Pith Number

pith:AOI5K2A3

pith:2026:AOI5K2A36GFPLPI5IXBW54UG5Z

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DL-Driven Optimization for ISAC System Equipped With Pinching and Movable Antennas

Chih-Peng Li, Keshav Singh, Nemanja Stefan Perovi\'c

Deep learning tunes positions of pinching and movable antennas in ISAC systems to raise sum rate over fixed-antenna baselines, with larger gains at higher transmit power.

arxiv:2605.17629 v1 · 2026-05-17 · cs.IT · math.IT

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Claims

C1strongest claim

Simulation results show that using PAs and MAs in ISAC systems provides a larger sum-rate compared to ISAC systems with only fixed antennas, and that this performance advantage is increased with the maximum transmit power.

C2weakest assumption

The unsupervised deep learning network converges to near-optimal values for the positions of transmit PAs, positions of users' MAs, communication precoding matrices, and sensing transmit beamformer when trained with the proposed loss function that includes the sum-rate objective and position constraint penalties.

C3one line summary

Deep learning optimizes pinching and movable antenna positions, precoding matrices, and sensing beamformer in an ISAC system to achieve higher sum-rates than fixed-antenna baselines under sensing constraints.

References

19 extracted · 19 resolved · 0 Pith anchors

[1] Rate region of 2026

[2] Pinching Antenna Systems for Integrated Sensing and Communications , author=. IEEE Trans. Wireless Commun. , volume=. 2026 , publisher= 2026

[3] Integrated sensing and communications for pinching-antenna systems

[4] Multi-waveguide pinching antennas for 2025

[5] Movable antenna enhanced networked integrated sensing and communication system , author=. IEEE Trans. Wireless Commun. , volume=. 2025 , publisher= 2025

Receipt and verification

First computed	2026-05-20T00:04:49.477448Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0391d5681bf18af5bd1d45c36ef286ee4f7c2b8d6aef9e8a466facb727bea6e5

Aliases

arxiv: 2605.17629 · arxiv_version: 2605.17629v1 · doi: 10.48550/arxiv.2605.17629 · pith_short_12: AOI5K2A36GFP · pith_short_16: AOI5K2A36GFPLPI5 · pith_short_8: AOI5K2A3

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/AOI5K2A36GFPLPI5IXBW54UG5Z \
  | 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: 0391d5681bf18af5bd1d45c36ef286ee4f7c2b8d6aef9e8a466facb727bea6e5

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "6d41b11b22fb546368fcf68a6bf4324e63aab1c3a41c4f8118932fd461b9ac7e",
    "cross_cats_sorted": [
      "math.IT"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.IT",
    "submitted_at": "2026-05-17T19:50:46Z",
    "title_canon_sha256": "fda994bed5eecdb616a4c4449f918bab16653c6c9cde47b5d3fd3d1f94365136"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17629",
    "kind": "arxiv",
    "version": 1
  }
}