Reliable indoor geometric OFDM quality-of-service analysis using sparse channel estimation
Document Type
Conference Proceeding
Publication Date
12-1-2004
Abstract
A novel method for the indoor Orthogonal Frequency Division Multiplexing (OFDM) Quality of Service (QoS) analyses using the robust sparse channel estimator is proposed in this paper. Through the procedures of radio frequency propagation modeling, sparse channel estimation and interference analysis, OFDM quality-of-service measures, such as signal-to-interference-and-noise ratios (SINR) and bit error rates (BER) can be generated using this computer simulation tool. The geometry-dependent QoS measure contours from the simulations can be used by service providers and OFDM communication system designers to quantify the system performance and determine the optimal accessing locations indoors. © 2004 IEEE.
Publication Source (Journal or Book title)
GLOBECOM - IEEE Global Telecommunications Conference
First Page
4016
Last Page
4020
Recommended Citation
Wu, H., & Chen, J. (2004). Reliable indoor geometric OFDM quality-of-service analysis using sparse channel estimation. GLOBECOM - IEEE Global Telecommunications Conference, 6, 4016-4020. Retrieved from https://repository.lsu.edu/eecs_pubs/2221