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20112025
most citedByzantine Attack and Defense in Cognitive Radio Networks: A Survey

221 citations

Showing cs.NIShow all

8 papers · 1 filter

cs.NI2018★ 4 cited

Deadline-Driven Multi-node Mobile Charging

Xunpeng Rao, Panlong Yang, Haipeng Dai +5

Due to the merit without requiring charging cable, wireless power transfer technologies have drawn rising attention as a new method to replenish energy to Wireless Rechargeable Sen…

cs.NI2018★ 21 cited

Network-Connected UAV Communications: Potentials and Challenges

Haichao Wang, Jinlong Wang, Jin Chen +2

This article explores the use of network-connected unmanned aerial vehicle (UAV) communications as a compelling solution to achieve high-rate information transmission and support u…

cs.NI2018★ 7 cited

Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective

Dianxiong Liu, Yuhua Xu, Jinlong Wang +5

For large unmanned aerial vehicle (UAV) networks, the timely communication is needed to accomplish a series of missions accurately and effectively. The relay technology will play a…

cs.NI2017★ 17 cited

Distributed Relay Selection for Heterogeneous UAV Communication Networks Using A Many-to-Many Matching Game Without Substitutability

Dianxiong Liu, Yuhua Xu, Yitao Xu +4

This paper proposes a distributed multiple relay selection scheme to maximize the satisfaction experiences of unmanned aerial vehicles (UAV) communication networks. The multi-radio…

cs.NI2016★ 7 cited

The Learning and Prediction of Application-level Traffic Data in Cellular Networks

Rongpeng Li, Zhifeng Zhao, Jianchao Zheng +3

Traffic learning and prediction is at the heart of the evaluation of the performance of telecommunications networks and attracts a lot of attention in wired broadband networks. Now…

cs.NI2015★ 146 cited

On the Limits of Predictability in Real-World Radio Spectrum State Dynamics: From Entropy Theory to 5G Spectrum Sharing

Guoru Ding, Jinlong Wang, Qihui Wu +4

A range of applications in cognitive radio networks, from adaptive spectrum sensing to predictive spectrum mobility and dynamic spectrum access, depend on our ability to foresee th…