Performance evaluation of intra-site coordination schemes in cellular networks

Khlass, Ahlem; Bonald, Thomas; Elayoubi, Salah Eddine

doi:10.1016/j.peva.2015.12.001

Cited by 7 publications

(10 citation statements)

References 24 publications

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“…We generalize the model presented in [4] for K = 2 coordinated cells to any K ≥ 2. The stationary distribution of the Markov process X(t) is:…”

Section: E Proportional Fairnessmentioning

confidence: 99%

“…It is worth noting that, for mobile users, the traffic conservation equation (3) no longer applies: the traffic arriving in region i of zone k is not equal in general to the traffic served in region i of zone k. Thus the mean throughput in region i of zone k is given by (2) but not by (4). Similarly, the mean throughput in zone k is given by…”

Section: A Mobility Model 1) Inter-zone Mobilitymentioning

confidence: 99%

“…It has recently been shown that they can also be detrimental for cell-edge users at high load, due to the inefficient utilization of radio resources [4]. Their efficiency in fact depends critically on the scheduling strategy.…”

Section: Introductionmentioning

confidence: 99%

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How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

Abbas

Bonald

Sayraç

2015

2015 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we assess the performance of intercell coordination in the presence of mobility. This performance depends primarily on the resource allocation scheme. Indeed, a scheduling strategy which may seem efficient when users are static can lead to bad performance when users are mobile. Several scheduling policies are investigated. Their performance critically depends on their ability to predict users' mobility. The results are based on the analysis of flow-level traffic models.

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“…We generalize the model presented in [4] for K = 2 coordinated cells to any K ≥ 2. The stationary distribution of the Markov process X(t) is:…”

Section: E Proportional Fairnessmentioning

confidence: 99%

Section: A Mobility Model 1) Inter-zone Mobilitymentioning

confidence: 99%

See 1 more Smart Citation

How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

Abbas

Bonald

Sayraç

2015

2015 IEEE Global Communications Conference (GLOBECOM)

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“…The system corresponds to a set of six coupled processorsharing queues with state-dependent service rates. The analytical performance in terms of flow throughput can be deduced from our previous work on multi-flow transmission for HSPA+ systems [12] . We obtain:…”

Section: Basic Joint Transmission Schemementioning

confidence: 99%

Analytical Modeling of Downlink CoMP in LTE-Advanced

Khlass

Bonald

Elayoubi

2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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International audienceIn this paper, we discuss several Coordinated Multi-Point (CoMP) schemes proposed for LTE-Advanced systems. We investigate their benefits in a multi-antenna beamforming system where multiple cells may share their resources and jointly coordinate their transmissions to improve the performance at cell edge and the overall system capacity. We evaluate the system performance by combining flow-level analysis with numerical results from LTE-Advanced network simulator. We show that the intra-site coordination brings significant gains in beamforming systems, especially with the joint transmission scheme where the user throughput and the system capacity are improved

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“…Recent works have extended Processor sharing models to adaptive streaming traffic [19] and to different scheduling schemes [1], or to take into account mobility of users [4]. These models have also been extended to the cell coordination schemes in HSPA networks [18].…”

Section: Introductionmentioning

confidence: 99%

Flow level performance evaluation in mobile networks: Analytical modeling and empirical validation

Elayoubi

Khadraoui

Baynat

et al. 2017

Computer Communications

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-Najjary. Flow level performance evaluation in mobile networks: Analytical modeling and empirical validation. Computer Communications, Elsevier, 2017, 108, pp.27-35. 10.1016/j.comcom.2017 ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T Abstract-The purpose of this paper is to identify, through empirical validation, the best analytical model for QoS and capacity estimation in mobile data networks. We first present two different sets of models that have been proposed in the literature: the infinite source, Erlang-like models and the finite source, Engset-like models. While the former models are widely developed and adapted to mobile networks, the latter are less used in the mobile context. We thus derive novel analytical models to complete the finite source theory before moving to the comparison of the different models. We make use of network measurements originating from an HSPA network and compare the modeled performance with the observed one, for each of the available analytical models. Our results show that a Processor Sharing analysis that takes as cell capacity the harmonic average of the achievable throughputs and as traffic inputs the volumes generated in each CQI, gives results that are close to the field measurements. As of the finite source models, we observed a good match on some cells and a mismatch on other cells. This is due to the difficulty of extracting traffic parameters from the field. However, finite source models have a better predictive power than infinite source models, as their traffic characteristics can more easily be linked to changes in the network such as the introduction of new services or new devices.

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Performance evaluation of intra-site coordination schemes in cellular networks

Cited by 7 publications

References 24 publications

How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

Analytical Modeling of Downlink CoMP in LTE-Advanced

Flow level performance evaluation in mobile networks: Analytical modeling and empirical validation

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