Sparse Signal Aloha: A Compressive Sensing-Based Method for Uncoordinated Multiple Access

2017 ◽  
Vol 21 (6) ◽  
pp. 1301-1304 ◽  
Author(s):  
Liantao Wu ◽  
Peng Sun ◽  
Ming Xiao ◽  
Yuhen Hu ◽  
Zhi Wang
Keyword(s):  
Compressive Sensing ◽  
Multiple Access ◽  
Sparse Signal

scholarly journals A New Sparse Signal-Matched Measurement Matrix for Compressive Sensing in UWB Communication

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 5327-5342 ◽  
Author(s):  
Sanjeev Sharma ◽  
Anubha Gupta ◽  
Vimal Bhatia
Keyword(s):  
Compressive Sensing ◽  
Sparse Signal ◽  
Measurement Matrix ◽  
Uwb Communication

Heterogeneous Bayesian compressive sensing for sparse signal recovery

2014 ◽  
Vol 8 (9) ◽  
pp. 1009-1017 ◽  
Author(s):  
Kaide Huang ◽  
Yao Guo ◽  
Xuemei Guo ◽  
Guoli Wang
Keyword(s):  
Compressive Sensing ◽  
Sparse Signal ◽  
Sparse Signal Recovery ◽  
Signal Recovery

scholarly journals Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing

Sensors ◽  
2015 ◽  
Vol 15 (8) ◽  
pp. 19880-19911 ◽  
Author(s):  
Liantao Wu ◽  
Kai Yu ◽  
Dongyu Cao ◽  
Yuhen Hu ◽  
Zhi Wang
Keyword(s):  
Compressive Sensing ◽  
Signal Transmission ◽  
Sparse Signal

scholarly journals A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Mehmood Alam ◽  
Qi Zhang
Keyword(s):  
Compressive Sensing ◽  
Multiuser Detection ◽  
Multiple Access ◽  
Research Work ◽  
Sensor Nodes ◽  
New Paradigm ◽  
Medium Access ◽  
Multiple User ◽  
Radio Resources ◽  
Art Research

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

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