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
C. Chang, H. Hsieh, "Not every bit counts: A resource allocation problem for data gathering in machine-to-machine communications", in 2012 IEEE Global Communications Conference (GLOBECOM), pp. 5537-5543.
S. Wei, H. Hsieh and H. Su, "Joint optimization of cluster formation and power control for interference-limited machine-to-machine communications", in 2012 IEEE Global Communications Conference (GLOBECOM), pp. 5512-5518.
C. Chang et al., "Not every bit counts: Shifting the focus from machine to data for machine-to-machine communications", in 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), pp. 581-585.
F. Hsu, H. Su, "Analysis of a Reservation-Based Random Access Network: Throughput Region and Power Consumption", IEEE Transactions on Communications, vol. 61, no. 1, 2013, pp. 237-247.
C. Chien, H. Su and H. Li, "Device-to-Device assisted downlink broadcast channel in cellular networks", in The 15th International Symposium on Wireless Personal Multimedia Communications, 2012, pp. 85-89.
C. Chien, H. Su and H. Li, "Device-to-Device assisted downlink broadcast channel in cellular networks", in The 15th International Symposium on Wireless Personal Multimedia Communications, 2012, pp. 85-89.
S. Wei, H. Hsieh and H. Su, "Enabling dense machine-to-machine communications through interference-controlled clustering", in 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 774-779.
Y. Wei et al., "Graph-based code design for quadratic-Gaussian Wyner-Ziv problem with arbitrary side information", in 2012 IEEE International Symposium on Information Theory Proceedings, pp. 6-10.
F. Hsu, C. Liu and H. Su, "Exploiting channel state information in slotted ALOHA with SINR capture", in 2012 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1675-1679.
J. Tsai, H. Hsieh, "On Using Multi-State Spectrum Sensing for Joint Detection and Transmission in Opportunistic Spectrum Sharing", in 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, pp. 1-6.
