TY - GEN
T1 - Weighted Least Square Based Iterative Channel Estimation for Uplink NOMA-OFDM Systems
AU - Balogun, Muyiwa B.
AU - Takawira, Fambirai
AU - Oyerinde, Olutayo O.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation networks. In order to achieve a superior spectral efficiency, the orthogonal frequency division multiplexing (OFDM) technique can be combined with the NOMA scheme. The hybrid OFDM based NOMA system, however, needs accurate information of the channel for optimum performance. In this paper, an efficient weighted least square based iterative algorithm is developed for channel estimation in NOMA-OFDM systems. The channel estimation is achieved by deriving an iterative linear minimum mean-square-error (LMMSE) algorithm, with a weighted least square algorithm as the initialization point. The proposed channel estimation for NOMA-OFDM systems is developed while considering an imperfect successive interference cancellation (SIC) scenario. Simulation results are presented to show the effect of the proposed channel estimation scheme on the NOMA-OFDM system. The performance of the iterative channel estimation algorithm is analyzed in both fast fading and slow fading multipath channels.
AB - Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation networks. In order to achieve a superior spectral efficiency, the orthogonal frequency division multiplexing (OFDM) technique can be combined with the NOMA scheme. The hybrid OFDM based NOMA system, however, needs accurate information of the channel for optimum performance. In this paper, an efficient weighted least square based iterative algorithm is developed for channel estimation in NOMA-OFDM systems. The channel estimation is achieved by deriving an iterative linear minimum mean-square-error (LMMSE) algorithm, with a weighted least square algorithm as the initialization point. The proposed channel estimation for NOMA-OFDM systems is developed while considering an imperfect successive interference cancellation (SIC) scenario. Simulation results are presented to show the effect of the proposed channel estimation scheme on the NOMA-OFDM system. The performance of the iterative channel estimation algorithm is analyzed in both fast fading and slow fading multipath channels.
KW - channel estimation
KW - NOMA
KW - Non-orthogonal multiple access
KW - OFDM
UR - http://www.scopus.com/inward/record.url?scp=85082023519&partnerID=8YFLogxK
U2 - 10.1109/ICSPCS47537.2019.9008698
DO - 10.1109/ICSPCS47537.2019.9008698
M3 - Conference contribution
AN - SCOPUS:85082023519
T3 - 2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings
BT - 2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019
Y2 - 16 December 2019 through 18 December 2019
ER -