TY - GEN
T1 - Modified blind selected mapping for OFDM/single-carrier signal transmission
AU - Boonkajay, Amnart
AU - Adachi, Fumiyuki
N1 - Funding Information:
This paper includes a part of results of "The research and development project for realization of the fifth-generation mobile communications system," commissioned to Tohoku University by The Ministry of Internal Affairs and Communications (MIC), Japan.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Blind selected mapping (blind SLM) is an effective peak-to-average power ratio (PAPR) reduction technique which does not require side information sharing. In the blind SLM, the receiver employs phase rotation sequence estimation, which can be carried out using maximum-likelihood (ML) estimation or 2-step sequence estimation using Viterbi algorithm. ML estimation typically requires much higher computational complexity. Recently, we showed that the use of codebook generated from a 2-level phase rotation set {0°, 135°} and the ML phase rotation sequence estimation based on the fourth-power QAM constellation requires much less complexity compared to the conventional blind SLM with 3-level phase rotation set {0°, 120°, 240°} and ML estimation based on original QAM constellation. However, for a large number of phase rotation sequences, the computational complexity still remains high. In this paper, in order to further reduce the computational complexity, we propose a combined use of a 2-level phase rotation set {0°, 135°} and the 2-step sequence estimation. The use of 2-level phase rotation set significantly reduces the number of branches and states in the Viterbi algorithm and hence, leads to complexity reduction. Simulation results confirm that the blind SLM using the 2-level phase rotation set and the 2-step sequence estimation has less computational complexity while achieving similar BER to the ML sequence estimation.
AB - Blind selected mapping (blind SLM) is an effective peak-to-average power ratio (PAPR) reduction technique which does not require side information sharing. In the blind SLM, the receiver employs phase rotation sequence estimation, which can be carried out using maximum-likelihood (ML) estimation or 2-step sequence estimation using Viterbi algorithm. ML estimation typically requires much higher computational complexity. Recently, we showed that the use of codebook generated from a 2-level phase rotation set {0°, 135°} and the ML phase rotation sequence estimation based on the fourth-power QAM constellation requires much less complexity compared to the conventional blind SLM with 3-level phase rotation set {0°, 120°, 240°} and ML estimation based on original QAM constellation. However, for a large number of phase rotation sequences, the computational complexity still remains high. In this paper, in order to further reduce the computational complexity, we propose a combined use of a 2-level phase rotation set {0°, 135°} and the 2-step sequence estimation. The use of 2-level phase rotation set significantly reduces the number of branches and states in the Viterbi algorithm and hence, leads to complexity reduction. Simulation results confirm that the blind SLM using the 2-level phase rotation set and the 2-step sequence estimation has less computational complexity while achieving similar BER to the ML sequence estimation.
KW - OFDM
KW - PAPR
KW - SLM
KW - single carrier
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U2 - 10.1109/APCC.2018.8633479
DO - 10.1109/APCC.2018.8633479
M3 - Conference contribution
AN - SCOPUS:85062849778
T3 - 2018 24th Asia-Pacific Conference on Communications, APCC 2018
SP - 45
EP - 50
BT - 2018 24th Asia-Pacific Conference on Communications, APCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th Asia-Pacific Conference on Communications, APCC 2018
Y2 - 12 November 2018 through 14 November 2018
ER -