pith:HV37WFL7
Policy-Driven DRL-Based TXOP Adaptation in NR-U and Wi-Fi Coexistence
A policy-driven deep reinforcement learning framework models NR-U and Wi-Fi coexistence as a Markov decision process and uses reward design to learn TXOP control policies that set explicit operating points on the fairness-throughput curve.
arxiv:2605.00457 v3 · 2026-05-01 · cs.NI · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HV37WFL7D4VRVU3TKW5QKY74E4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
Simulation results show that the proposed framework achieves a Jain fairness index above 0.9 under strict fairness control. Compared to absolute fairness, moderate fairness improves aggregate throughput by 68.22%, while the utility-based policy further enhances utility by 177.6%.
The coexistence dynamics can be faithfully captured as a Markov decision process whose state and reward signals allow a DQN to learn stable policies that generalize beyond the simulated scenarios.
A DRL framework with tunable reward policies controls TXOP in NR-U/Wi-Fi coexistence to achieve Jain fairness above 0.9 and throughput/utility gains of 68-177% in simulations.
Receipt and verification
| First computed | 2026-05-28T01:04:41.257608Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d77fb157f1f2b1ad37355bb0563fc272966517657e12b071ad35f4dc744da4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HV37WFL7D4VRVU3TKW5QKY74E4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3d77fb157f1f2b1ad37355bb0563fc272966517657e12b071ad35f4dc744da4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14187a97355e550c5fc8b686fade400d1174df56fd08762bb0a75fc4e3aa21db",
"cross_cats_sorted": [
"cs.LG",
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2026-05-01T06:43:09Z",
"title_canon_sha256": "5ab028d0820d5fda486924dfb0e4ff4f873c29200ed1bd7747776eb36f79a868"
},
"schema_version": "1.0",
"source": {
"id": "2605.00457",
"kind": "arxiv",
"version": 3
}
}