---
title: "Sample-and-Score: Surrogate-Guided Coordinated Spatial Reuse in IEEE 802.11 Networks"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2610.36868v1"
permalink: "https://feed.astralor.com/items/itm_cf1d2fff26cc87c62268606a"
published: "2026-10-27T09:04:53.000Z"
score: 53
channel: "tech"
tags: ["推理效率","Sample-and-Score","Surrogate-Guided Coordinated Spatial","Reuse","IEEE","Networks Coordinated","Co-SR","Coordinated"]
---

# Sample-and-Score: Surrogate-Guided Coordinated Spatial Reuse in IEEE 802.11 Networks

## 速览

Coordinated spatial reuse (Co-SR) in IEEE 802.11bn increases area throughput through simultaneous transmissions, yet the combinatorial configuration space makes real-time optimization challenging. We propose a sample-an…

## 关键点

- Coordinated spatial reuse (Co-SR) in IEEE 802.11bn increases area throughput through simultaneous transmissions, yet the combinatorial configuration space makes real-time optimization challenging.
- We propose a sample-and-score approach: draw random Co-SR configurations, score each with a surrogate model, and select the best.
- The surrogate is trained offline and deployed without online fine-tuning or sequential exploration, yet performs close to multi-armed bandit and heuristic baselines that need multiple interaction steps or extensive meas…

## 全文

Coordinated spatial reuse (Co-SR) in IEEE 802.11bn increases area throughput through simultaneous transmissions, yet the combinatorial configuration space makes real-time optimization challenging. We propose a sample-and-score approach: draw random Co-SR configurations, score each with a surrogate model, and select the best. The surrogate is trained offline and deployed without online fine-tuning or sequential exploration, yet performs close to multi-armed bandit and heuristic baselines that need multiple interaction steps or extensive measurements. On unseen topologies with 2-16 access points, it recovers 52-77% of a perfect surrogate's throughput. A perfect sample-and-score approach reaches 95% of the upper bound throughput with 8192 candidates.

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