User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility Model

Ge, Xiaohu; Ye, Junliang; Yang, Yang; Li, Qiang

doi:10.1109/jsac.2016.2525439

Cited by 208 publications

(138 citation statements)

References 41 publications

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“…However, [10] and [11] focus only on the HO rate and do not investigate the effect of HO on the throughput. Stochastic geometry models that incorporate handover effect into throughput analysis can be found in [12]- [14]. However, none of [12]- [14] propose a solution to the excessive HO rate problem.…”

Section: Introductionmentioning

confidence: 99%

“…Stochastic geometry models that incorporate handover effect into throughput analysis can be found in [12]- [14]. However, none of [12]- [14] propose a solution to the excessive HO rate problem. The authors in [15], propose control plane and user plane split architecture with macro BS anchoring to mitigate the handover effect in dense cellular environment and quantified the performance gain via stochastic geometry.…”

Section: Introductionmentioning

confidence: 99%

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Velocity-Aware Handover Management in Two-Tier Cellular Networks

Arshad

ElSawy

Sorour

et al. 2017

IEEE Trans. Wireless Commun.

104

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While network densification is considered an important solution to cater the ever-increasing capacity demand, its effect on the handover (HO) rate is overlooked. In dense 5G networks, HO delays may neutralize or even negate the gains offered by network densification. Hence, user mobility imposes a nontrivial challenge to harvest capacity gains via network densification. In this paper, we propose a velocity-aware HO management scheme for two-tier downlink cellular network to mitigate the HO effect on the foreseen densification throughput gains. The proposed HO scheme sacrifices the best BS connectivity, by skipping HO to some BSs along the user's trajectory, to maintain longer connection durations and reduce HO rates. Furthermore, the proposed scheme enables cooperative BS service and strongest interference cancellation to compensate for skipping the best connectivity. To this end, we consider different HO skipping scenarios and develop a velocity-aware mathematical model, via stochastic geometry, to quantify the performance of the proposed HO scheme in terms of the coverage probability and user throughput. The results highlight the HO rate problem in dense cellular environments and show the importance of the proposed HO schemes. Finally, the value of BS cooperation along with handover skipping is quantified for different user mobility profiles.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Velocity-Aware Handover Management in Two-Tier Cellular Networks

Arshad

ElSawy

Sorour

et al. 2017

IEEE Trans. Wireless Commun.

104

View full text Add to dashboard Cite

show abstract

“…Several contributions further extended this PPP model to multi-tier cellular networks [25]- [27], where the concept of cell association or cell load amongst tiers becomes important. Recently, the authors of [28] focused their attention on the user mobility with human tendency and on the clustering behaviors in 5G small-cell networks. Based on these works, several energy efficient network deployment strategies were proposed in [29]- [32], where the authors aimed either for minimizing the area-power-consumption (APC) of the entire network or for maximizing the network's EE performance by choosing a suitable BS density unilaterally under usercentric performance constraints.…”

Section: B Related Workmentioning

confidence: 99%

“…Completing the integration (76) leads to (28). During his 38-year career in telecommunications he has held various research and academic posts in Hungary, Germany and the UK.…”

Section: F Proof Of Propositionmentioning

confidence: 99%

Energy-Spectral-Efficiency Analysis and Optimization of Heterogeneous Cellular Networks: A Large-Scale User-Behavior Perspective

Zhao

Chen

Zhao

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-Heterogeneous cellular networks (HCNs) are capable of meeting the explosive mobile-traffic demands. However, the conventional base station (BS) deployment strategy is unsuitable for supporting the often unpredictable non-uniform mobiletraffic demands, as governed by the large-scale user behavior (LUB). This results in the inefficient exploitation of the system's resources. In this paper, we develop an analytical framework for characterizing the achievable energy-spectral-efficiency (ESE) of HCNs, which explicitly quantifies the relationship between the network's ESE and the randomly time-varying LUBs as well as other network deployment parameters. Specifically, we model the quantitative impact of the geographical mobiletraffic intensity, the load migration factor, the users' required service rate and the per-tier BS densities on the achievable ESE of network, while considering the area-spectral-efficiency requirements. Importantly, a closed-form ESE expression is derived, which enables us to explicitly analyze the properties of the network's ESE. Furthermore, the optimal LUB-aware BS deployment strategy is proposed for maximizing the ESE under specific outage constraints. Using numerical simulations, we verify the accuracy of the analytical ESE expression and quantify the impact of several relevant system parameters on the achievable ESE. Furthermore, we evaluate the achievable ESE performance of the network under diverse time-varying LUB scenarios. Our work therefore provides valuable insights for designing future ultra-dense HCNs.

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“…υ Near Field Communications (NFC) υ Medium power, high data rate,100 meter range. υ Wireless LAN (WiFi) υ100 meter range [13].…”

Section: B Mobile Communication Technologymentioning

confidence: 99%