Pith Number

pith:5GAY53YJ

pith:2026:5GAY53YJV6NU63YYGOF4YVPE2W

not attested not anchored not stored refs resolved

A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN

Gabriele Gemmi, Michele Polese, Tommaso Melodia

GPU-based RAN hardware can deliver up to 8x return on investment by leasing idle capacity to AI inference workloads.

arxiv:2603.28680 v3 · 2026-03-30 · cs.NI

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\usepackage{pith}
\pithnumber{5GAY53YJV6NU63YYGOF4YVPE2W}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

across a range of scenarios encompassing token depreciation, varying demand dynamics, and diverse GPU serving densities, the additional capital and operational expenditures of GPU-heavy deployments are offset by AI-on-RAN revenue, yielding a return on investment of up to 8x.

C2weakest assumption

Publicly available benchmarks of 5G Layer-1 processing on heterogeneous platforms combined with realistic traffic models and AI service demand profiles for LLM inference form an accurate foundation for the joint cost and revenue projections.

C3one line summary

Techno-economic framework shows that GPU AI-RAN deployments can offset extra costs via AI revenue for up to 8x ROI across scenarios with varying token depreciation, demand, and GPU densities.

References

45 extracted · 45 resolved · 0 Pith anchors

[1] Global mobile trends 2023 2023

[2] The economic potential of generative AI: The next productivity frontier 2023

[3] BurstGPT: A real-world workload dataset to optimize LLM serving systems 2025 · doi:10.1145/3711896.3737413

[4] Beyond connectivity: An open architecture for AI-RAN convergence in 6G 2025

[5] Industry leaders form AI-RAN alliance 2024

Receipt and verification

First computed	2026-05-20T00:00:37.266746Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e9818eef09af9b4f6f18338bcc55e4d5b262b9f60d31d8ba673656620c716b50

Aliases

arxiv: 2603.28680 · arxiv_version: 2603.28680v3 · doi: 10.48550/arxiv.2603.28680 · pith_short_12: 5GAY53YJV6NU · pith_short_16: 5GAY53YJV6NU63YY · pith_short_8: 5GAY53YJ

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/5GAY53YJV6NU63YYGOF4YVPE2W \
  | 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: e9818eef09af9b4f6f18338bcc55e4d5b262b9f60d31d8ba673656620c716b50

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a6b2e6184ac38ab65dd94627fe3b0811a5cb54c3229142701101f1569558ddb0",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NI",
    "submitted_at": "2026-03-30T16:59:15Z",
    "title_canon_sha256": "ec9be30194e4c6674e82784cf352e906d6b565dc1bf42ac938271fa69c349736"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.28680",
    "kind": "arxiv",
    "version": 3
  }
}