Deep learning-based active user detection for grant-free SCMA systems
T Sivalingam, S Ali, NH Mahmood… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
Grant-free random access and uplink non-orthogonal multiple access (NOMA) have been
introduced to reduce transmission latency and signaling overhead in massive machine-type …
introduced to reduce transmission latency and signaling overhead in massive machine-type …
Deep neural network-based blind multiple user detection for grant-free multi-user shared access
T Sivalingam, S Ali, NH Mahmood… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
Multi-user shared access (MUSA) is introduced as advanced code domain non-orthogonal
complex spreading sequences to support a massive number of machine-type …
complex spreading sequences to support a massive number of machine-type …
Deep learning-based blind multiple user detection for grant-free scma and musa systems
Massive machine-type communications (mMTC) in 6G requires supporting a massive
number of devices with limited resources, posing challenges in efficient random access …
number of devices with limited resources, posing challenges in efficient random access …
User activity detection-based large SCMA system for uplink grant-free access
Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access
(NOMA) technology for next generation wireless networks to achieve higher spectral …
(NOMA) technology for next generation wireless networks to achieve higher spectral …
MAP-based active user and data detection for massive machine-type communications
With the advent of the Internet of things, massive machine-type communications (mMTC)
have become one of the most important requirements for next generation communication …
have become one of the most important requirements for next generation communication …
Greedy data-aided active user detection for massive machine type communications
A grant-free access (GFA) is considered as a promising solution for realizing massive
connectivity with reduced signal overhead and latency in massive machine type …
connectivity with reduced signal overhead and latency in massive machine type …
Supporting more active users for massive access via data-assisted activity detection
Massive machine-type communication (mMTC) has been regarded as one of the most
important use scenarios in the fifth generation (5G) and beyond wireless networks, which …
important use scenarios in the fifth generation (5G) and beyond wireless networks, which …
EP-based joint active user detection and channel estimation for massive machine-type communications
Massive machine-type communication (mMTC) is a newly introduced service category in 5G
wireless communication systems to support a variety of Internet-of-Things (IoT) applications …
wireless communication systems to support a variety of Internet-of-Things (IoT) applications …
Deep learning based fast multiuser detection for massive machine-type communication
Massive machine-type communication (MTC) with sporadically transmitted small packets
and low data rate requires new designs on the PHY and MAC layer with light transmission …
and low data rate requires new designs on the PHY and MAC layer with light transmission …
A Scalable Deep-Learning-Based Active User Detection Approach for SEU-Assisted Cell-Free Massive MIMO Systems
L Diao, H Wang, J Li, P Zhu, D Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Massive ultrareliable and low-latency communications (mURLLC) is an emerging and
dominate traffic service in 6G. To reduce the signaling overhead and access delay, grant …
dominate traffic service in 6G. To reduce the signaling overhead and access delay, grant …