pith:SQTQCOEG
Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
A multi-block attention network recovers channel estimates from 87 percent fewer pilots in IRS-assisted mmWave MIMO systems.
arxiv:2605.15032 v1 · 2026-05-14 · eess.SP · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SQTQCOEGJRHAEJYCTTAEASKISI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
The MBA method reduces pilot overhead by up to 87% compared to the LS estimator and achieves approximately 51% lower NMSE at 10 dB SNR than leading methods.
That the simulated propagation environments and noise models accurately represent real-world mmWave channels, and that the neural network trained on synthetic data generalizes to practical deployments.
A multi-block attention neural network reduces pilot overhead by 87% and NMSE by 51% at 10 dB SNR for cascaded channel estimation in IRS-assisted mmWave MIMO-OFDM systems.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:38:54.574179Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
94270138864c4e0227029cc04049489214f5d506359e72b76604a00afdfa1f71
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SQTQCOEGJRHAEJYCTTAEASKISI \
| 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: 94270138864c4e0227029cc04049489214f5d506359e72b76604a00afdfa1f71
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a10caadaba4a7412670f004bac3a58a4c9da51c054a20eae5bfc9c1a064f00f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2026-05-14T16:27:38Z",
"title_canon_sha256": "080fdb5a10b65e3f7b9f4383ac1fbc4d2fd9babee13be39f486a5213c5d6bb33"
},
"schema_version": "1.0",
"source": {
"id": "2605.15032",
"kind": "arxiv",
"version": 1
}
}