Non-Coherent Cell Identification Detection Methods and Statistical Analysis for OFDM Systems

To achieve high-performance cell identification detection with low complexity for orthogonal frequency division multiplexing (OFDM) systems, this work proposes an efficient non-coherent cell identification (ID) detection technique based on a new optimization metric. Furthermore, the metric is simplified to two lower-complexity metrics. As such, two more modified cell ID detection methods extended from the first one are also proposed. Experiments show that all the three new cell ID methods achieve better performances than the conventional methods in multipath Rayleigh fading channels. This work also conducts the statistical analysis to characterize the proposed techniques completely. It is shown that the results of the theoretical analysis are close to the simulation results. Among the new techniques, specifically, the third proposed method using the second simplified new metric has much lower complexity and higher performance than the conventional methods.

[1]  Desmond P. Taylor,et al.  Data Transmission by FrequencyDivision Multiplexing Using the Discrete Fourier Transform , 2007 .

[2]  Yong-Hwan Lee,et al.  Rapid cell search in OFDM-based cellular systems , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[3]  Peng Cheng,et al.  A Study on Cell Search Algorithms for IEEE 802.16e OFDMA Systems , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[4]  Yong Soo Cho,et al.  A preamble-based cell searching technique for OFDM cellular systems , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[5]  Sau-Gee Chen,et al.  An efficient cell search algorithm for preamble-based OFDM systems , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[6]  Fredrik Berggren,et al.  A Non-Hierarchical Cell Search Scheme , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[7]  S. Weinstein,et al.  Data Transmission by Frequency-Division Multiplexing Using the Discrete Fourier Transform , 1971 .

[8]  Mamoru Sawahashi,et al.  Investigations on Synchronization Channel Sequences in OFDM Based Evolved UTRA Downlink , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[9]  Satoshi Nagata,et al.  Cell Search Time Comparison Using Hierarchical and Non-hierarchical Synchronization Channels in OFDM Based Evolved UTRA Downlink , 2009, IEICE Trans. Commun..

[10]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[11]  Y.-P. Eric Wang,et al.  Cell search in W-CDMA , 2000, IEEE Journal on Selected Areas in Communications.

[12]  Ian J. Wassell,et al.  Residual frequency offset correction for coherently modulated OFDM systems in wireless communication , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

[13]  Yong Soo Cho,et al.  Synchronization and Cell-Search Technique Using Preamble for OFDM Cellular Systems , 2007, IEEE Transactions on Vehicular Technology.

[14]  S. Srikanth,et al.  Low Complexity Cell Search For Mobile OFDMA System , 2008, 2008 International Conference on Signal Processing, Communications and Networking.

[15]  Jianhua Zhang,et al.  A Preamble-based Cell Search Scheme for OFDMA Cellular Systems , 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

[16]  Daesik Hong,et al.  Performance analysis of channel estimation for OFDM systems with residual timing offset , 2006, IEEE Transactions on Wireless Communications.