Cognitive and Efficient Spectrum Access in Autonomous Wireless Networks
The objective of this project is to enable more efficient and reliable operation of autonomous femtocell networks with agile spectrum access, autonomous interference control, as well as intelligent network self-organization and self-optimization. This project falls into four interacted thrusts: 1) Incorporate cognition into the femtocell networks to cognitively reuse the available spectrum sensed; 2) Develop distributed, dynamic and cooperative interference management schemes exploiting antenna techniques and based on sensed environmental conditions; 3) Investigate the scenarios and schemes that femtocells can be exploited to facilitate macrocell transmissions, and the potential gains in capacity, coverage and reliability; 4) Incorporate interference cancellation for data multicast, and develop techniques to support multiuser video streaming. The project also develops a testbed with open source programmable wireless platforms, for prototyping and evaluating the effectiveness of various techniques developed. The proposed research has the potential to significantly increase the capacity and resilience of existing and future wireless networks.
February 1, 2013 ~ January 31, 2017
D. Hu, H. Zhou, S. A. Reddy, S. Mao, P. Agrawal, “On cell association and scheduling policies in femtocell networks,” under review.
Z. Jiang and S. Mao, “Access strategy and dynamic downlink resource allocation for femtocell networks, in Proc. IEEE GLOBECOM 2013, Atlanta, GA, December 2013.
H. Zhou, D. Hu, S. Mao, P. Agrawal, and S. A. Reddy, “Cell association and handover management in femtocell networks,” in Proc. IEEE WCNC 2013, Shanghai, China, Apr. 2013, pp.1-6.
Y. Xu, S. Mao, and X. Su, “On applying Interleave Division Multiple Access to two-tier femtocell networks: The uplink case,” in Proc. IEEE ICC 2012, Ottawa, Canada, June 2012, pp.601-605.
D. Hu and S. Mao, "On Medium Grain Scalable video streaming over cognitive radio femtocell networks," IEEE Journal on Selected Areas in Communications, Special Issue on Femtocell Networks, vol.30, no.3, pp.641-651, Apr. 2012.
D. Hu and S. Mao, “Multicast in femtocell networks: A successive interference cancellation approach,” in Proc. IEEE GLOBECOM 2011, Houston, TX, Dec. 2011, pp.1-6.
D. Hu and S. Mao, "Resource allocation for medium grain scalable videos over femtocell cognitive radio networks," in Proc. The 31st IEEE Intl Conference on Distributed Computing Systems (ICDCS 2011), Minneapolis, MN, June 2011, pp.258-267.
We acknowledge the generous support from our sponsor
This work is supported in part by the U.S. National Science Foundation (NSF) under Grant CNS-1247955. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the foundation.