Thursday 23rd of November 2017
 

VMIMO scheme for Machine-to-Machine on Cellular Network


Wu Xianfeng, Wang Yinfeng, Liu Zhijun, Li Huazhong and Ren Xianyi

Machine-to-Machine (M2M) involves communication through a wire or wireless network without human intervention. M2M on Cellular network, also defined as Machine Type Communications (MTC) by 3rd Generation Partnership Project (3GPP), has shown great potential in the industry for its long distance wireless advantage. Different from the traditional human to human (H2H) communications, M2M communications involve a large number of terminals and network congestion may occur due to simultaneous signaling or data messages from MTC devices. In this paper, we overview the latest MTC optimization categories of 3GPP and highlight those anti-congestion solutions. Then we add a virtual MIMO (VMIMO) scheme to alleviate MTC network congestion. The simulation of VMIMO for MTC shows the effectiveness of this scheme.

Keywords: Machine-to-Machine; Machine Type Communications; virtual MIMO; anti-congestion.

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ABOUT THE AUTHORS

Wu Xianfeng
Wu Xianfeng received the M.S. and PhD degrees from Institute of Pattern recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China. in 2000 and 2005, respectively. In 2005-2010, he joined ZTE Corporation ,Shenzhen,China, as a chief engineer. In 2011, he joined Shenzhen Institute of Information technology, China. His current research interests include wireless network, M2M, computer vision and embedded-system .

Wang Yinfeng
Wang Yinfeng received the PhD degree from Xi¡¯an Jiaotong University, in major of computer science in 2009. He was a postdoctoral fellow with School of Computer Science and Engineering, Hongkong University, from 2009 to 2010. In 2011,he joined Shenzhen Institute of Information technology, China. His current research interests include cloud-computing , software engineering and IOT.

Liu Zhijun
Liu Zhijun received PhD degrees from Institute of Pattern recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China. in 2007. He was a postdoctoral fellow in TCL Research Center, Shenzhen, China from 2008 to 2010. In 2010,he joined Shenzhen Institute of Information technology, China, as an associate professor. His current research interests include pattern recognition, software engineering and cloud computing.

Li Huazhong
Li Huazhong, born in 1963,. Ph.D. He is an associate professor in Shenzhen Institute of Information Technology,. His research fields include Artificial Intelligence£¬ Robotics, Software architecture and Virtual Reality.

Ren Xianyi
Xianyi Ren received the B.S. degree from Xidian University, Xi¡¯an, China, and the M.S and PH.D. degree from Huazhong University of Science and Technology, Wuhan, China, in 1995 ,1998, and 2005 respectively. She completed the post doctoral research in Research Institute of Tsinghua University in Shenzhen, in 2005. She is an associate professor in Shenzhen Institute of Information Technology, Shenzhen, China. Her research interests include image processing and video surveillance and machine vision.


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