Guoru Ding

Publications
Influence

Cognitive Internet of Things: A New Paradigm Beyond Connection

Q. Wu, Guoru Ding, +4 authors Keping Long
Computer Science
IEEE Internet of Things Journal
11 March 2014

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

A survey of machine learning for big data processing

Junfei Qiu, Q. Wu, Guoru Ding, Y. Xu, S. Feng
Computer Science
EURASIP J. Adv. Signal Process.
28 May 2016

We present a literature survey of the latest advances in researches on machine learning for big data processing. Expand

Intelligent 5G: When Cellular Networks Meet Artificial Intelligence

Rongpeng Li, Z. Zhao, +4 authors H. Zhang
Computer Science
IEEE Wireless Communications
27 March 2017

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

Two-Dimensional Direction-of-Arrival Estimation for Co-Prime Planar Arrays: A Partial Spectral Search Approach

Q. Wu, Fenggang Sun, Peng Lan, Guoru Ding, Xiaofei Zhang
Computer Science
IEEE Sensors Journal
15 July 2016

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

Byzantine Attack and Defense in Cognitive Radio Networks: A Survey

Linyuan Zhang, Guoru Ding, Q. Wu, Y. Zou, Z. Han, J. Wang
Computer Science, Mathematics
IEEE Communications Surveys & Tutorials
5 April 2015

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

An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

Guoru Ding, Q. Wu, Linyuan Zhang, Yun Lin, T. Tsiftsis, Y. Yao
Computer Science
IEEE Communications Magazine
29 November 2017

In this article, we first present a brief survey to show the state-of- the-art studies on amateur drone surveillance. Expand

Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions

Guoru Ding, Q. Wu, Y. Yao, J. Wang, Yingying Chen
Computer Science
IEEE Signal Processing Magazine
12 June 2013

An overview of Kernel-based learning methods for signal processing-related open issues in cognitive radio networks . Expand

Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing

Q. Wu, Guoru Ding, J. Wang, Y. Yao
Computer Science
IEEE Transactions on Wireless Communications
11 January 2013

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

A survey of cluster-based cooperative spectrum sensing in cognitive radio networks

Long Wang, J. Wang, Guoru Ding, Fei Song, Q. Wu
Computer Science
Proceedings of Cross Strait Quad-Regional Radio…
26 July 2011

In this paper, we provide a review of cluster-based cooperative spectrum sensing and introduce the existing methods. Expand

On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing

Guoru Ding, J. Wang, +4 authors Y. Zou
Computer Science, Mathematics
IEEE Communications Magazine
23 May 2015

We introduce a methodology of using statistical entropy measures and Fano inequality to quantify the degree of predictability underlying real-world spectrum measurements. Expand

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