Reference health
Active User Identification Based on Asynchronous Sparse Bayesian Learning With SVM
20/20 checkable references clean · checked 2026-07-21
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
4 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 20 checked references that resolve
resolves10.1109/WCSP.2015.7341144
Sparse Bayesian learning based user detection and channel estimation for SCMA uplink systems
resolves10.1109/TVT.2018.2859806
Block Sparse Bayesian Learning Based Joint User Activity Detection and Channel Estimation for Grant-Free NOMA Systems
resolves10.1109/TCOMM.2016.2640307
Performance of Non-orthogonal Multiple Access With a Novel Asynchronous Interference Cancellation Technique
resolves10.1109/WCNC.2018.8377003
Asynchronous uplink non-orthogonal multiple access (NOMA) with cyclic prefix
resolves10.1109/JIOT.2018.2876152
Deep Cognitive Perspective: Resource Allocation for NOMA-Based Heterogeneous IoT With Imperfect SIC
resolves10.1109/PIMRC.2018.8580806
Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC
resolves10.1109/MCOM.2015.7263349
Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends
resolves10.1109/VTCFall.2015.7390876
Compressive Sensing Based Multi-User Detection for Uplink Grant-Free Non-Orthogonal Multiple Access
resolves10.1109/ICC.2017.7997304
Blind detection of uplink grant-free SCMA with unknown user sparsity
resolves10.1109/ICTC.2018.8539661
Hybrid Active User Detection for Massive Machine-type Communications in IoT
resolves10.1109/MCOM.2016.7565189
Massive machine-type communications in 5g: physical and MAC-layer solutions
resolves10.1109/TSP.2014.2329272
Joint Approximately Sparse Channel Estimation and Data Detection in OFDM Systems Using Sparse Bayesian Learning
resolves10.1049/cp.2009.1902
Blind estimation of source number based on SVM in wireless communication systems
resolves10.1108/k.2001.30.1.103.6
An Introduction to Support Vector Machines and Other Kernel‐based Learning Methods
The 4 references without a DOI — listed, not checked
no DOI — not checkedref19
no DOI — not checkedA novel blind multiuser detection algorithm based on support vector machines
no DOI — not checkedA kind of online support vector machine for blind multi-user detection
no DOI — not checkedref24
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-21 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1109/access.2019.2931563"><img src="https://citestamp.com/citestamped/10.1109/access.2019.2931563/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1109/access.2019.2931563)