Optimising coverage efficiency in heterogeneous wireless cellular networks

Phan, Ca V. and Vien, Quoc-Tuan ORCID logoORCID: https://orcid.org/0000-0001-5490-904X (2020) Optimising coverage efficiency in heterogeneous wireless cellular networks. IET Communications, 14 (17) . pp. 3022-3029. ISSN 1751-8628 [Article] (doi:10.1049/iet-com.2020.0313)

This is the latest version of this item.

PDF - Final accepted version (with author's formatting)
Download (823kB) | Preview


In this paper, we first propose an analytical model for investigating the impacts of power allocation (PA) and cell density allocation (CDA) on coverage efficiency (CE) of heterogeneous wireless cellular networks (HWCNs) under limited resources in various propagation environment. It is shown that the interference among cells that belong to different tiers is reduced significantly in a higher path loss environment and results in a higher coverage. In addition, the overall network coverage of the HWCN can be further extended with the deployment of a higher cell density in a more lossy environment. This accordingly leads us to develop an optimization problem (OP) to maximize the CE by optimizing the PA and CDA for a downlink HWCN under the constraint of limited power at cells and total power available in the network. In particular, we propose a two-stage approach for solving the OP to sequentially obtain the heuristic value of the CDA and PA due to complicated objective function along with various involved parameters in the practical HWCN. Numerical results reveal that the coverage obtained by the heuristic solution at the first-stage is significantly improved with a lower power than the conventional approach. Furthermore, an enhanced overall CE is achieved for all cases of the power constraint when applying fully two stages in our proposed algorithm.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 31157
Notes on copyright: This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library https://digital-library.theiet.org/content/journals/10.1049/iet-com.2020.0313
Useful Links:
Depositing User: Quoc-Tuan Vien
Date Deposited: 29 Oct 2020 16:23
Last Modified: 29 Nov 2022 18:12
URI: https://eprints.mdx.ac.uk/id/eprint/31157

Available Versions of this Item

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.