User activity detection-based large SCMA system for uplink grant-free access

Sanjeev Sharma, Kuntal Deka, Yi Hong

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Abstract

Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access (NOMA) technology for next generation wireless networks to achieve higher spectral efficiency and lower latency in massive machine type communication systems. In the massive uplink grant-free communications, users can conduct uplink instant transmissions without grant to reduce signaling overhead as well as the latency. Multiusers' data symbols are detected using the message passing algorithm (MPA) aided by the exact a priori information of the active users. However, prior knowledge of the active users is impractical in a grant-free communication system due to randomness in users' activity. Therefore, in this paper, we propose a compressive sensing based SCMA system for grant-free massive machine type communications. In the proposed large SCMA system, the active users are detected using a two-phase procedure and then MPA-based receiver is adopted for active users' data symbol detection. The ability of user detection, false detection probability, and bit error rate performances are analyzed over additive white Gaussian noise (AWGN) and Rayleigh fading channels. The corresponding results provide useful insight to design a large SCMA system in situations such as massive machine type communications where prior user-activity information is not readily available.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications Workshops (ICC Workshops), Proceedings
EditorsJiangzhou Wang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781728123738
DOIs
Publication statusPublished - 2019
EventInternational Workshop on Non-Orthogonal Multiple Access Techniques 2019 - Shanghai, China
Duration: 24 May 201924 May 2019
Conference number: 5th
https://icc2019.ieee-icc.org/workshop/w05-5th-international-workshop-non-orthogonal-multiple-access-techniques-5g

Conference

ConferenceInternational Workshop on Non-Orthogonal Multiple Access Techniques 2019
Abbreviated titleNOMA5G 2019
CountryChina
CityShanghai
Period24/05/1924/05/19
Internet address

Keywords

  • Compressive sensing
  • Grant-free system
  • Message passing algorithm
  • NOMA
  • SCMA
  • User activity estimation

Cite this

Sharma, S., Deka, K., & Hong, Y. (2019). User activity detection-based large SCMA system for uplink grant-free access. In J. Wang (Ed.), 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Proceedings IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCW.2019.8756846