pith:YROCKBVN
Analysis of Fluid Antenna Systems with Continuous Positioning and Spatial Correlation
A level-crossing-rate framework supplies asymptotically exact approximations and tight bounds for the CDF of the supremum performance metric in fluid antenna systems with continuous positioning under spatial correlation.
arxiv:2605.16920 v1 · 2026-05-16 · eess.SP
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Claims
We develop a level-crossing-rate (LCR) framework that yields asymptotically exact approximations and tight bounds for the cumulative distribution function (cdf) of the optimized metric S* = sup_{0 <= l <= L} S(l).
The spatial correlation model renders exact performance distributions analytically intractable, so that the LCR framework supplies asymptotically exact approximations and tight bounds for the CDF of the supremum metric, including the case where array-element correlation and positional correlation are inherently coupled.
Develops an LCR framework yielding asymptotically exact approximations and bounds for the CDF of the supremum performance metric S* over continuous positions in fluid antenna systems with spatial correlation, including multi-antenna cases with coupled correlations, validated by Monte Carlo.
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Receipt and verification
| First computed | 2026-05-20T00:03:30.507284Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c45c2506ade85167c2be5516f662c30155dfd3135be311090b56fdfa4c90f5ad
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/YROCKBVN5BIWPQV6KULPMYWDAF \
| 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())"
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Canonical record JSON
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