TY - GEN
T1 - Four Single-Sideband M-QAM Modulation using Soft Input Soft Output Equalizer over OFDM
AU - Mustafa, Alhasani M.
AU - Nguyen, Quang N.
AU - Sato, Takuro
AU - Ohta, Gen Ichhiro
N1 - Funding Information:
We express our highest regards to the government of the Kingdom of Saudi Arabia represented by the Ministry of Education for the Two Holy Mosque Overseas Scholarship program and for their support and cooperation. In addition, we thank Ms. Yi Jiang for her support and discussions regarding 4-SSB technology, Quang N. Nguyen's work has been supported by Waseda University Grant for Special Research Projects under Grant number 2018S-082.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/16
Y1 - 2019/1/16
N2 - The Single Sideband (SSB) modulation through Hilbert transformation has successfully transmitted data using only half bandwidth for the same amount of contained information. Towards this line, the Four Single SideBand (4-SSB) using QPSK modulation over OFDM was proposed as a new applicable modulation for the next generation communication system, such as 5G. This approach can improve the network efficiency, however, the InterSymbol Interference (ISI) is substantially introduced in 4-SSB based modulation due to the wireless channel characteristics, especially when we are increasing the order of modulation. Particularly, the Widely Linear Minimum Mean Squared Error (MMSE) equalizer is impractical in high order modulation because of its high performance degradation. In this paper, we propose a 4-SSB M-QAM over OFDM approach to improve the modulation feasibility and data rate, compared to the previous 4-SSB using QPSK over OFDM. The proposal uses the Infinite Length MMSE Soft Input Soft Output (SISO) equalizer to deal with ISI induced by the Finite Impulse Response (FIR) of the Hilbert transform filter. The evaluation results show that the proposed 4-SSB-based modulation technique using MMSE SISO equalizer can considerably reduce the effect of ISI in non-ideal environments, including the Additive White Gaussian Noise (AWGN) and fading channel.
AB - The Single Sideband (SSB) modulation through Hilbert transformation has successfully transmitted data using only half bandwidth for the same amount of contained information. Towards this line, the Four Single SideBand (4-SSB) using QPSK modulation over OFDM was proposed as a new applicable modulation for the next generation communication system, such as 5G. This approach can improve the network efficiency, however, the InterSymbol Interference (ISI) is substantially introduced in 4-SSB based modulation due to the wireless channel characteristics, especially when we are increasing the order of modulation. Particularly, the Widely Linear Minimum Mean Squared Error (MMSE) equalizer is impractical in high order modulation because of its high performance degradation. In this paper, we propose a 4-SSB M-QAM over OFDM approach to improve the modulation feasibility and data rate, compared to the previous 4-SSB using QPSK over OFDM. The proposal uses the Infinite Length MMSE Soft Input Soft Output (SISO) equalizer to deal with ISI induced by the Finite Impulse Response (FIR) of the Hilbert transform filter. The evaluation results show that the proposed 4-SSB-based modulation technique using MMSE SISO equalizer can considerably reduce the effect of ISI in non-ideal environments, including the Additive White Gaussian Noise (AWGN) and fading channel.
KW - Fading Channel
KW - InterSymbol Interference (ISI)
KW - Orthogonal 4-SSB Element Modulation
KW - Single Sideband (SSB)
KW - Turbo Equalization
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U2 - 10.1109/ATNAC.2018.8615451
DO - 10.1109/ATNAC.2018.8615451
M3 - Conference contribution
AN - SCOPUS:85062194758
T3 - 2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018
BT - 2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Telecommunication Networks and Applications Conference, ITNAC 2018
Y2 - 21 November 2018 through 23 November 2018
ER -