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Reliable indoor geometric OFDM quality-of-service analysis using sparse channel estimation

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2 Author(s)
Hsiao-Chun Wu ; Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA ; Chen, J

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.

Published in:

Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE  (Volume:6 )

Date of Conference:

29 Nov.-3 Dec. 2004