A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC
One objective of the 5G communication system and beyond is to support massive machine type of communication (mMTC) to propel the fast growth of diverse Internet of Things use cases. The mMTC is aimed at providing connectivity to tens of billions of sensor nodes. The dramatic increase of sensor devic...
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2021
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oai:doaj.org-article:0a4ee7cf26c74da881426be7a2d3d8ef2021-11-08T02:36:05ZA Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC1530-867710.1155/2021/8840519https://doaj.org/article/0a4ee7cf26c74da881426be7a2d3d8ef2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8840519https://doaj.org/toc/1530-8677One objective of the 5G communication system and beyond is to support massive machine type of communication (mMTC) to propel the fast growth of diverse Internet of Things use cases. The mMTC is aimed at providing connectivity to tens of billions of sensor nodes. The dramatic increase of sensor devices and massive connectivity impose critical challenges for the network to handle the enormous control signaling overhead with limited radio resources. Nonorthogonal multiple access (NOMA) is a new paradigm shift in the design of multiple user detection and multiple access. NOMA with compressive sensing-based multiuser detection is one of the promising candidates to address the challenges of mMTC. The survey article is aimed at providing an overview of the current state-of-art research work in various compressive sensing-based techniques that enable NOMA. We present characteristics of different algorithms and compare their pros and cons, thereby providing useful insights for researchers to make further contributions in NOMA using compressive sensing techniques. Nonorthogonal CDMA massive connectivity grant free medium access compressive sensing multiuser detectionMehmood AlamQi ZhangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021) |
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Technology T Telecommunication TK5101-6720 Mehmood Alam Qi Zhang A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC |
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One objective of the 5G communication system and beyond is to support massive machine type of communication (mMTC) to propel the fast growth of diverse Internet of Things use cases. The mMTC is aimed at providing connectivity to tens of billions of sensor nodes. The dramatic increase of sensor devices and massive connectivity impose critical challenges for the network to handle the enormous control signaling overhead with limited radio resources. Nonorthogonal multiple access (NOMA) is a new paradigm shift in the design of multiple user detection and multiple access. NOMA with compressive sensing-based multiuser detection is one of the promising candidates to address the challenges of mMTC. The survey article is aimed at providing an overview of the current state-of-art research work in various compressive sensing-based techniques that enable NOMA. We present characteristics of different algorithms and compare their pros and cons, thereby providing useful insights for researchers to make further contributions in NOMA using compressive sensing techniques. Nonorthogonal CDMA massive connectivity grant free medium access compressive sensing multiuser detection |
format |
article |
author |
Mehmood Alam Qi Zhang |
author_facet |
Mehmood Alam Qi Zhang |
author_sort |
Mehmood Alam |
title |
A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC |
title_short |
A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC |
title_full |
A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC |
title_fullStr |
A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC |
title_full_unstemmed |
A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC |
title_sort |
survey: nonorthogonal multiple access with compressed sensing multiuser detection for mmtc |
publisher |
Hindawi-Wiley |
publishDate |
2021 |
url |
https://doaj.org/article/0a4ee7cf26c74da881426be7a2d3d8ef |
work_keys_str_mv |
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_version_ |
1718443159711645696 |