TY - GEN
T1 - User detection and channel estimation for SCMA uplink system in dispersive channel
AU - Wang, Yufeng
AU - Zhang, Xiujun
AU - Zhou, Shidong
AU - Lian, Jin
AU - Xiao, Limin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/25
Y1 - 2017/1/25
N2 - Sparse code multiple access (SCMA) is a new non-orthogonal multiple-access technique in future wireless networks. In SCMA uplink burst transmission, user detection and channel estimation require significant pilot overhead. Dispersive channels with relative small coherent frequency / time, as well as fading diversity techniques, both lead to a result that multiple fading blocks are taken during one transmission. In this paper, a new method of separating SCMA user detection and channel estimation among different fading blocks in dispersive channels is proposed to reduce pilot overhead. Further more, according to the sparsity of SCMA codebooks, a new mapping pattern from SCMA layers to physical resources is proposed to improve channel estimation performance with given pilots. The effectiveness of the proposal are described and analyzed, meanwhile the complexity is evaluated. Numerical simulations are performed to substantiate the performance of the proposed algorithm.
AB - Sparse code multiple access (SCMA) is a new non-orthogonal multiple-access technique in future wireless networks. In SCMA uplink burst transmission, user detection and channel estimation require significant pilot overhead. Dispersive channels with relative small coherent frequency / time, as well as fading diversity techniques, both lead to a result that multiple fading blocks are taken during one transmission. In this paper, a new method of separating SCMA user detection and channel estimation among different fading blocks in dispersive channels is proposed to reduce pilot overhead. Further more, according to the sparsity of SCMA codebooks, a new mapping pattern from SCMA layers to physical resources is proposed to improve channel estimation performance with given pilots. The effectiveness of the proposal are described and analyzed, meanwhile the complexity is evaluated. Numerical simulations are performed to substantiate the performance of the proposed algorithm.
KW - SCMA
KW - active user detection
KW - dispersive channel estimation
KW - massive connectivity
KW - pilots reduction
UR - https://www.scopus.com/pages/publications/85013886492
U2 - 10.1109/ICCS.2016.7833605
DO - 10.1109/ICCS.2016.7833605
M3 - 会议稿件
AN - SCOPUS:85013886492
T3 - 2016 IEEE International Conference on Communication Systems, ICCS 2016
BT - 2016 IEEE International Conference on Communication Systems, ICCS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Communication Systems, ICCS 2016
Y2 - 14 December 2016 through 16 December 2016
ER -