Title :
Reliable indoor geometric OFDM quality-of-service analysis using sparse channel estimation
Author :
Wu, Hsiao-Chun ; Chen, Ji
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fDate :
29 Nov.-3 Dec. 2004
Abstract :
A novel method for indoor orthogonal frequency division multiplexing (OFDM) quality of service (QoS) analysis using the robust sparse channel estimator is proposed in this paper. Through the procedures of radiofrequency 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 access locations indoors.
Keywords :
OFDM modulation; channel estimation; error statistics; indoor radio; quality of service; radiofrequency interference; radiowave propagation; BER; SINR; bit error rates; computer simulation tool; geometry-dependent QoS measure contours; indoor OFDM; interference analysis; optimal access locations; orthogonal frequency division multiplexing; quality-of-service analysis; radiofrequency propagation modeling; signal-to-interference-and-noise ratio; sparse channel estimation; system performance; Bit error rate; Channel estimation; Frequency estimation; Interference; OFDM; Quality of service; Radio frequency; Robustness; Signal analysis; Signal to noise ratio;
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
DOI :
10.1109/GLOCOM.2004.1379121
