방법 비교

	레이 트레이싱 전파 모델	직교 주파수 분할 다중화 (OFDM)	제로 포싱 및 최소 평균 제곱 오차 등화
분야	통신공학	통신공학	통신공학
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	1993	1971	1974
창시자	Maciel, Bertoni, and Xia	Weinstein and Ebert	Saleh Mansour and Paul Zervos
유형	deterministic propagation algorithm	multicarrier modulation scheme	linear equalization algorithm
원전	Maciel, T. F., Bertoni, H. L., & Xia, H. H. (1993). Unified approach to prediction of propagation over buildings for all ranges of frequencies. IEEE Transactions on Vehicular Technology, 42(1), 41-45.	Weinstein, S. B., & Ebert, P. M. (1971). Data transmission by frequency-division multiplexing using the discrete Fourier transform. IEEE Transactions on Communication Technology, 19(5), 628-634.	Proakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill.
별칭	deterministic propagation, site-specific modeling	multicarrier modulation	channel equalization, interference cancellation
관련	4	5	5
요약	Ray tracing is a deterministic propagation modeling technique for predicting electromagnetic field strength at specific locations. Instead of empirical formulas (like Okumura-Hata), ray tracing traces paths of electromagnetic energy as it reflects, diffracts, and scatters off buildings and terrain. With accurate 3D geometry and material properties, ray tracing predicts site-specific path loss, multipath delay profiles, and angle of arrival, making it ideal for detailed coverage planning, interference analysis, and system design. Ray tracing is now standard in professional cellular planning tools.	OFDM is a multicarrier modulation technique that divides a wideband channel into many narrowband orthogonal subcarriers. Introduced by Weinstein and Ebert in 1971, it exploits the duality between time and frequency domains to efficiently use spectrum while mitigating intersymbol interference in frequency-selective channels. OFDM is now the standard for high-speed wireless systems including WiFi, cellular LTE, and digital broadcasting.	Zero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization are fundamental linear receiver algorithms for combating intersymbol interference in dispersive channels. Developed in the context of data transmission theory, these methods form the basis of modern channel equalization in wireless and wired systems. While ZF aggressively cancels interference, MMSE balances interference suppression with noise enhancement, making it the optimal linear solution under Gaussian noise.