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When NOMA meets sparse signal processing : asymptotic performance analysis and optimal sequence design
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Qi, T., Feng, W., Chen, Yunfei and Wang, Y. (2017) When NOMA meets sparse signal processing : asymptotic performance analysis and optimal sequence design. IEEE Access, 5 . 18516 -18525. doi:10.1109/ACCESS.2017.2727518 ISSN 2169-3536.
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Official URL: http://doi.org/10.1109/ACCESS.2017.2727518
Abstract
Due to limited radio resources, non-orthogonal multiple
access (NOMA) is a promising technology to enable massive
connectivity in future 5G and beyond wireless networks. However,
it suffers from the multiple access interference (MAI), which
usually requires a high detection complexity to mitigate. In this
paper, we consider NOMA with sparse multiple-access sequences,
so as to leverage the message passing algorithm (MPA) for lowcomplexity and high-reliability multiuser detection. The optimal
sparsity of spreading sequences is analyzed by minimizing the
average bit error rate (BER) in the asymptotic large-system limit.
Based on the analysis, the optimal sparse sequences that optimize
the performance of MPA detector are designed in a systematically
hierarchical way. The sparse structure is constructed given the
target girth. Then, the values of nonzero entries are determined
to maximize the minimum distance. The detection performance
of the designed sparse sequences is presented for both additive
white Gaussian noise (AWGN) and Rayleigh fading channels.
Simulation results show the superiority of the proposed design
in comparison with existing schemes.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Cell phone systems -- Standards, Wireless sensor networks | ||||||
| Journal or Publication Title: | IEEE Access | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 2169-3536 | ||||||
| Official Date: | 16 July 2017 | ||||||
| Dates: |
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| Volume: | 5 | ||||||
| Page Range: | 18516 -18525 | ||||||
| DOI: | 10.1109/ACCESS.2017.2727518 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 24 July 2017 | ||||||
| Date of first compliant Open Access: | 24 July 2017 | ||||||
| Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC), China. Guo jia ke xue ji shu bu [Ministry of Science and Technology] (CMST) | ||||||
| Grant number: | 61231011, 6113200 (NSFC), 2013CB329001 (CMST) |
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