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QoE-Driven Multimodal Multi-Agent NDN-Enabled Blockchain Framework for Adaptive 6G Communication Networks

2026 · IEEE Open Journal of the Communications Society · Vol 7, pp. 9766-9782 · 1 citation · 35 references

TL;DR

Experimental results demonstrate significant reductions in end-to-end latency, redundant traffic transmission, and synchronization overhead, while improving caching efficiency, traffic utilization, and adaptive content dissemination performance compared with conventional IP-based blockchain communication systems.

Abstract

Sixth-generation (6G) communication networks are expected to support immersive, intelligent, and latency-sensitive applications that require scalable, secure, and adaptive communication infrastructures. However, conventional IP-based blockchain systems suffer from significant communication overhead, redundant data dissemination, synchronization delays, and limited scalability, which hinder their applicability in dynamic 6G environments. To address these challenges, this paper proposes a Quality of Experience (QoE)- driven multimodal multi-agent Named Data Networking (NDN)-enabled blockchain framework for adaptive 6G communication systems. The proposed architecture integrates content-centric networking, in-network caching, multicast dissemination, and blockchain-based decentralized trust management to improve communication efficiency and scalability. Furthermore, the framework incorporates multimodal data fusion, cooperative multi-agent coordination, QoE-aware adaptive learning, and federated edge intelligence to enable intelligent and user-centric communication optimization. A distributed peer-to-peer overlay and optimized NDN-based communication protocols are designed to support efficient blockchain synchronization while maintaining interoperability with existing Ethereum infrastructures. The proposed framework is evaluated using ndnSIM, NS-3, and a modified Go-Ethereum client across multiple distributed network topologies. Experimental results demonstrate significant reductions in end-to-end latency, redundant traffic transmission, and synchronization overhead, while improving caching efficiency, traffic utilization, and adaptive content dissemination performance compared with conventional IP-based blockchain communication systems. The results validate the effectiveness of integrating NDN, blockchain, multimodal intelligence, and distributed adaptive coordination to establish a scalable, secure, and QoE-aware foundation for future intelligent 6G communication ecosystems.

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