Optimal symbol timing for OFDM wireless communications

Orthogonal frequency division multiplexing (OFDM) has become a promising physical layer modulation technology for beyond 3G or 4G wireless communications due to effective inter-symbol interference mitigation for high speed data transmission. However, the timing of the OFDM symbol, i.e., the placement of the DFT collection window in a multi-path time dispersive channel remains an important and challenging issue in OFDM receiver design. An erroneous timing decision creates inter-symbol interference (ISI), inter-carrier interference (ICI), channel attenuation, and channel estimation error, which leads to a penalty on the collected OFDM symbol signal to noise ratio (SNR) resulting in an irreducible error floor. In this paper we quantify such effects and derive an optimal OFDM symbol timing solution in the sense of maximizing the signal to interference ratio (SIR) of the collected OFDM symbol. A practical timing algorithm, referred to as the equilibrium algorithm, is then developed to approximate the optimal timing decision. Compared with existing schemes in the literature, the proposed approach does not rely on explicit detection of individual channel paths or the delay spread boundary and therefore greatly reduces timing complexity. The equilibrium algorithm performs nearly as well as the optimal solution over a variety of channel delay spreads, is simple to implement, and is robust to channel estimation errors.

[1]  Burton R. Saltzberg,et al.  Multi-Carrier Digital Communications: Theory and Applications of Ofdm , 1999 .

[2]  H. Bölcskei,et al.  MIMO-OFDM wireless systems: basics, perspectives, and challenges , 2006, IEEE Wireless Communications.

[3]  Michael Mao Wang,et al.  Multi-Antenna Techniques for Evolved 3G Wireless Communication Networks: An Overview , 2009, J. Commun..

[4]  Cyril Leung,et al.  OFDM/FM frame synchronization for mobile radio data communication , 1993 .

[5]  Radhakrishna Canchi,et al.  IEEE 802.20: Mobile Broadband Wireless Access for the Twenty-First Century , 2008, IEEE Communications Magazine.

[6]  Khaled Ben Letaief,et al.  A robust timing and frequency synchronization for OFDM systems , 2003, IEEE Trans. Wirel. Commun..

[7]  Per Ola Börjesson,et al.  ML estimation of timing and frequency offset in multicarrier systems , 1996 .

[8]  Philippe J. Tourtier,et al.  Multicarrier modem for digital HDTV terrestrial broadcasting , 1993, Signal Process. Image Commun..

[9]  Dawei Huang,et al.  Adaptive OFDM synchronization algorithms based on discrete stochastic approximation , 2005, IEEE Transactions on Signal Processing.

[10]  Daesik Hong,et al.  A novel timing estimation method for OFDM systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[11]  Erik G. Larsson,et al.  Joint symbol timing and channel estimation for OFDM based WLANs , 2001, IEEE Communications Letters.

[12]  Heinrich Meyr,et al.  Frame synchronization of OFDM systems in frequency selective fading channels , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[13]  Min Dong,et al.  Channelization in Ultra Mobile Broadband Communication Systems: The Forward Link , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[14]  Michael Mao Wang,et al.  Preamble Design and System Acquisition in Ultra Mobile Broadband Communication Systems , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[15]  Kyoung Il Kim Handbook of CDMA System Design, Engineering, and Optimization , 1999 .

[16]  Leonard E. Miller,et al.  NASA systems engineering handbook , 1995 .

[17]  Donald C. Cox,et al.  Robust frequency and timing synchronization for OFDM , 1997, IEEE Trans. Commun..

[18]  Min Dong,et al.  Channelization in Ultra Mobile Broadband Communication Systems: The Reverse Link , 2008, 2008 International Wireless Communications and Mobile Computing Conference.