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


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.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences > Adaptive communications networks research group
College of Engineering & Physical Sciences
Additional Information: © 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.
Uncontrolled Keywords: 5G,LTE,cellular networks,higher order sectorization,performance modelling,uplink communications,Automotive Engineering,Aerospace Engineering,Electrical and Electronic Engineering,Applied Mathematics
Publication ISSN: 1939-9359
Full Text Link:
Related URLs: https://ieeexpl ... cument/8827948/ (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-12
Published Online Date: 2019-09-10
Accepted Date: 2019-09-10
Authors: He, Jianhua (ORCID Profile 0000-0002-5738-8507)
Guan, Wenyang
Guo, Weisi
Liu, Wei
Cheng, Wenqing



Version: Accepted Version

| Preview

Export / Share Citation


Additional statistics for this record