Wireless indoor network planning for advanced exposure and installation cost minimization

Ning Liu

Abstract:

The possibility of having information access anytime and anywhere has caused a huge increase of the popularity of
wireless networks. Requirements of users and owners have been ever-increasing. However, concerns about the
potential health impact of exposure to radio frequency (RF) sources have arisen and are getting accounted for in
wireless network planning. In addition to adequate coverage and reduced human exposure, the installation cost of
the wireless network is also an important criterion in the planning process. In this paper, a hybrid algorithm is used to
optimize indoor wireless network planning while satisfying three demands: maximum coverage, minimal full
installation cost (cabling, cable gutters, drilling holes, labor, etc.), and minimal human exposure. For the first time,
wireless indoor networks are being optimized based on these advanced and realistic conditions. The algorithm is
investigated for three scenarios and for different configurations. The impact of different exposure requirements and
cost scenarios is assessed.