CCM 2014 - Track on Cognitive, Cellular and Mobile Networks (CCM)

With the proliferation of smart handheld devices, mobile data is projected to grow drastically in the next few years. Coupled with emerging machine-to-machine communications, there is a compelling need to significantly improve the current network capacity and architecture. To meeting this challenge, 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 coexisting wireless networks such as Wi-Fi, wireless mesh network, femtocells and small cells, 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
Wireless sensor networks
Wireless mesh networks
RFID technologies
Energy-efficient protocol design
Wireless MAC, routing and transport layer protocols
Cross-layer design and optimization
Wireless data offloading
Wireless network coding
Device to Device communication
Communication Interference control
Performance measurement
Track Organizing Committee
Track Chairs:
Shiwen Mao, Auburn University, USA
Honggang Wang, University of Massachusetts Dartmouth, USA
Track Technical Program Committee:
Yihan Li, Auburn University, USA
Alireza Babaei, Virginia Tech, USA
Richard Wolff, Montana State University, USA
Weidong Xiang, University of Michigan , USA
Husheng Li, The University of Tennessee, USA
Qing Yang, Montana State University, USA
Brendan Mumey, Montana State University, USA
Yingying Chen, Stevens Institute of Technology, USA
Ming Li, Utah State University, USA
Yanxiao Zhao, South Dakota School of Mines and Technology, USA
Donghyun Kim, North Carolina Central University, USA
Roberto Rojas-Cessa, New Jersey Institute of Technology, USA
Shaoen Wu, University of Southern Mississippi, USA
Yanming Shen, Dalian University of Technology, China
Youping Zhao, Beijing Jiaotong University, China
Chee Wei Tan, City University Hong Kong, Hong Kong
Wei Cheng, Virginia Commonwealth University, USA
Kai Zeng, University of Michigan, USA
Pan Li, Mississippi State University, USA
Jie Zeng, Tsinghua university, China
Canming Jiang, Cisco Systems, USA
Ting Zhu, Binghamton University, USA
Xiaohua Xu, Illinois Institute of Technology, USA
Hua Mu, Auburn University, USA
Pasquale Pace, University of Calabria, Italy
Yingsong Huang, Auburn University, USA
Eunsung Oh, Hanseo University, Korea
Fan Wu , Shanghai Jiao Tong University, China
Haris Volos, The University of Arizona, USA
Baoxian Zhang, University of Chinese Academy of Sciences, China
Miao Pan, Texas Southern University, USA
Alexander Min, Intel, USA
Hongwei Zhang, Wayne State University, USA
Violet Syrotiuk, Arizona State University, USA
Yi Shi, Intelligent Automation, USA
Jin Zhang, Hong Kong University of Science and Technology, Hong Kong
Xiaohang Li, Cisco Systems Inc, USA