Abstract
The use of a millimeter-wave band defined as a 30–300 GHz range is significant element for improving performance of 5th generation (5G) mobile communication systems. However, since the millimeter-wave signal has peculiar propagation characteristics especially toward non-line-of-sight regions, the system architecture and antenna structure for 5G mobile communications should be designed to overcome these propagation limitations. For realization of the 5G mobile communications, electronics and telecommunications research institute (ETRI) is developing central network applying various massive antenna structures with beamforming. In this paper, we have introduced the central network and evaluated the system coverage and capacity through C++ language-based simulations with real geospatial information.
Highlights
As use of various multimedia services with smart devices has become more common, data traffic has rapidly increased in mobile communication networks [1]
When Type E-2 achieving the best performance is considered in the central network, poor signal-to-interference plus noise ratio (SINR) level on the system coverage can be overcome by deploying the additional relay base stations (RBSs)
The millimeter-wave band in the 30–300 GHz range is a primary candidate for a new radio band that can significantly improve the capacity of the central network for 5th generation (5G) mobile communications
Summary
As use of various multimedia services with smart devices has become more common, data traffic has rapidly increased in mobile communication networks [1]. To accommodate the data traffic, current fourth generation (4G) mobile communication systems including long term evolution-advanced (LTE-A) and worldwide interoperability for microwave access networks (WiMAX) consider various advanced technologies such as multiple input and multiple output (MIMO), multicarrier transmission, and carrier aggregation [3, 4]. In spite of these technologies, frequency bands below 3 GHz used in the current mobile communication systems are expected to be crowded due to the increasing demand in mobile data traffic.
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