Abstract
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.
Highlights
Microcells along with macrocells have come a long way in mobile telecommunication industry to increase the capacity of the traditional cellular networks and enlarge the coverage area of ultra-densed networks to support the distant area with low signal strength and high-mobility users [1,2,3,4]
We consider both the scenarios when all available microcells are deployed and when the optimal number of microcells are located using our proposed based cell positioning (BSCP) algorithms
It should be reiterated that the exhaustive-search based cell positioning (ESCP) requires a higher complexity compared to the proposed BSCP algorithm) with different antenna types, including single-input single-output (SISO), 2 ⇥ 1 multiple-input single-output (MISO) and 2 ⇥ 2 multiple-input multiple-output (MIMO) employing space-time coding
Summary
Microcells along with macrocells have come a long way in mobile telecommunication industry to increase the capacity of the traditional cellular networks and enlarge the coverage area of ultra-densed networks to support the distant area with low signal strength and high-mobility users [1,2,3,4]. The mixture of cells of different sizes forms a generalised network model of multiple overlaying layers or tiers, namely heterogeneous wireless cellular networks [2,5,6,7,8,9,10,11,12], which have been shown to provide higher data rate and enhanced coverage for indoor and outdoor mobile users. Along with a number of advantages achieved with cell division approaches, the deployment of microcells raises a critical issue in cellular networks when the overlapping frequencies of different cells in the same area cause considerable interferences [13,14]. Power control mechanism has been investigated with various power allocation and scheduling approaches to minimise the transmitted power at cells for mitigating interferences in cellular networks while still guaranteeing sufficiently received signal power at the mobile users [15,16,17,18,19]
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