ICCCN 2013 – Track on Cognitive, Cellular, and Heterogeneous Wireless Networks (CCHN)
With the proliferation of smart handheld devices, mobile data is projected to grow 26 fold for the next 5 years. Coupled with emerging machine-to-machine communications, there is a pressing need to drastically improve the current network capacity and architecture. We believe traditional cellular networks must be more adaptive and intelligent, e.g. adaptive to different types of spectrum (white space or dedicated) and traffic patterns. They must also interconnect with other wireless networks such as WiFi and mesh, etc to support a wide range of applications.
Track Topics
- Novel cellular network architectures
- Seamless heterogeneous wireless networks
- Dynamic spectrum access wireless networks
- Cognitive radio networks
- Wireless programming paradigms and middleware technologies
- Mobility management and modeling
- Wireless infrastructure planning and deployment
- Lessons learned from long-term deployment experiences of wireless technologies
- Radio access technologies and evolution
- Rich context inference & context-aware services
- Intelligent environments for pervasive computing
- Wireless sensor networks
- RFID technologies
- Energy-efficient protocol design
- Wireless MAC, routing and transport layer protocols
- Cross-layer design and optimization
- Channel allocation algorithms
- Wireless network coding
Track Organizing Committee
Track Chairs:
- Kai Zeng, University of Michigan, USA
- Shiwen Mao, Auburn University, USA
Track Technical Program Committee:
- Alireza Babaei, Virginia Tech, USA
- An Chan, Broadcom Corporation, USA
- Wei Chen, Tsinghua University, China
- Wei Cheng, University of California, Davis, USA
- Donglin Hu, Auburn University, USA
- Sha Hua, Polytechnic Institute of New York University, USA
- Yingsong Huang, Auburn University, USA
- Yiming Ji, University of South Carolina Beaufort, USA
- Canming Jiang, Cisco Systems, USA
- Dong Hoi Kim, Kangwon National University, South Korea
- Ming Li, Utah State University, USA
- Pan Li, Mississippi State University, USA
- Haiyang Liu, Honeywell Labs, USA
- Wei Liu, Huazhong University of Science and Technology, China
- Haiyan Luo, Cisco Systems, USA
- Allen MacKenzie, Virginia Tech, USA
- Petri Mähönen, RWTH Aachen University, Germany
- Shiwen Mao, Auburn University, USA
- Alexander Min, Intel Corporation, USA
- Brendan Mumey, Montana State University, USA
- Eunsung Oh, KonKuk University, South Korea
- Daji Qiao, Iowa State University, USA
- Kyung-Joon Park, DGIST, South Korea
- Roberto Rojas-Cessa, New Jersey Institute of Technology, USA
- Yanming Shen, Dalian University of Technology, China
- Yi Shi, Intelligent Automation Inc., USA
- Xin Su, Tsinghua University, China
- Violet Syrotiuk, Arizona State University, USA
- Chee Wei Tan, City University of Hong Kong, Hong Kong
- Wee Peng Tay, Nanyang Technological University, Singapore
- Haris Volos, University of Arizona, USA
- Honggang Wang, University of Massachusetts, Dartmouth, USA
- Richard Wolff, Montana State University, USA
- Fan Wu, Shanghai Jiao Tong University, China
- Shaoen Wu, University of Southern Mississippi, USA
- Weidong Xiang, University of Michigan - Dearborn, USA
- Jing Xu, Huazhong University of Science and Technology, China
- Qing Yang, Montana State University, USA
- Kai Zeng, University of Michigan - Dearborn, USA
- Baoxian Zhang, Graduate University of the Chinese Academy of Sciences, China
- Hongwei Zhang, Wayne State University, USA
- Jin Zhang, Hong Kong University of Science and Technology, China
- Yaxiong Zhao, Amazon.com Inc, USA
- Youping Zhao, Beijing Jiaotong University, China
- Sheng Zhou, Tsinghua University, China
- Weiying Zhu, Metropolitan State University of Denver, USA
- Yingying Chen, Stevens Institute of Technology, USA
- Donghyun Kim, North Carolina Central University, USA
- Pasquale Pace, DIMES - University of Calabria, Italy
Important Dates
Camera-Ready Due | May 13, 2013 |
Registration Due |
Submission Link
Please note the submission guideline (http://icccn.org/icccn13/author.html) for ICCCN 2013.
Submission link on EDAS: http://edas.info/newPaper.php?c=13243