Publication2026
Deep Recurrent Learning for L-MIMO NOMA with Imperfect CSI: An S-LSTM Approach
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Journal of Information Science and Engineering
- Volume
- 42
- Issue
- 3
- Pages
- 805-830
- Published
- 1 January 2026
- DOI
- 10.6688/jise.202605_42(3).0019
- Scopus ID
- 105038716105
- ISSN
- 10162364
- Authors
- 6
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.c Significantly increase access to ICT and provide universal and affordable access to the internet
Stacked LSTM framework improves channel state information estimation for L-MIMO NOMA systems achieving 4-9 dB gain in V2V communication
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Stacked LSTM framework improves channel state information estimation for L-MIMO NOMA systems achieving 4-9 dB gain in V2V communication
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Deep Recurrent Learning for L-MIMO NOMA with Imperfect CSI: An S-LSTM Approach”. Kortex.