Spiral Networking
PI: Prof. Kwang-Cheng Chen
Intel Champion: Dr. Yen-KuangChen
The goal of project CIFI and SNis to study effective communications in machine swarm of cloud based environments as Figure shown. More precisely, CIFI develops spectral efficient communication and networking among numerous machines to enable cyber-physical systems, using information fusion, inference, and cooperative multi-hop networking, under possible spectrum sharing environments.
Under this challenging scenario, we explore fundamental technology including
- Spectrum sharing multi-hop cooperative networking: Underlarge number of machines, spectrum sharing would be needed. With priority among heterogeneous systems/networks, we study cognitive radio networks. Without priority among heterogeneous systems/networks, we study spectrum sharing heterogeneous networking.
- Using information fusion and inference to establish a spectrum map to enable multi-hop networking in machine swarm: To avoid communication overhead and to determine the optimal routes, we need the knowledge of radio channel conditions that can be provided by establishing a spectrum map. The spectrum map indicates the average channel qualities (radio power or interference level) at different locations. Several innovative approaches have been considered: compressive sensing, tomography, and heterogeneous information fusion and inference(HIFI).
- Traffic reduction: To analyze how much traffic can be reduced by fusing data or inferring information from multiple machines at various points along potential M2M transmission routes that are determined in Target A. The“coding” part is to reduce the rate of information flow at each node by considering the correlation among information flows from other nodes within transmission range. The“forward” part is to choose the optimal next hop (and thus the optimal route) such that the aggregate rate of information flows is minimized.
- Socially enabled heterogeneous networking architecture and algorithms: To resolve the scalability of ad-hoc networking, we investigate the possibility to achieve multi-hop networking of large number of machines under delay constraints and QoS requirements. Proper networking algorithms with above goals are expected as the final project outputs.
Members
Publications
P. Chen et al., "Reciprocal spectrum sharing game and mechanism in cellular systems with Cognitive Radio users", in 2011 IEEE GLOBECOM Workshops (GC Wkshps), pp. 981-985.
H. Chang, K. Chen, "Cooperative spectrum sharing economy for heterogeneous wireless networks", in 2011 IEEE GLOBECOM Workshops (GC Wkshps), pp. 458-463.
S. Lien, S. Shih and K. Chen, "Spectrum Map Empowered Resource Management for QoS Guarantees in Multi-Tier Cellular Networks", in 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, pp. 1-6.
S. Lien et al., "Cooperative Access Class Barring for Machine-to-Machine Communications", IEEE Transactions on Wireless Communications, vol. 11, no. 1, 2012, pp. 27-32.
C. Yu, K. Chen, "Spectrum map retrieval using cognitive radio network tomography", in 2011 IEEE GLOBECOM Workshops (GC Wkshps), pp. 986-991.
W. C. Ao, K. Chen, "Broadcast Transmission Capacity of Heterogeneous Wireless Ad Hoc Networks with Secrecy Outage Constraints", in 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, pp. 1-5.
P. Chen, K. Chen, "Optimal Control of Epidemic Information Dissemination in Mobile Ad Hoc Networks", in 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, pp. 1-5.
W. C. Ao, K. Chen, "Percolation-Based Connectivity of Multiple Cooperative Cognitive Radio Ad Hoc Networks", in 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, pp. 1-6.
W. C. Ao, K. Chen, "Upper Bound on Broadcast Transmission Capacity of Heterogeneous Wireless Ad hoc Networks", IEEE Communications Letters, vol. 15, no. 11, 2011, pp. 1172-1174.
O. Shih et al., "A rule-based mixed mobility model for cars and scooters (poster)", in 2011 IEEE Vehicular Networking Conference (VNC), pp. 198-205.
