Signal and Information Processing, Networking and Computers Proceedings of the 1st International Congress on Signal and Information Processing, Networking and Computers (Icsinc 2015), October 17-18, 2015 Beijin

414 Pages·2016·65.602 MB·English

by  Na Chen, Tingting Huang

Editors Signal and Information Processing,
Chen
Huang Networking and Computers
Editors: Na Chen & Tingting Huang
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Conference on Signal and Information Processing, Networking and Computers (ICSINC e ig
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SIGNAL AND INFORMATION PROCESSING, NETWORKING
AND COMPUTERS
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PROCEEDINGS OF THE 1ST INTERNATIONAL CONGRESS ON SIGNAL AND INFORMATION
PROCESSING, NETWORKING AND COMPUTERS (ICSINC 2015), BEIJING, CHINA,
17–18 OCTOBER 2015
Signal and Information
Processing, Networking
and Computers
Editors
Na Chen & Tingting Huang
Beijing University of Posts and Telecommunications, China
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CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business
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ISBN: 978-1-138-02881-4 (Hbk)
ISBN: 978-1-315-64880-4 (eBook PDF)
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Signal and Information Processing, Networking and Computers – Chen & Huang (Eds)
© 2016 Taylor & Francis Group, London, ISBN 978-1-138-02881-4
Table of contents
Preface ix
The first international conference on signal and information processing,
networking and computers
Pilot decontamination in a massive MIMO system: Exploiting pilot sequence hopping 3
Y. Li, X. Jing, S. Sun & H. Huang
A novel 3D multivariate data visualization method 9
F. Hou, H. Huang & X. Jing
A fast CU depth decision algorithm based on learning how to use machines 17
L. Wang, X. Jing, S. Sun & H. Huang
Kernel-based learning technique for Cooperative Spectrum Sensing in Cognitive Radio 27
X. Chen, X. Jing, S. Sun, H. Huang, X. Wang & D. Chen
Future mobile network: A framework for enabling SDN in mobile operator networks 35
X. Xia, Z. Sun, H. Zhao, F. Shi, C. Mao, Q. Sun, L. Cao, B. Wang,
S. Zhang & A. de Boer
A novel Continuous Action-set Learning Automaton algorithm 43
Y. Guo, H. Ge, Y. Yan, Y. Huang & S. Li
Full-Duplex Relay based on GMD block diagonalization in MIMO relay systems 49
Y. Wang, X. Zhang & D. Yang
An effective and scalable algorithm for hybrid recommendation based on Learning To Rank 59
P. He, H. Yuan, J. Chen & C. Zhao
A Joint Source Channel Coding scheme based on environment vector clustering
over WiFi channels 69
T. Huang, S. Sun, Y. Guo, N. Chen & Z. Zhou
A robust topology control algorithm for channel allocation in the Cognitive
Radio Ad Hoc networks 77
Y. Chen, X. Jing & H. Huang
Adaptive spread spectrum audio watermarking based on data redundancy analysis 83
R. Li, S. Xu, B. Rong & H. Yang
A graph coloring based resource allocation in Heterogeneous Networks 91
Z. Ye, X. Jing & H. Huang
Time drift detection in process mining 99
H. Che, Q. Machu & Y. Zhou
Spectrum sensing for cognitive radio systems with unknown non-zero-mean noise 109
M. Sun, T. Tian, C. Zhao & B. Li
A secure fuzzy-based cluster head election algorithm for Wireless Sensor Networks 115
J. Shi & X.N. Han
v
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Using game theory to optimize GOP level rate control in HEVC 123
J. Zhu, S. Sun & Y. Guo
Reinforcement learning based cooperative sensing policy in Cognitive Radio network 131
X. Ye, X.J. Jing, S. Sun, Y. Li, X. Wang & D. Cheng
A combined BD-SO precoding scheme for next generation HetNets 139
D. Lu, J. Sun & C. Qian
Secure transmission with Artificial Noise in heterogeneous massive MIMO network 147
C. Li, S. Sun, W. Liu & H. Huang
User scheduling algorithm based on Null-Space precoding scheme for
heterogeneous networks 157
Q. Zhou, C. Fu & M. Lu
Risk assessment method of multidimensional AHP based on SoS architecture 167
Y. Huang, H. Yan, Y. Zheng & C. Zhao
Line outage identification based on partial measurement of
Phasor Measurement Unit (PMU) 175
J. Guo, T. Yang, H. Feng & B. Hu
Mitigating Primary User Emulation attacks in Cognitive Radio networks
using advanced encryption standard 185
H. Jiang, X.J. Jing, S. Sun, H. Huang, Y. Li, X. Wang & D. Cheng
Research and realization of music recommender algorithm based on
hybrid collaborative filtering 195
H. Che & Z. Wang
Research of AdaBoost robustness based on Learning Automata 203
S. An, Y. Guo, X. Guo, Y. Yan & S. Li
On applying Confidence Interval Estimator to the pursuit learning schemes: Various
algorithms and their comparison 209
H. Ge, J. Li, S. Li, Y. Yan & Y. Huang
Modified HARQ and ARQ for LTE broadcast 215
X.P. Zhu, D.C. Yang, J. Wang, X.X. Zhang & J.Q. Zhang
Secure transmission with Artificial Noise in massive MIMO systems 223
Z. Ma, S. Sun & X. Zhang
Parameter estimation of 60-GHz millimeter wave communications using
the nonlinear Power Amplifier based on PSO algorithm 233
M. Zhang, X. Sun, Z. Zhou, Y. Xing & Z. Zhang
The ICSINC2015 workshop on telecom big data based research and application
Analytical method of gridding user perception and market development
based on big data 243
M. Li, J. Yuan & J. Xu
WCDMA data based LTE site selection scheme in LTE deployment 249
L. Xu, Y. Luan, X. Cheng, X. Cao, K. Chao, J. Gao, Y. Jia & S. Wang
A novel LTE network deployment scheme using telecom big data 261
T. Zhang, X. Cheng, L. Xu, X. Cao, M. Yuan & Y. Wang
Five-dimension labeled 4G user immigration model based on big data analysis 271
H. Zhang, L. Zhang, C. Song & X. Cheng
vi
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Telecom big data based investment strategy of value areas 281
M. Mu, Y. Wang & W. Chen
A Coverage of Self-Optimization Algorithm using big data analytics
in WCDMA cellular networks 289
J. Gao, X. Cheng, L. Xu, L. Cao & K. Chao
A user perception based value-added service strategy for 4G mobile networks 299
L. Cao, Y. Zhou, X. Cheng, K. Chao & M. Yuan
Big data assisted value areas of mobile internet 307
C. Song, X. Cheng, H. Zhang & Y. Jia
Spectrum allocation based on data mining in heterogeneous cognitive wireless networks 315
C. Cheng, X. Cheng, M. Yuan, L. Xu, S. Zhou, J. Guan & T. Zhang
Big data based mobile terminal performance evaluation 329
C. Song, Y. Jia, X. Cheng & X. Liu
Human visual system based interference management method for
video applications in LTE-A 337
S. Zhou, X. Cheng, M. Yuan & C. Cheng
A novel complaint calls handle scheme using big data analytics in mobile networks 347
Y. Wang, X. Cheng, L. Xu, J. Guan, T. Zhang & M. Mu
A novel big data based problematical sectors detection algorithm in WCDMA networks 357
P. Ren, X. Cheng, L. Xu, M. Yuan & K. Chao
Big data assisted human traffic forewarning in hot spot areas 367
Y. Jia, K. Chao, X. Cheng, T. Zhang & W. Chen
A novel big data based Telecom User Value Evaluation method 375
K. Chao, P. Wang, L. Xu, D. Wu, X. Cheng & M. Mu
A novel Big Data based Telecom Operation architecture 385
X. Cheng, L. Xu, T. Zhang, Y. Jia, M. Yuan & K. Chao
Mining characteristics of a 4G cellular network based on big data analysis 397
G. Li & Q. Fan
Author index 403
vii
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Signal and Information Processing, Networking and Computers – Chen & Huang (Eds)
© 2016 Taylor & Francis Group, London, ISBN 978-1-138-02881-4
Preface
The First International Conference on Signal and Information Processing, Networking and
Computers (ICSINC) focuses on the key technologies and challenges of signal and informa-
tion processing schemes, network application, computer theory and application, and so on.
The ICSINC2015 Workshop on Telecom Big Data based Research and Application (IWT-
BDRA) promotes the in-depth exploration of the most recent research and development
findings on the basis of telecom big data. This telecom big data workshop welcomes the
participation of the industry to showcase and commercialize their relevant technology and
application as well as products. This book embraces a variety of research studies presented at
the International Conference on Signal and Information Processing, Networking and Com-
puters (ICSINC), held in Beijing, China, October 17–18 2015. The research areas are a con-
vergence of the similarity with both algorithms and applications. The current state and trend
of signal processing were exchanged in this conference.
48 papers were selected for publication in the proceedings. Each of the papers submitted
to the conference was peer reviewed by at least two specialists in the author’s research field. A
paper typically goes through at least one revision cycle before being accepted for publication.
The authors of the papers published in this book have enabled future investigators to gain
ready access to the results of their research. Some highlights in this book:
– Software Defined Network, e.g. analyzing the requirements of future mobile Internet and
illustrate the restrictions of using SDN in mobile operator networks to bypass the restric-
tions and address the challenges.
– Internet Application, e.g. a formal model based on learning to rank for hybrid recom-
mendation that integrates diversity and the representation of diversity features by using
entropy based on attributes of users and items.
– Signal Processing in Networked Systems, e.g. an algorithm that focuses on assigning
channels to bring a high connectivity of the whole network while maintaining a robust
network at the same time.
– Spectrum Estimation and Modeling, e.g. a new algorithm based on deep Q-learning for
the channel selection model of a Secondary User (SU) with reconfigurable RF front-ends.
The algorithm could help SU to select the channel for the maximum cumulative reward.
– Spectrum Shaping and Filters, e.g. an adaptive spread spectrum method or effective embed-
ding and detection of audio watermarking. The method introduces audio data redun-
dancy analysis at the watermark receiver to achieve enhanced extraction performance.
– Information Theory and Statistics, e.g. a method extracts time-related characteristics from
processes and then compares all of them together by using statistical hypothesis tests in
different successive populations. Such a method could not only allow accurate detection
when some parts of the processes started to have abnormal behavior: longer or shorter,
but also enable identification of which parts are involved.
– WCDMA Data, e.g. a novel WCDMA data based LTE site selection (WDLSS) scheme.
The WDLSS scheme analyses five factors of existing WCDMA sites, including the height,
the density, the signal power, the coverage control and the interference.
– Big Data Assisted Telecom Operation, e.g. logistic regression and neural network respec-
tively identify the 2G/3G users who are most likely to immigrate to a 4G network.
– Big Data Analysis of Network Quality and Performance, e.g. a coverage self-optimization
algorithm (CSOA) based on big data analytics, by obtaining and analyzing the counters
(records the performance indicators of networks) from existing network.
ix
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