IEEE Transactions on Network Science and Engineeri

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

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[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes HierTask, a hierarchical task-centric routing framework. It achieves robust communication and efficient global-local balancing via dynamic task-specific clustering and hierarchical reinforcement learning!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a cooperative jamming-aided relay power allocation and pricing strategy. It achieves guaranteed EPC network QoS and significantly improved macrocell transmission security and profitability via a Stackelberg game!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a dual-branch RegNet framework for position-aware beam prediction. It achieves robust, accurate beam alignment across multiple urban scenarios by adaptively fusing location-related features and beam-domain data!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a semantic-aware PAPR reduction framework. It achieves a 3.18 dB improvement in PSNR while maintaining low-PAPR transmission by jointly optimizing semantic importance, side information, and PAPR-aware power allocation!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work develops the SVWIT analytical framework based on synonymous variational inference. It achieves improved perceptual reconstruction and generalization by deriving an SVLBO and designing a multi-level encoding-decoding system!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/z0slnIyq4O

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes LLM4CoT, which leverages pre-trained LLMs within a unified, parameter-efficient Meta-Adapter framework. It achieves competitive sum-rates by leveraging causal dependencies!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/gvVX94g8p7

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes an integrated defense framework utilizing graph Laplacian and a DC-PPO reinforcement learning algorithm. It achieves significantly reduced infection rates and control costs!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/HcOvnxrWfL

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes an environment-aware IRS deployment strategy leveraging the channel knowledge map (CKM). It achieves minimized system costs while fully satisfying sensing and communication requirements!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/ePep77j3Pw

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a hybrid semantic-traditional communication architecture with interpretable switching thresholds. It achieves optimal system efficiency by adaptively coordinating communication, computation, and caching resources!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/El9sB9llZE

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a probabilistic delay model for repeaters performing purification and swapping. It achieves analytical derivations of end-to-end entanglement delivery time and qubit decoherence probabilities!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/giwXSeHmfb

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes an approximate stable framework utilizing MAB-guided adaptive large neighborhood search. It achieves an improved trade-off among system utility, matching stability, skill satisfaction, and spatial coverage!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/wDzv09y3z9

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a causality-aware dual-graph neural network. It achieves explicitly aligned forecasting representations by fusing adaptive spatial-temporal and Transfer Entropy-based causal graphs via contrastive learning!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/QfzV3MCq0f

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a reinforcement learning-based reverse auction mechanism for budget-constrained ordered submodular optimization. It achieves improved service provider utility while preserving truthfulness and budget feasibility!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/ox4JvFBSKn

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a novel Transformer-based actor-critic reinforcement learning framework. It achieves improved scalability, higher service acceptance rates, and efficient resource utilization by leveraging self-attention!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/Z1f2rvruPr

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes an RSS-driven adaptive access framework using an attention-augmented multi-agent TD3 algorithm. It achieves an optimal trade-off among sum rate, energy consumption, and coverage!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/jalxeJxiWa

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes the Q-Kalman framework utilizing the Quantile Central Limit Theorem. It achieves proactive, constant-time control, reducing SLA violation risks by up to 78% while maintaining high resource utilization!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/ztexe8p5Uu

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a two-layer SIR reaction-diffusion model and a dual-intervention optimal control strategy. It achieves over 96% reduction in infected nodes and cuts control costs by 91.93% while capturing spatial heterogeneity!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/dtvrQAWIOE

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a hierarchical stable relay selection framework driven by coalition and matching games. It achieves distributed, stable routing, outperforming baselines by up to 90.61% in cross-domain scenarios!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/jFxhPdl150

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes the ParaSC generative semantic communication framework utilizing GANs. It achieves significantly reduced bandwidth consumption and efficiently generates target models from extracted semantics!

Paper coming soon📄

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

Update: The full paper is now available online. You can access it via the following link:
🔗https://t.co/ORVD6KRXiZ

[IEEE Transactions on Network Science and Engineeri @IEEE_TNSE]

🚀Upcoming in TNSE!

This work proposes a UAV-assisted framework featuring a three-stage UEMT mechanism. It achieves robust train-approach detection, ensuring reliable performance even under challenging illumination and backgrounds!

Paper coming soon📄