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Performance Analysis for MmWave MIMO-SCMA systems Using Lens Antenna Array
Southwest Jiaotong Univ, Key Lab Informat Coding & Transmiss, Chengdu, Sichuan, Peoples R China..
Southwest Jiaotong Univ, Key Lab Informat Coding & Transmiss, Chengdu, Sichuan, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
Southwest Jiaotong Univ, Key Lab Informat Coding & Transmiss, Chengdu, Sichuan, Peoples R China..
2019 (English)In: 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

The recent concept of beamspace multiple input multiple output (MEMO) can significantly reduce the number of required radio frequency (RE) chains in millimeter wave (mmWave) massive MEMO systems without obvious performance loss. However, the number of supported users cannot be larger than the number of RF chains in hybrid MEMO architectures. To break this fundamental limit, we introduce the concept of sparse code multiple access (SCMA) with beamspace MEMO, then a useful upper bound on the average symbol error probability is obtained through the union bound. The bound is tight in beamspace nunWave MEMO-SCMA systems for high SNR regions. The analytical result is compared with simulations, and the results confirm the effectiveness of the analysis for mmWave MEMO-SCMA channels.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE International Conference on Communications Workshops, ISSN 2164-7038
Keywords [en]
Millimeter-wave, beamspace MEMO, sparse code multiple access, SER
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-261063DOI: 10.1109/ICCW.2019.8756756ISI: 000484917800050Scopus ID: 2-s2.0-85070257798ISBN: 978-1-7281-2373-8 (print)OAI: oai:DiVA.org:kth-261063DiVA, id: diva2:1356646
Conference
IEEE International Conference on Communications (ICC), MAY 20-24, 2019, Shanghai, PEOPLES R CHINA
Note

QC 20191002

Available from: 2019-10-02 Created: 2019-10-02 Last updated: 2019-10-02Bibliographically approved

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Xiao, Ming

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