Analytical Evaluation of Cellular Network Uplink Communications with Higher Order Sectorization Deployments

Jianhua He, Wenyang Guan, Weisi Guo, Wei Liu, Wenqing Cheng

Research output: Contribution to journalArticle

Abstract

Higher Order Sectorization (HOS), which splits macro base stations into a larger number of sectors, is widely considered in the cellular community as a cost-effective means of improving network capacity. We develop two general and low-complexity analytical models to characterize and relate the uplink performance indicators with key dynamic functionalities and variables, such as fractional power control (FPC), directional antenna radiation patterns and the multi-cell inter-cell interference (ICI). The adopted methodology approximates the uplink ICIs from individual cell sectors by log-normal random variables, of which the statistical parameters can be estimated using approaches that trade-off complexity and accuracy. Furthermore, the aggregate uplink ICI is approximated with a log-normal random variable, from which network performance metrics are computed. Compared to two existing baseline analytical methods the proposed analytical models have improved accuracy. The analytical models are applied to evaluate HOS deployments with both regular and irregular cell geometries. Results on sectorization scaling show it is an effective method in capacity scaling, but at the cost of increased outage probability. The proposed theoretical models can be used as a fast and effective tool for performance assessment and optimization of Long-Term Evolution (LTE) and 5G networks.
Original languageEnglish
JournalIEEE Transactions on Vehicular Technology
Early online date10 Sep 2019
DOIs
Publication statusE-pub ahead of print - 10 Sep 2019

Fingerprint

Uplink
Cellular Networks
Telecommunication networks
Analytical models
Higher Order
Random variables
Analytical Model
Cell
Evaluation
Long Term Evolution (LTE)
Directional patterns (antenna)
Network performance
Sector
Outages
Power control
Base stations
Random variable
Interference
Macros
Scaling

Bibliographical note

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

This project has received funding from the European Union
Horizon 2020 research and innovation programme under the
Marie Skodowska-Curie grant agreement No 824019 and the
FP7 grant DETERMINE under the FP7-PEOPLE-2012-IRSES
grant agreement No 318906.

Cite this

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abstract = "Higher Order Sectorization (HOS), which splits macro base stations into a larger number of sectors, is widely considered in the cellular community as a cost-effective means of improving network capacity. We develop two general and low-complexity analytical models to characterize and relate the uplink performance indicators with key dynamic functionalities and variables, such as fractional power control (FPC), directional antenna radiation patterns and the multi-cell inter-cell interference (ICI). The adopted methodology approximates the uplink ICIs from individual cell sectors by log-normal random variables, of which the statistical parameters can be estimated using approaches that trade-off complexity and accuracy. Furthermore, the aggregate uplink ICI is approximated with a log-normal random variable, from which network performance metrics are computed. Compared to two existing baseline analytical methods the proposed analytical models have improved accuracy. The analytical models are applied to evaluate HOS deployments with both regular and irregular cell geometries. Results on sectorization scaling show it is an effective method in capacity scaling, but at the cost of increased outage probability. The proposed theoretical models can be used as a fast and effective tool for performance assessment and optimization of Long-Term Evolution (LTE) and 5G networks.",
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Analytical Evaluation of Cellular Network Uplink Communications with Higher Order Sectorization Deployments. / He, Jianhua; Guan, Wenyang; Guo, Weisi; Liu, Wei; Cheng, Wenqing.

In: IEEE Transactions on Vehicular Technology, 10.09.2019.

Research output: Contribution to journalArticle

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