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20172026
most citedArtificial Intelligence-Enabled Intelligent 6G Networks

598 citations · 682 across the 11 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.NI2019★ 598 cited

Artificial Intelligence-Enabled Intelligent 6G Networks

Helin Yang, Arokiaswami Alphones, Zehui Xiong +3

With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projecti…

cs.AI2019★ 10 cited

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning

Haodi Zhang, Zihang Gao, Yi Zhou +3

Deep reinforcement learning has been successfully used in many dynamic decision making domains, especially those with very large state spaces. However, it is also well-known that d…

cs.LG2019

Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems

Ahmed B. Zaky, Joshua Zhexue Huang, KaishunWu +1

Spectrum management and resource allocation (RA) problems are challenging and critical in a vast number of research areas such as wireless communications and computer networks. The…

cs.NI2019

Enhanced Energy-Efficient Downlink Resource Allocation in Green Non-Orthogonal Multiple Access Systems

Rukhsana Ruby, Shuxin Zhong, Derrick Wing Kwan Ng +2

Despite numerous advantages, non-orthogonal multiple access (NOMA) technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of…

cs.SE2019

Detecting and Diagnosing Energy Issues for Mobile Applications

Xueliang Li, Yuming Yang, Yepang liu +2

Energy efficiency is an important criterion to judge the quality of mobile apps, but one third of our randomly sampled apps suffer from energy issues that can quickly drain battery…