pith:SNWO7HP3
Achieving $\alpha$-Fairness in Clustered Cell-Free Networking: A Tight Relaxation Approach
Reformulating the clustering problem as a continuous optimization establishes exact equivalence to the integer program for alpha-fairness across four cases.
arxiv:2605.16960 v1 · 2026-05-16 · cs.IT · math.IT
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Claims
For each case, we establish the exact equivalence between the original integer program and its continuous relaxation, and develop efficient algorithms with guaranteed convergence.
The closed-form deterministic equivalent of the ergodic sum capacity remains accurate enough after the clustering decisions are made that the reformulated continuous problem yields solutions whose true performance matches the claimed fairness and rate gains.
A unified alpha-fairness scheme for clustered cell-free networking is achieved via closed-form deterministic equivalents and tight continuous relaxations that are exactly equivalent to the integer program in four cases of alpha.
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Receipt and verification
| First computed | 2026-05-20T00:03:33.001067Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
936cef9dfbb34dd097eeba8cd59878e8a5ac89d56987f1f063f254e0a244aed9
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/SNWO7HP3WNG5BF7OXKGNLGDY5C \
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Canonical record JSON
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