M2M Information Dissemination: Intelligent Transport of ITS Data
PI: Prof. Hsuan-Jung Su & Co-PI: Prof. Hung-Yun Hsieh
Intel Champion: Dr. Minnie Ho & Co-Champion: Dr. Shu-ping Yeh
Project Objective
Investigate and provide physical layer (PHY) and medium access control layer (MAC) technologies to support future machine-to-machine (M2M) wireless networks, with the initial focus on improving the capability of current human-to-human (H2H) wireless networks in handling high density M2M applications and intelligently share spectrum with them.
Key Technologies
The basic concepts are to improve frequency reuse, utilize idle spectra through sensing and opportunistic access, and improve areal spectral efficiency through interference mitigation and distributed coding which takes advantage of correlation between machines.
- Clustering: The machines form smaller clusters and transmit to “cluster heads”. This results in short range transmission, power saving and better frequency reuse. Cluster heads perform multi-hop transmission to the data collection center. Machines sense to avoid interfering or being interfered by H2H communications. The idea is comparable to the concept of traffic off-loading in the next-generation cellular networks to deploy smaller pico or femto cells, but clustering is more flexible, does not need network planning.
- Distributed Coding: Distributed source coding for correlated data through Wyner-Ziv coding. For multi-hop transmission, combined routing and spatial diversity. The goal is to provide practical yet close-to-theoretical-bound coding/decoding design (with finite code block-length), tailored for M2M traffic.
- Interference Mitigation: Apply inter-cluster interference mitigation to achieve frequency reuse one, with: soft frequency reuse, adaptive frequency reuse, coordinated transmission/scheduling, and interference alignment and cancellation. The machine-human interference is handled by sensing and opportunistic access.
Members
Publications
Q. Thieu, H. Hsieh, "Outage Protection for Cellular-Mode Users in Device-to-Device Communications through Stochastic Optimization", in 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), pp. 1-5.
Y. Tsai, C. Song and H. Hsieh, "Joint Optimization of Clustering and Scheduling for Machine-to-Machine Communications in Cellular Wireless Networks", in 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), pp. 1-5.
H. Hsieh, C. Chang and W. Liao, "Not Every Bit Counts: Data-Centric Resource Allocation for Correlated Data Gathering in Machine-to-Machine Wireless Networks", ACM Trans. Sen. Netw., vol. 11, no. 2, mar 2015.
S. Wang et al., "A Novel Low-Complexity Precoded OFDM System With Reduced PAPR", IEEE Transactions on Signal Processing, vol. 63, no. 6, 2015, pp. 1366-1376.
C. Hsu, H. Hsieh, "To Mute or to Whisper: A Study on Low-Duty Mode Operation for Interference Control in HetNets", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 572-577.
P. Chen et al., "Analyzing and Minimizing Random Access Delay for Delay-Sensitive Machine-to-Machine Communications: A New Perspective on Adaptive Persistence Control", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 69-74.
S. Wang, "Self-Organizing Scheme for Machine-to-Machine Networks Based on Cross-Entropy Method", in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 562-566.
F. Hsu, H. Su, "When does the AP deployment incentivize a user to offload cellular data: An energy efficiency viewpoint", in 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), pp. 210-213.
M. Chen et al., "Low-complexity remote compressive sensing for machine-to-machine networks with stochastic sources", in 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1-6.
S. Wang et al., "Random access design for clustered wireless machine to machine networks", in 2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom), pp. 107-111.
