Name
Title | ||
|---|---|---|
Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing. |
Abstract | ||
|---|---|---|
Sparse code multiple access (SCMA) combined with spectrally efficient frequency division multiplexing (SEFDM) is a wireless air-interface technology with dual non-orthogonal characteristic which can meet the high spectral efficiency requirement of the future Internet of Things (IoT). In this paper, an iterative multiuser detection/decoder (IMUDD) method for SCMA-SEFDM is proposed, which performs soft information iteration in a turbo style. IMUDD can effectively achieve the multiple-access interference (MAI), inter-symbol interference (ISI) and inter-carrier interference (ICI) cancellation through an external iteration and three internal iterative processes. At each iteration, extrinsic information is extracted from detection and decoding stages, then it is used as a priori information in the next iteration. Furthermore, to reduce the computational complexity of IMUDD scheme, a logarithm domain IMUDD is adopted and analyzed. The simulation results show that IMUDD has a noticeable performance improvement compared to the traditional turbo structured receivers over the multipath fading channel or the additive white Gaussian noise (AWGN) channel. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ACCESS.2020.2964041 | IEEE ACCESS |
Keywords | DocType | Volume |
SCMA,SEFDM,IoT,iterative multiuser detection,interference cancellation | Journal | 8 |
ISSN | Citations | PageRank |
2169-3536 | 1 | 0.37 |
References | Authors | |
0 | 5 | |