wireless coverage is guaranteed using 35 MBSs, each one connected to its own AE. A layer of SCs, i.e., N for each AE, is used to provide extra capacity where/when needed, as shown in Fig.…”

Section: Description Of the Scenariomentioning

confidence: 99%

Demonstration of Dynamic Resource Sharing Benefits in an Optical C-RAN

Raza

Fiorani

Rostami

et al. 2016

J. Opt. Commun. Netw.

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This is the published version of a paper published in .Citation for the original published paper (version of record):Raza, M R., Fiorani, M., Monti, P., Wosinska, L. Abstract-The next generation of mobile communication (i.e., 5G) will bring new challenges for the transport infrastructure, e.g., in terms of flexibility and capacity. The joint orchestration of radio and transport resources can help to address some of these challenges. One example is the possibility of reconfiguring the use of the transport network resources according to the spatial and temporal variations of the wireless traffic patterns. Using the concept of dynamic resource sharing, a limited pool of transport resources can be shared among a large number of radio base stations (RBSs), thus reducing considerably the overall deployment cost of the transport infrastructure. This paper proposes a provisioning strategy for a centralized radio access network with an optical transport whose wavelength resources can be dynamically shared among multiple RBSs. The proposed strategy utilizes a hierarchical software-defined networking control plane where a global orchestrator optimizes the usage of radio and transport resources. The benefits of the proposed strategy are assessed both by simulation and by experiment via an optical data plane emulator developed for this purpose. It is shown that the dynamic resource sharing can save up to 31.4% of transport resources compared to a conventional dimensioning approach, i.e., based on the overprovisioning of wavelength resources.

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Energy Performance of 5G-NX Wireless Access Utilizing Massive Beamforming and an Ultra-Lean System Design

Cited by 22 publications

References 8 publications

Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

5G in rural and low-income areas: Are we ready?

Demonstration of Dynamic Resource Sharing Benefits in an Optical C-RAN

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