차세대 통신 시스템을 위한 자원할당기법

Abstract

In this paper, we propose a resource allocation method for the next-generation communication system. First, we propose a transmission waveform optimization and multi-node detection technique using AutoEncoder in a multi-node environment. Unlike conventional human body communication methods using RF signals, devices for signal modulation are not required using the human body as a medium, which has the advantage of low power, low cost, and is more secure. In addition, rather than the existing point-to-point method, we propose a transmission signal design to reduce interference between transmission signals in a multi-node environment and a method using AutoEncoder to detect in the received signal. Third, we propose subcarrier allocation methods for compressive sensing based MIMO OFDM RadCom(Radar and Communication) system and analyze the performance to show what kinds of allocation method is the best for the system. The RadCom is a system which joint information transmission and Radar function. The proposed allocation method can show the best performance of Achievable rate and target estimation to automotive IoT service.