TY - GEN
T1 - Worst-case residual clipping noise power model for bit loading in LACO-OFDM
AU - Zhang, Zhenyu
AU - Chaaban, Anas
AU - Shen, Chao
AU - Elgala, Hany
AU - Ng, Tien Khee
AU - Ooi, Boon S.
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2018/3/19
Y1 - 2018/3/19
N2 - Layered ACO-OFDM enjoys better spectral efficiency than ACO-OFDM, but its performance is challenged by residual clipping noise (RCN). In this paper, the power of RCN of LACO-OFDM is analyzed and modeled. As RCN is data-dependent, the worst-case situation is considered. A worst-case indicator is defined for relating the power of RCN and the power of noise at the receiver, wherein a linear relation is shown to be a practical approximation. An LACO-OFDM bit-loading experiment is performed to examine the proposed RCN power model for data rates of 6 to 7 Gbps. The experiment's results show that accounting for RCN has two advantages. First, it leads to better bit loading and achieves up to 59% lower overall bit-error rate (BER) than when the RCN is ignored. Second, it balances the BER across layers, which is a desired property from a channel coding perspective.
AB - Layered ACO-OFDM enjoys better spectral efficiency than ACO-OFDM, but its performance is challenged by residual clipping noise (RCN). In this paper, the power of RCN of LACO-OFDM is analyzed and modeled. As RCN is data-dependent, the worst-case situation is considered. A worst-case indicator is defined for relating the power of RCN and the power of noise at the receiver, wherein a linear relation is shown to be a practical approximation. An LACO-OFDM bit-loading experiment is performed to examine the proposed RCN power model for data rates of 6 to 7 Gbps. The experiment's results show that accounting for RCN has two advantages. First, it leads to better bit loading and achieves up to 59% lower overall bit-error rate (BER) than when the RCN is ignored. Second, it balances the BER across layers, which is a desired property from a channel coding perspective.
UR - http://hdl.handle.net/10754/627395
UR - http://ieeexplore.ieee.org/document/8319113/
UR - http://www.scopus.com/inward/record.url?scp=85050274791&partnerID=8YFLogxK
U2 - 10.23919/glc.2018.8319113
DO - 10.23919/glc.2018.8319113
M3 - Conference contribution
SN - 9782956309109
SP - 1
EP - 6
BT - 2018 Global LIFI Congress (GLC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -