Kapseok Chang

TL;DR: An overview of the vision of how machine learning will impact the wireless communication systems and the ML methods that have the highest potential to be used in wireless networks are provided.

TL;DR: In this paper, a method for searching a cell in a mobile station of a communication system in which a plurality of cells are grouped into a pluralityof cell groups, and each cell group includes at least two cells.

TL;DR: In this article, the authors proposed a cell search method to search a target cell using reception signals received from a plurality of base stations, each base station transmitting a frame of its cell, in an Orthogonal Frequency Division Multiplexing (OFDM) cellular system comprising a plurality cells to which a cell-specific scrambling code is assigned.

TL;DR: In this article, a cell search method in an OFDM cellular system in which a primary sync channel and a secondary sync channel are configured based on time division multiplexing (TDM) is presented.

TL;DR: In this article, a transmission method performed by a mobile station for random access channel (RACH) burst transmission diversity gain is provided, where a variety of combinations of a time switching transmit diversity (TSTD) technique, a frequency hopping technique, and a power ramping technique that are robust against fading channel environments are applied to transmission of an RACH burst, thereby increasing the probability of detecting the RACH signature of a base station.