On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints

Wireless indoor and outdoor microcells (WIOMs) have emerged as a promising means to deal with a high demand of mobile users for a variety of services. Over such heterogeneous networks, the deployment of WIOMs costs mobile/telecommunications company high capital expenditures and operating expenses. T...

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Main Authors: Adeola Abraham Omorinoye, Quoc-Tuan Vien
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/7/9/948
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spelling doaj-c642e9533b1d4cd28943b3f97c12226f2020-11-25T00:47:14ZengMDPI AGApplied Sciences2076-34172017-09-017994810.3390/app7090948app7090948On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS ConstraintsAdeola Abraham Omorinoye0Quoc-Tuan Vien1School of Science and Technology, Middlesex University, The Burroughs, London NW4 4BT, UKSchool of Science and Technology, Middlesex University, The Burroughs, London NW4 4BT, UKWireless indoor and outdoor microcells (WIOMs) have emerged as a promising means to deal with a high demand of mobile users for a variety of services. Over such heterogeneous networks, the deployment of WIOMs costs mobile/telecommunications company high capital expenditures and operating expenses. This paper aims at optimising the WIOMs taking into account various network communication environments. We first develop an optimisation problem to minimise the number of cells as well as determining their optimal locations subject to the constraints of the coverage and quality-of-service (QoS) requirements. In particular, we propose a binary-search based cell positioning (BSCP) algorithm to find the optimal number of cells given a preset candidate antenna positions. The proposed BSCP algorithm is shown to not only reduce the number of cells for saving resources but also requires a low computational complexity compared to the conventional approaches with exhaustive search over all available sites. Moreover, EDX SignalPro is exploited as a simulation platform to verify the effectiveness of the proposed BSCP for the WIOMs with respect to various propagation modes and antenna parameters of different types, including isotropic, multiple-input single-output and multiple-input multiple-output.https://www.mdpi.com/2076-3417/7/9/948wireless indoor microcellsoutdoor microcellsMIMOnetwork planningEDX SignalPro
collection DOAJ
language English
format Article
sources DOAJ
author Adeola Abraham Omorinoye
Quoc-Tuan Vien
spellingShingle Adeola Abraham Omorinoye
Quoc-Tuan Vien
On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints
Applied Sciences
wireless indoor microcells
outdoor microcells
MIMO
network planning
EDX SignalPro
author_facet Adeola Abraham Omorinoye
Quoc-Tuan Vien
author_sort Adeola Abraham Omorinoye
title On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints
title_short On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints
title_full On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints
title_fullStr On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints
title_full_unstemmed On the Optimisation of Practical Wireless Indoor and Outdoor Microcells Subject to QoS Constraints
title_sort on the optimisation of practical wireless indoor and outdoor microcells subject to qos constraints
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2017-09-01
description Wireless indoor and outdoor microcells (WIOMs) have emerged as a promising means to deal with a high demand of mobile users for a variety of services. Over such heterogeneous networks, the deployment of WIOMs costs mobile/telecommunications company high capital expenditures and operating expenses. This paper aims at optimising the WIOMs taking into account various network communication environments. We first develop an optimisation problem to minimise the number of cells as well as determining their optimal locations subject to the constraints of the coverage and quality-of-service (QoS) requirements. In particular, we propose a binary-search based cell positioning (BSCP) algorithm to find the optimal number of cells given a preset candidate antenna positions. The proposed BSCP algorithm is shown to not only reduce the number of cells for saving resources but also requires a low computational complexity compared to the conventional approaches with exhaustive search over all available sites. Moreover, EDX SignalPro is exploited as a simulation platform to verify the effectiveness of the proposed BSCP for the WIOMs with respect to various propagation modes and antenna parameters of different types, including isotropic, multiple-input single-output and multiple-input multiple-output.
topic wireless indoor microcells
outdoor microcells
MIMO
network planning
EDX SignalPro
url https://www.mdpi.com/2076-3417/7/9/948
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