Title :
A Novel Channel Estimation Scheme on Amplify-and-Forward Cooperative OFDM-Based Wireless LAN Systems
Author :
Fukuzono, Hayato ; Asai, Yusuke ; Kudo, Riichi ; Mizoguchi, Masato
Author_Institution :
NTT Network Innovation Labs., NTT Corp., Yokosuka, Japan
Abstract :
In this paper, we propose a channel estimation scheme on amplify-and-forward (AF) cooperative orthogonal frequency division multiplexing (OFDM)-based wireless local area network (LAN) systems with one relay. The proposed scheme exploits an Hadamard matrix-based training structure and a maximum ratio combining (MRC)-based estimator for received training signals in two subslots of relaying transmission. The scheme improves estimation accuracy in spite of almost no increase of complexity. We analyze normalized mean square errors (NMSEs) of the scheme and derive its analytical expressions for Rayleigh fading channels. We simulate the NMSE and packet error rate (PER) performance of the conventional and proposed schemes in typical relay location scenarios. The simulation results show that the proposed scheme has better performance than the conventional one in each of the scenarios.
Keywords :
Hadamard matrices; OFDM modulation; Rayleigh channels; amplify and forward communication; channel estimation; mean square error methods; relay networks (telecommunication); wireless LAN; Hadamard matrix-based training structure; MRC; NMSE; PER; Rayleigh fading channels; amplify-and-forward cooperative OFDM-based wireless LAN systems; estimation accuracy improvement; maximum ratio combining-based estimator; normalized mean square errors; novel channel estimation scheme; orthogonal frequency division multiplexing; packet error rate performance; received training signals; relay location scenarios; relaying transmission subslots; wireless local area network; Channel estimation; Fading; Noise; OFDM; Relays; Training; Wireless LAN;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th
Conference_Location :
Dresden
DOI :
10.1109/VTCSpring.2013.6691833