6G SD-RANにおける動的VRスライス管理のためのプライバシー意識型エージェント協調
原題: Privacy-Aware Agent Collaboration for Dynamic VR Slice Management in 6G SD-RAN
分析結果
- カテゴリ
- 雇用
- 重要度
- 54
- トレンドスコア
- 13
- 要約
- 6Gネットワークにおけるバーチャルリアリティ（VR）サービスには、超低遅延と高スループットが求められ、ソフトウェア定義無線アクセス（SD-RAN）において重要な課題となっています。本研究では、プライバシーを考慮したエージェントの協調による動的なVRスライス管理の手法を提案し、効率的なリソース配分とユーザー体験の向上を目指します。
- キーワード
arXiv:2606.26123v1 Announce Type: cross Abstract: Ultra-low latency and high throughput are required for Virtual Reality (VR) services in 6G networks, which presents critical challenges for Software-Defined Radio Access Networks (SD-RANs) dynamic resource management. This work propose a mobility-driven, privacy-aware Multi-Agent Reinforcement Learning (MARL) framework for VR slice management, in which cooperative agents maximize resource distribution over end-to-end VR links while protecting the privacy of user data. Our approach incorporates mobility prediction and an information bottleneck encoder to facilitate effective and secure agent collaboration. In simulations, comparisons with traditional methods are studied which show up to 34\% throughput improvement, 28\% fewer resources, and 85\% less privacy leakage, guaranteeing dependable immersive VR experiences in future 6G environments. arXiv:2606.26123v1 Announce Type: cross Abstract: Ultra-low latency and high throughput are required for Virtual Reality (VR) services in 6G networks, which presents critical challenges for Software-Defined Radio Access Networks (SD-RANs) dynamic resource management. This work propose a mobility-driven, privacy-aware Multi-Agent Reinforcement Learning (MARL) framework for VR slice management, in which cooperative agents maximize resource distribution over end-to-end VR links while protecting the privacy of user data. Our approach incorporates mobility prediction and an information bottleneck encoder to facilitate effective and secure agent collaboration. In simulations, comparisons with traditional methods are studied which show up to 34\% throughput improvement, 28\% fewer resources, and 85\% less privacy leakage, guaranteeing dependable immersive VR experiences in future 6G environments.