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2018
DOI: 10.1109/access.2018.2877477
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Non-Orthogonal Multiple Access With Sequence Block Compressed Sensing Multiuser Detection for 5G

Abstract: 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 aims to provide connectivity to tens of billions 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 resource. Non-Orthogonal Multiple Access (NOMA) is a new paradigm shift in the desig… Show more

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Cited by 18 publications
(9 citation statements)
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References 66 publications
(102 reference statements)
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“…The most straightforward option is to combine this multi-user technique with classical ones used for the massive access, e.g. slotted ALOHA as proposed in 5G standardization [5,6].…”
Section: Numerical Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The most straightforward option is to combine this multi-user technique with classical ones used for the massive access, e.g. slotted ALOHA as proposed in 5G standardization [5,6].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The recent trend for IoT communications brings the research community to look at new performance metrics thus broadening the scope of classical cellular networks [1,2]. For instance, a strong interest is given to the the impact of massive access, short packets and capacity evaluation [3,4,5].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In particular, we will assume that the multiple access (MA) is done in an autonomous way, [8], which is the simplest approach. However, this is more challenging for the design of the receiver [9], [10], [11] and [12], because nothing is known a priori in terms of resource scheduling or other important parameters for channel estimation.…”
Section: Introductionmentioning
confidence: 99%
“…At the receiver, CSMUD uses compressive sensing algorithms to jointly detect the activity and data. A comprehensive study of the CSMUD is given in our review article [18].…”
Section: Introductionmentioning
confidence: 99%