ZTE Communications ›› 2017, Vol. 15 ›› Issue (S1): 31-40.DOI: 10.3969/j.issn.1673-5188.2017.S1.004
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YANG Shan, CHEN Peng, LIANG Lin, ZHU Jianchi, SHE Xiaoming
Received:
2016-09-30
Online:
2017-06-25
Published:
2020-04-14
About author:
YANG Shan (yangshan.bri@chinatelecom.cn) received her M.S. degree in commnuication and information system in 2012 from Beijing University of Posts and Telecommunications (BUPT), China. She works with China Telecom Technology Innvotation Center. She is now the 3GPP RAN4 and RAN1 delegate of China Telecom, and has submitted more than 200 contributions to 3GPP. Her reasearch interestes include 5G multiple access technology, baseband advacned receiver, and radio frequency requirements.|CHEN Peng (chenpeng.bri@chinatelecom.cn) received his Ph.D. degree in commnuication and information system in 2006 from BUPT, China. He is the director of China Telecom Technology Innvotation Center, and his reasearch interestes include 5G air interface, network artchitecutre, and 3GPP 5G standaridzaion work.|LIANG Lin (lianglin.bri@chinatelecom.cn) received his M.S. degree in commnuication and information system in 2013 from BUPT, China. He works with China Telecom Technology Innvotation Center. His reasearch interestes include baseband advacned receiver, channel coding, massive MIMO and 3GPP 5G standaridzaion work.|ZHU Jianchi (zhujc.bri@chinatelecom.cn) received his M.S. degree in commnuication and information system in 2007 from BUPT, China. He works with China Telecom Technology Innvotation Center. His reasearch interestes include 5G multiple access techonology, ultra dense network, massive MIMO and 3GPP 5G standaridzaion work.|SHE Xiaoming (shexm.bri@chinatelecom.cn) received his Ph.D. degree in commnuication and information system in 2004 from Tsinghua University, China. He is the vice director of China Telecom Technology Innvotation Center, and his reasearch interestes include 5G air interface, network artchitecutre, and 3GPP 5G standaridzaion work.
YANG Shan, CHEN Peng, LIANG Lin, ZHU Jianchi, SHE Xiaoming. Uplink Multiple Access Schemes for 5G: A Survey[J]. ZTE Communications, 2017, 15(S1): 31-40.
NMA scheme | Description | Standardization impact | Receiver algorithm | |
---|---|---|---|---|
Category 1: Scrambling based | NOMA | •Multiple UEs with different scrambling sequences are transmitted on the same resource •NOMA can also bring in performance gain for multiple UEs with similar wideband SINR, thanks to the fast fading | •Define new scrambling sequence if needed •Power control enhancement if needed | SIC |
RSMA | Use combination of low rate channel codes and scrambling codes (and optionally different interleavers) with good correlation properties | •Define scrambling sequence and interleaver if needed •Define single carrier based new waveform for asynchronous transmission | SIC | |
LSSA | Each UE’s data is bit or symbol level multiplexed with UE specific signature pattern which is unknown to others | Define signature pattern | SIC | |
Category 2: Interleaving based | IDMA | Use bit level interleavers to separate UEs | Define bit-level interleaver | ESE |
IGMA | Use bit level interleavers and/or grid mapping pattern to separate UEs | •Define bit-level interleaver •Define sparse symbol-to-RE grid mapping pattern | ESE or chip-by-chip MAP | |
Category 3: Spreading based | SCMA | The coded bits of a data stream are directly mapped to a codeword from a codebook built based on a multi-dimensional constellation, and low density spreading is utilized | Define LDS code and multi-dimensional constellation | MPA, or MPA with SIC |
PDMA | A code is used to define sparse mapping from data to a group of resources, and different codes may have different diversity orders | Define LDS code matrix | BP based iterative detection and decoding | |
LDS-SVE | For LDS spreading, consider UE signature vector extension, e.g., transforming and concatenating two element signature vectors into a larger signature vector | •Define LDS code•Define signature vector extension method | MPA | |
MUSA | Use random complex spreading codes with short length, and the real part and imaginary part of each element in the complex spreading code are drawn from a multi-level real value set uniformly, for example, {-1, 1} or {-1, 0, 1} | Define spreading code | SIC | |
NOCA | Use LTE defined low correlation sequences as spreading codes, e.g., LTE defined sequences for uplink reference signal for 1 RB case | Reuse the LTE defined sequence as spreading code | SIC | |
NCMA | Spreading codes are obtained by Grassmannian line packing problem | Define spreading code | PIC | |
LCRS | Apply direct spreading of modulation symbols and to transmit the spread symbols in time-frequency resources allocated for non-orthogonal transmission | Define spreading code | SIC |
Table 2 Candidate uplink NMA schemes
NMA scheme | Description | Standardization impact | Receiver algorithm | |
---|---|---|---|---|
Category 1: Scrambling based | NOMA | •Multiple UEs with different scrambling sequences are transmitted on the same resource •NOMA can also bring in performance gain for multiple UEs with similar wideband SINR, thanks to the fast fading | •Define new scrambling sequence if needed •Power control enhancement if needed | SIC |
RSMA | Use combination of low rate channel codes and scrambling codes (and optionally different interleavers) with good correlation properties | •Define scrambling sequence and interleaver if needed •Define single carrier based new waveform for asynchronous transmission | SIC | |
LSSA | Each UE’s data is bit or symbol level multiplexed with UE specific signature pattern which is unknown to others | Define signature pattern | SIC | |
Category 2: Interleaving based | IDMA | Use bit level interleavers to separate UEs | Define bit-level interleaver | ESE |
IGMA | Use bit level interleavers and/or grid mapping pattern to separate UEs | •Define bit-level interleaver •Define sparse symbol-to-RE grid mapping pattern | ESE or chip-by-chip MAP | |
Category 3: Spreading based | SCMA | The coded bits of a data stream are directly mapped to a codeword from a codebook built based on a multi-dimensional constellation, and low density spreading is utilized | Define LDS code and multi-dimensional constellation | MPA, or MPA with SIC |
PDMA | A code is used to define sparse mapping from data to a group of resources, and different codes may have different diversity orders | Define LDS code matrix | BP based iterative detection and decoding | |
LDS-SVE | For LDS spreading, consider UE signature vector extension, e.g., transforming and concatenating two element signature vectors into a larger signature vector | •Define LDS code•Define signature vector extension method | MPA | |
MUSA | Use random complex spreading codes with short length, and the real part and imaginary part of each element in the complex spreading code are drawn from a multi-level real value set uniformly, for example, {-1, 1} or {-1, 0, 1} | Define spreading code | SIC | |
NOCA | Use LTE defined low correlation sequences as spreading codes, e.g., LTE defined sequences for uplink reference signal for 1 RB case | Reuse the LTE defined sequence as spreading code | SIC | |
NCMA | Spreading codes are obtained by Grassmannian line packing problem | Define spreading code | PIC | |
LCRS | Apply direct spreading of modulation symbols and to transmit the spread symbols in time-frequency resources allocated for non-orthogonal transmission | Define spreading code | SIC |
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