• Publications
  • Influence
Cognitive Internet of Things: A New Paradigm Beyond Connection
TLDR
We propose a new paradigm, named cognitive Internet of Things (CIoT), to empower the current IoT with a “brain” for high-level intelligence, to enable general objects to learn, think, and understand both physical and social worlds by themselves. Expand
  • 356
  • 23
  • PDF
A survey of machine learning for big data processing
TLDR
We present a literature survey of the latest advances in researches on machine learning for big data processing. Expand
  • 328
  • 12
Intelligent 5G: When Cellular Networks Meet Artificial Intelligence
TLDR
We introduce fundamental concepts in AI and discuss the relationship between AI and the candidate techniques in 5G cellular networks and demonstrate the effectiveness of AI to manage and orchestrate cellular network resources. Expand
  • 239
  • 11
Two-Dimensional Direction-of-Arrival Estimation for Co-Prime Planar Arrays: A Partial Spectral Search Approach
TLDR
In this paper, we investigate the issue of 2-D direction-of-arrival (DOA) estimation of multiple signals in co-prime planar arrays, where phase ambiguity problem arises due to the large distance between adjacent elements for each subarray. Expand
  • 56
  • 11
Byzantine Attack and Defense in Cognitive Radio Networks: A Survey
TLDR
The Byzantine attack in cooperative spectrum sensing (CSS), also known as the spectrum sensing data falsification (SSDF) attack in the literature, is one of the key adversaries to the success of cognitive radio networks (CRNs). Expand
  • 159
  • 7
  • PDF
An Amateur Drone Surveillance System Based on the Cognitive Internet of Things
TLDR
In this article, we first present a brief survey to show the state-of- the-art studies on amateur drone surveillance. Expand
  • 157
  • 6
  • PDF
Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions
TLDR
An overview of Kernel-based learning methods for signal processing-related open issues in cognitive radio networks . Expand
  • 160
  • 5
  • PDF
Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing
TLDR
This paper investigates the issue of spatial-temporal opportunity detection for spectrum-heterogeneous cognitive radio networks, where at a given time secondary users (SUs) at different locations may experience different spectrum access opportunities. Expand
  • 191
  • 5
A survey of cluster-based cooperative spectrum sensing in cognitive radio networks
TLDR
In this paper, we provide a review of cluster-based cooperative spectrum sensing and introduce the existing methods. Expand
  • 31
  • 5
On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing
TLDR
We introduce a methodology of using statistical entropy measures and Fano inequality to quantify the degree of predictability underlying real-world spectrum measurements. Expand
  • 87
  • 4
  • PDF
...
1
2
3
4
5
...