Cognitive Communication and Information
Processing for Smart Wireless Communication
With the rapid increasing of wireless communication devices, radio
spectrum has become the most valuable resource. The lack of additional spectrum
is restricting the high performance wireless communication services. Smart
wireless communication, such as cognitive radio, D2D, etc., is the probable
solution to the current low utilization of the spectrum resource, which can use
the understanding-by-building methodology to learn from the environment and
adapts to the environmental statistical variations with highly reliable
communication and efficient utilization of the radio spectrum. With cognitive communicationand
information processing, the communication system can monitor the complex
electromagnetic environment, detect the available spectrum and transmit data in
idle spectrum adaptively through applying some artificial
intelligence technologies.Topics of
Interest include but are not limited to:
Session Chair
Prof. Xin Liu,
Dalian University of Technology, China
Co-chair
Dr. Feng Li,
Zhejiang University of Technology, China
Satellite
CommunicationsandSeamless Navigation Systems
Recent advances on satellitecommunications and seamless
navigation systems are enabling a plethora of new location based services.
We aim to bring together leading academic scientists, researchers and research
scholars to exchange and share their experiences and research results about hot
topics and aspects of satellite communications and seamless navigation
systems. The organizers are interested in understanding solutions that
address emerging challenges related to satellite communications, 5G technology
based satellite networks and signal processing systems, integrated satellite
communication and navigation, seamless navigation, indoor navigation and indoor
positioning. Topics of
Interest include but are not limited to:
Session Chair
Prof. Zhenyu Na, Dalian Maritime University, China
Co-chair
Prof. Zhian Deng, Dalian Maritime University,
China
Information Fusion for Intelligent Signal Processing and Applications
Information fusion has been identified as a key technique in the areas of target detection,localization and tracking, behavior perception,radar, as well assignal processing.Most times, the selection of a certain system depends on the final application that imposes different constraints, such as accuracy, granularity, coverage area, ease of deployment, calibration and reconfiguration, cost, and etc.The development of information fusion is expected to develop novel indoor localization systems, object tracking, navigation of robots or people, behavior perception, intelligent application based on radar, as well as the positioning strategies and algorithms which can fuse sensors and networks. However, many issues in information fusion including high accuracy, low complexity, robustness, availability, accessibility, configurability, scalability, privacy and security, and etc.,have posed various challenges to the academic and industry. The purpose of this special session is to bring together the academic and industry working on different aspects, exchange ideas, and explore new research directions for addressing the challenges in information fusion. This special session also aims to publish high quality papers which are closely related to various theories and practical applications ininformation fusion to highlight the state-of-art research. Topics of Interest include but are not limited to:
-Information fusion for target detection and tracking
-Information fusion for positioning strategies and algorithms
-Information fusion for signal processing
-Information fusion for behavior perception
-Information fusion for intelligent application based on radar
Session Chair
Prof. Mu Zhou, Chongqing University of Posts and Telecommunications, China
Co-chair
Prof. ZengshanTian, Chongqing University of Posts and Telecommunications, China
Prof. Wei Nie, Chongqing University of Posts and Telecommunications, China
Prof. Xiaolong Yang, Chongqing University of Posts and Telecommunications, China
Prof.LiangboXie, Chongqing University of Posts and Telecommunications, China
International Conference on Communications Signal Processing and Systems 2017
July 14-16 2017, Harbin, China
Swarm
Intelligence (SI) represents a broad set of prototypes simulating the social or
foraging behaviors of a swarm of species for the purpose of problem-solving.
Typical SI for continuous optimization includes particle swarm optimization
(PSO), artificial bee colony, neighbor field optimization, firefly algorithm,
fish school search, etc. So far, SI has been studied for twenty years and many
interesting applications been made. More recently, novel manifestations of SI or
memetic of SI with other approaches such as parallel implementation of SI
algorithms, memetic PSO, etc. These novel algorithms and frameworks have
demonstrated with considerable success in various continuous optimization
problems.
The
aim of this special session is to provide a forum for scholars in this field to
exchange the state of the art in techniques, algorithms, problem modeling and
practice of SI.
Topics
Authors
are invited to submit their unpublished work in the following areas including,
but not limited to:
(1)
Evolutionary SI algorithms,
(2)
Parallel techniques for implementing SI algorithms,
(3)
Self-adaptive SI frameworks,
(4)
Theoretical studies of SI algorithms,
(5)
Data mining and model learning in SI,
(6)
SI for real-world continuous optimization.
Paper Submission
Papers
for the special session should be submitted electronically through the CSPS2017
website at http://www.cspstjnu.com, and will be reviewed by experts in the
fields.
For
more submission information, please visit: http://www.cspstjnu.com.
All
accepted papers will be published in the CSPS 2017 proceedings, and is indexed
by EI Compendex, ISI Proceedings, SCOPUS, Springerlink.
Important Dates:
Paper
submission deadline: May 15th, 2017
Acceptance
notification: June 15th, 2017
Camera
ready paper: July 1st, 2017
Organizer
Xin
Zhang
Tianjin
Normal University, China.
E-mail:
ecemark@mail.tjnu.edu.cn
Zhou
Wu
Chongqing
University, China.
E-mail: wuzhsky@gmail.com
CFP for CSPS 2017 Special Session
Physical-layer
Network Coding and ItsApplications
Network coding is known as a revolutionary
technology because it changes the store-and-forward work mode in the routers
and allows them processing the information to improve system throughput. The
application of network coding in wireless communications is a hot research
area. In the wireless two-way relay communication systems, physical-layer
network coding, as the physical layer form of network coding, has become a hot
topic this years. Physical-layer network coding has attracted so much attention
since it can significantly enhance systems’ throughput. The research about
physical-layer network coding has made a lot of breakthrough progress.This
special session aims to publish high quality papers which are related to
various theories and practical applications in physical-layer network coding.
In addition, other topics in wireless communications such as key technologies
in 5G are welcomed. Topics of interest include but are not limited to:
l Modulation and
demodulation schemes with physical-layer network coding
l Synchronization
issues in physical-layer network coding
l Integrated design of
channel coding and physical-layer network coding
l OFDM in
physical-layer network coding
l MIMO in
physical-layer network coding
l Channel capacity
research about physical-layer network coding
l MAC layer design for
physical-layer network coding
l Channel estimation
and equalization in physical-layer network coding and other wireless
communication systems
l The application of
physical-layer network coding in underwater acoustic communications
l The application of
physical-layer network coding in satellite communications
l The application of
physical-layer network coding in optical communications
l The application of
physical-layer network coding in mobile communications
l The application of
physical-layer network coding in wireless sensor networks
l Key technologies in
5G and other wireless communication systems
Session Chair
Prof. Gongliang Liu, Harbin Institute of Technology,
China
Co-chair
Dr. Bo Li, Harbin Institute of Technology, China
Dr. Hailong Wang, Harbin Institute of Technology, China
Signal
and Information Processing for Weather Radars
Weather radar is an
important tool to detect weather conditions. Doppler weather Radar has been
applied for monitoring of sudden weather and disastrous weather. With
the development of science and technology, higher requirements are put forward
to the detection ability and precision of
weather radar. This leads to the need of enhancement of signal processing performance. In
fact, the concept of weather Radar has been generalized nowadays. For example,
Lidar has been widely applied to the cloud observation. Another progress is the
more and more applications of the millimeter-wave radar in
weather observation. So weather Radar signal and information processing is a research
hotspot. Topics of Interest include but are not limited to:
Session Chair
Prof. Haijiang Wang, Chengdu University of Information
Technology, China
Co-chair
Signal
Transformation and Processing for Non-contact Sensor
With the
development of sensing technology, non-contact sensor has been more and more
widely used. Non-contact sensor has the advantages of no measuring force and no
load effect since it uses physical fields to obtain information. In order to
realize a new non-contact sensing method, physical field signals such as stress
field, magnetic field, or temperature field need to be transformed to each
other. Signal processing is another important technology of non-contact sensor.
Topics of Interest include but are not limited to:
ž Signal
transformation methods of physical field
ž New types
of non-contact sensor and applications
ž Signal
processing for non-contact sensor
ž Magnetic
sensing technology
ž Smart
vision sensor and image processing algorithms
ž Optimization
methods of the traditional non-contact sensor
ž Non-contact
sensor based on multi-physics coupling
Session
Chair
Dr. Yinguo Huang,
Tianjin University, China