会議情報

EAI MONAMI 2027: EAI International Conference on Mobile Networks and Management

投稿締切日:
2027-01-18 残り 64 日
通知日:
2027-02-18
開催日:
2027-04-18
開催地:
Chongqing, China
開催回数:
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会伴インデックス (CP-I)

53.1 / 100
全 5,777 件中 第 1,133 位 · 上位 20%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
76
コミュニティの注目度 (10%)
21
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：16 · 会伴でフォローしている研究者：2 人 · 過去 24 か月にこのページを開いた研究者：3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-11-14

論文募集

EAI MONAMI 2027 (EAI International Conference on Mobile Networks and Management) is an academic conference held in Chongqing, China on 2027-04-18. The paper submission deadline is 2027-01-18. Acceptance notifications are sent on 2027-02-18.

Scope The next generation of smart cities is entering an era of AI-native mobile networking, where intelligence is no longer an add-on component but an intrinsic property of communication infrastructures. The convergence of 6G networks, distributed edge intelligence, large-scale foundation models, and cyber-physical systems is reshaping how cities sense, decide, and act. MONAMI 2027 aims to explore the theoretical foundations, system architectures, and real-world applications of AI-driven mobile networks that enable autonomous, sustainable, and trustworthy urban intelligence. With the emergence of 6G, communication networks are evolving into fully integrated sensing-communication-computing-intelligence (SCCI) platforms. These networks support ultra-low latency, extreme reliability, semantic-aware communications, and AI-native air interfaces, enabling real-time coordination across massive heterogeneous devices. Intelligent network management powered by self-evolving learning frameworks, digital twins, and intent-driven orchestration enables autonomous network optimization and dynamic service provisioning. Recent advances in foundation models, multimodal large models, and generative AI are accelerating the development of cognitive urban systems. These technologies support semantic communication, human-centric service interaction, automated urban governance, and context-aware resource allocation. AI-native networking integrates federated learning, distributed intelligence, and multi-agent collaboration to enable scalable and privacy-preserving decision-making across complex urban environments. Edge intelligence and collaborative AI play a critical role in supporting real-time applications such as autonomous mobility, drone networks, smart grids, intelligent healthcare, immersive services (XR), and resilient disaster response systems. The integration of blockchain, trusted execution environments, and privacy-enhancing technologies strengthens the security and trustworthiness of urban data ecosystems. Meanwhile, digital twin cities enable predictive modeling, simulation-based optimization, and sustainable urban planning. MONAMI 2027 welcomes contributions that address the design, modeling, implementation, and evaluation of next-generation mobile networks and management frameworks supporting intelligent and autonomous urban systems. Topics AI-Native Mobile Networks 6G-native intelligence and AI-driven air interface design Semantic communications and goal-oriented networking Foundation models for network optimization and management Self-evolving and intent-driven network orchestration AI-powered network slicing and resource allocation Autonomous and Distributed Urban Intelligence Multi-agent systems for smart city coordination Federated and decentralized learning in mobile environments Swarm intelligence and distributed control Edge-cloud collaborative AI frameworks AI-enabled real-time service provisioning Integrated Sensing, Communication, and Computing Joint communication and sensing (JCAS) in 6G Context-aware networking and spatial intelligence Digital twins for mobile networks and smart cities Cyber-physical system integration Security, Trust, and Privacy Blockchain-enabled mobile network management Privacy-preserving AI and secure federated learning Trusted AI models for critical urban infrastructure Resilient and fault-tolerant intelligent networks Intelligent Applications and Urban Systems Autonomous transportation and vehicle–infrastructure cooperation Smart energy systems and sustainable infrastructure Intelligent healthcare and emergency response Immersive communication and XR-enabled services AI-driven environmental monitoring and climate resilience Sustainability and Green Networking Energy-efficient AI models for mobile networks Carbon-aware resource management Sustainable 6G architectures Green edge intelligence
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