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Designing Passive Indoor Distributed Antenna System with Practical Constraints Using Binary Encoding

2nd of December, 2019


Abstract

With the continuous increase in data traffic in buildings, there is an increasing demand for good cellular network coverage in indoor environments. Passive In-Building Distributed Antenna System (IB-DAS) has been widely used as a dedicated indoor solution for the required coverage. In IB-DAS, spatially separated antennas are connected to a base station through coaxial cables and splitters. Due to the consideration of many factors such as types of splitters and the solution structure of IB-DAS, many different approaches to produce optimal or near optimal design have been reported in the literature. However, some of them encounter the scalability issue, while others require a dedicated representation of the problem with highly customized operations. In this paper, a general binary tree representation based on Genetic Algorithm (GA) for designing IB-DAS has been devised. The experimental results illustrate that this representation enhances the computational performance and yields lower costs for buildings with higher floors. In addition, it produces neater cabling solutions due to the intrinsic grouping mechanism, which is highly required in practical scenarios.

Full paper is available to download here

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