TY - GEN
T1 - Signature identification techniques with Zadoff-Chu sequence for OFDM systems
AU - Lee, Kilbom
AU - Kim, Joonsuk
AU - Ahn, Minki
AU - Lee, Inkyu
PY - 2013
Y1 - 2013
N2 - A signature identification algorithm is a method to obtain the cell identification information for wireless cellular systems or determine the intended user for wireless local area network. In this paper, we propose a simple and efficient signature identification algorithm using Zadoff-Chu sequence in orthogonal frequency division multiplexing systems. To demonstrate efficacy of the proposed algorithm, we derive the probability of signature identification failures for different power delay profiles. From the derived probability, it is shown that the proposed algorithm fully exploits frequency selective fadings. Especially, we reveal that the slope of the failure probability curves is determined by the channel length for equal power fading channels. Simulation results show that the proposed algorithm outperforms conventional signature algorithms in frequency selective fading channels. Also, we confirm that our analysis matches well with the empirical results of the proposed signature identification algorithm.
AB - A signature identification algorithm is a method to obtain the cell identification information for wireless cellular systems or determine the intended user for wireless local area network. In this paper, we propose a simple and efficient signature identification algorithm using Zadoff-Chu sequence in orthogonal frequency division multiplexing systems. To demonstrate efficacy of the proposed algorithm, we derive the probability of signature identification failures for different power delay profiles. From the derived probability, it is shown that the proposed algorithm fully exploits frequency selective fadings. Especially, we reveal that the slope of the failure probability curves is determined by the channel length for equal power fading channels. Simulation results show that the proposed algorithm outperforms conventional signature algorithms in frequency selective fading channels. Also, we confirm that our analysis matches well with the empirical results of the proposed signature identification algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84891355573&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891355573&partnerID=8YFLogxK
U2 - 10.1109/ICC.2013.6655510
DO - 10.1109/ICC.2013.6655510
M3 - Conference contribution
AN - SCOPUS:84891355573
SN - 9781467331227
T3 - IEEE International Conference on Communications
SP - 5737
EP - 5741
BT - 2013 IEEE International Conference on Communications, ICC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE International Conference on Communications, ICC 2013
Y2 - 9 June 2013 through 13 June 2013
ER -