Efficient Uplink Modeling for Dynamic System-Level Simulations of Cellular and Mobile Networks

Viering, Ingo; Lobinger, Andreas; Stefański, Szymon

doi:10.1155/2010/282465

Cited by 22 publications

(9 citation statements)

References 5 publications

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“…The proposed abstract LTE-A RRM model is implemented in the system level simulator presented in [7] [8]. Hence, the simulation tool has been extended accordingly such as to support downlink CA simulations.…”

Section: Simulation Assumptionsmentioning

confidence: 99%

Abstract Radio Resource Management Framework for System Level Simulations in LTE-A Systems

Fotiadis

Viering

Zanier

et al. 2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

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Abstract-This paper provides a simple mathematical model of different packet scheduling policies in Long Term EvolutionAdvanced (LTE-A) systems, by investigating the performance of Proportional Fair (PF) and the generalized cross-Component Carrier scheduler from a theoretical perspective. For that purpose, an abstract Radio Resource Management (RRM) framework has been developed and tested for different ratios of users with Carrier Aggregation (CA) capabilities. The conducted system level simulations confirm that the proposed model can satisfactorily capture the main properties of the aforementioned scheduling metrics without any need for explicit design at a subframe resolution; hence, making it a promising candidate for a convenient scheduler implementation in simulators with simplified RRM modelling.

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Section: Simulation Assumptionsmentioning

confidence: 99%

Abstract Radio Resource Management Framework for System Level Simulations in LTE-A Systems

Fotiadis

Viering

Zanier

et al. 2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

Self Cite

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“…This functionality is called adaptive transmission bandwidth [24]. Moreover, in [25], it is shown that adaptive transmission bandwidth is particularly advantageous for suburban scenarios having large ISDs.…”

Section: Constraints On Resource Allocationmentioning

confidence: 99%

Automated uplink power control optimization in LTE-Advanced relay networks

Bulakçı

Awada

Saleh

et al. 2013

J Wireless Com Network

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Relaying is standardized in 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE)-Advanced Release 10 as a promising cost-efficient enhancement to existing radio access networks. Relay deployments promise to alleviate the limitations of conventional macrocell-only networks such as poor indoor penetration and coverage holes. However, to fully exploit the benefits of relaying, power control (PC) in the uplink should be readdressed. In this context, PC optimization should jointly be performed on all links, i.e., on the donor-evolved Node B (DeNB)-relay node (RN), the DeNB-user equipment (UE) link, and the RN-UE link. This ensures proper management of interference in the network besides attaining a receiver dynamic range which ensures the orthogonality of the single-carrier frequency-division multiple access (SC-FDMA) system. In this article, we propose an automated PC optimization scheme which jointly tunes PC parameters in relay deployments. The automated PC optimization can be based on either Taguchi's method or a meta-heuristic optimization technique such as simulated annealing. To attain a more homogeneous user experience, the automated PC optimization scheme applies novel performance metrics which can be adapted according to the operator's requirements. Moreover, the performance of the proposed scheme is compared with a reference study that assumes a scenario-specific manual learn-by-experience optimization. The evaluation of the optimization methods within the LTE-Advanced uplink framework is carried out in 3GPP-defined urban and suburban propagation scenarios by applying the standardized LTE Release 8 PC scheme. Comprehensive results show that the proposed automated PC optimization can provide similar performance compared to the reference manual optimization without requiring direct human intervention during the optimization process. Furthermore, various trade-offs can easily be achieved; thanks to the new performance metrics.

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“…The unallocated resources can then be better utilised by other UEs resulting in more efficient bandwidth usage. This functionality is called adaptive transmission bandwidth (ATB) . It is worth mentioning that in contrast to where floor operator is used, we have adopted round operator.…”

Section: Background and Definitionsmentioning

confidence: 99%

Resource sharing in LTE‐Advanced relay networks: uplink system performance analysis

Bulakçı

Saleh

Redana

et al. 2012

Trans. Emerging Tel. Tech.

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Relay-enhanced networks are expected to fulfil the demanding coverage and capacity requirements in a cost-efficient way. Type 1 inband relaying has been standardised as an integral part of the Third Generation Partnership Project (3GPP) Long-Term Evolution Release 10 and beyond (LTE-Advanced). This type of relay nodes (RNs) supports a relaying mode where the RN to donor evolved node B (donor eNB, DeNB) link (relay link, a.k.a. backhaul link) transmission is time-division multiplexed with the RN-served user equipments (RUEs) to RN link (access link) transmission, whereas macrocell-served user equipments (MUEs) share the same resources with the RNs at DeNB. Hence, system performance depends strongly on the resource sharing strategy among and within the links. Further, the set of subframes assigned for the relay link transmission is semi-statically configured and thus a dynamic reconfiguration to adapt to fast-changing system conditions (e.g. RN cell load) is not viable. Besides, in order to fully exploit the benefits of relaying, the inter-cell interference, which is increased because of the presence of RNs, should be limited via a proper power control (PC) scheme on each link. Therefore, an optimisation of both the resource sharing and PC strategy is required to enhance the overall performance of relay networks. In order to tackle these issues, we employ a statistic-based over-provisioned backhaul subframe allocation to be utilised for flexible co-scheduling of RNs and MUEs at the DeNB. In addition, we propose a combination of RN scheduling based on the number of RUEs and user throughput throttling achieving max-min fairness. Performance analysis of various resource sharing techniques along with PC optimisation is then carried out within the LTE-Advanced uplink framework in urban and suburban scenarios. Comprehensive results show that the proposed schemes achieve significant throughput gains and high system fairness with substantially increased flexibility in resource allocation.

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Efficient Uplink Modeling for Dynamic System-Level Simulations of Cellular and Mobile Networks

Cited by 22 publications

References 5 publications

Abstract Radio Resource Management Framework for System Level Simulations in LTE-A Systems

Abstract Radio Resource Management Framework for System Level Simulations in LTE-A Systems

Automated uplink power control optimization in LTE-Advanced relay networks

Resource sharing in LTE‐Advanced relay networks: uplink system performance analysis

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