Wireless indoor and outdoor microcells (WIOMs) have emerged as a promising means to\ndeal with a high demand of mobile users for a variety of services. Over such heterogeneous networks,\nthe deployment of WIOMs costs mobile/telecommunications company high capital expenditures and\noperating expenses. This paper aims at optimising the WIOMs taking into account various network\ncommunication environments. We first develop an optimisation problem to minimise the number\nof cells as well as determining their optimal locations subject to the constraints of the coverage\nand quality-of-service (QoS) requirements. In particular, we propose a binary-search based cell\npositioning (BSCP) algorithm to find the optimal number of cells given a preset candidate antenna\npositions. The proposed BSCP algorithm is shown to not only reduce the number of cells for saving\nresources but also requires a low computational complexity compared to the conventional approaches\nwith exhaustive search over all available sites. Moreover, EDX SignalPro is exploited as a simulation\nplatform to verify the effectiveness of the proposed BSCP for the WIOMs with respect to various\npropagation modes and antenna parameters of different types, including isotropic, multiple-input\nsingle-output and multiple-input multiple-output.
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