User Detection Performance Analysis for Grant-Free Uplink Transmission in Large-Scale Antenna Systems

Jonghyun Kim, Kyung Lin Ryu, Kwang Soon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, user detection performance of a grant-free uplink transmission in a large scale antenna system is analyzed, in which a general grant-free multiple access is considered as the system model and Zadoff-Chu sequence is used for the uplink pilot. The false alarm probabilities of various user detection schemes under the target detection probabilities are evaluated.

Original languageEnglish
Title of host publicationICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages352-354
Number of pages3
ISBN (Print)9781538646465
DOIs
Publication statusPublished - 2018 Aug 14
Event10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 - Prague, Czech Republic
Duration: 2018 Jul 32018 Jul 6

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2018-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Other

Other10th International Conference on Ubiquitous and Future Networks, ICUFN 2018
CountryCzech Republic
CityPrague
Period18/7/318/7/6

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'User Detection Performance Analysis for Grant-Free Uplink Transmission in Large-Scale Antenna Systems'. Together they form a unique fingerprint.

  • Cite this

    Kim, J., Ryu, K. L., & Kim, K. S. (2018). User Detection Performance Analysis for Grant-Free Uplink Transmission in Large-Scale Antenna Systems. In ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks (pp. 352-354). [8436958] (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2018.8436958