Project Description

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

Project Team

• Xin Wang

• Shiwen Mao

• Harish Viswanathan

Related Publications (journal & magazine)

• X. Chen, H. Zhang, C. Wu, S. Mao, Y. Ji, and M. Bennis, “Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning,” IEEE Internet of Things Journal, Special Issue on Emerging Computing Offloading for IoTs: Architectures, Technologies, and Applications, vol.6, no.3, pp.4005-4018, June 2019. DOI: 10.1109/JIOT.2018.2876279.

• Y. Sun, M. Peng, and S. Mao, “Hierarchical radio resource allocation for network slicing in fog radio access networks,” IEEE Transactions on Vehicular Technology, vol.68, no.4, pp.3866-3881, Apr. 2019. DOI: 10.1109/TVT.2019.2896586.

• Y. Sun, M. Peng, and S. Mao, “Deep reinforcement learning based mode selection and resource management for green fog radio access networks,” IEEE Internet of Things Journal, Special Issue on AI-Enabled Cognitive Communications and Networking for IoT, vol.6, no.2, pp.1960-1971, Apr. 2019. DOI: 10.1109/JIOT.2018.2871020.

• J. Zhao, Q. Liu, X. Wang, and S. Mao, “Scheduled sequential compressed spectrum sensing for wideband cognitive radios,” IEEE Transactions on Mobile Computing, vol.17, no.4, pp.913-926, Apr. 2018. DOI: 10.1109/TMC.2017.2744621.

• J. Zhao, Q. Liu, X. Wang, and S. Mao, “Scheduling of collaborative sequential compressed sensing over wide spectrum band,” IEEE/ACM Transactions on Networking, vol.26, no.1, pp.492-505, Feb. 2018. DOI: 10.1109/TNET.2017.2787647.

• L. Liu, Z. Chang, X. Guo, S. Mao, and T. Ristaniemi, “Multi-objective optimization for computation offloading in fog computing,” IEEE Internet of Things Journal, vol.5, no.1, pp.283-294, Feb. 2018. DOI: 10.1109/JIOT.2017.2780236.

• Y. Li, T. Jiang, K. Luo, and S. Mao, “Green heterogeneous cloud radio access networks: Potential techniques, performance tradeoffs, and challenges,” IEEE Communications Magazine, vol.55, no.11, pp.33-39, Nov. 2017. DOI: 10.1109/MCOM.2017.1600807.

• Z. Jiang, S. Mao, and X. Wang, “Dynamic downlink resource allocation and access strategy for femtocell networks,” Wiley Transactions on Emerging Telecommunications Technologies, Special Issue on 5G Wireless Ultra-Dense Networks, vol.28, no.9, pp.e3151, Sept. 2017. DOI: 10.1002/ett.3151.

• M. Feng, S. Mao, and T. Jiang, “Base station ON-OFF switching in 5G wireless systems: Approaches and challenges,” IEEE Wireless Communications, Special Issue on Sustainable Green Networking and Computing in 5G Systems: Technology, Economics and Deployment, vol.24, no.4, pp.46-54, Aug. 2017. DOI: 10.1109/MWC.2017.1600353.

• K. Wang, W. Zhou, and S. Mao, “On joint BBU/RRH resource allocation in heterogeneous Cloud-RANs,” IEEE Internet of Things Journal, vol.4, no.3, pp.749-759, June 2017. DOI: 10.1109/JIOT.2017.2665550.

• Z. Jiang and S. Mao, “Energy delay trade-off in multi-channel full-duplex wireless LANs,” IEEE Internet of Things Journal, vol.4, no.3, pp.658-669, June 2017. DOI: 10.1109/JIOT.2016.2638851.

• Z. Jiang and S. Mao, “Interoperator opportunistic spectrum sharing in LTE-unlicensed,” IEEE Transactions on Vehicular Technology, vol.66, no.6, pp.5217-5228, June 2017. DOI: 10.1109/TVT.2016.2613444.

• X. Wang, S. Mao, and M.X. Gong, “A survey of LTE Wi-Fi coexistence in unlicensed bands,” ACM GetMobile: Mobile Computing and Communications Review, vol.20, no.3, pp.17-23, July 2016. DOI: 10.1145/3036699.3036705.

• Z. Jiang and S. Mao, “Energy delay trade-off in cloud offloading for multi-core mobile devices,” IEEE Access Journal, Special Section on Emerging Cloud-based Wireless Communications and Networks, vol.3, no.1, pp.2306-2316, Nov. 2015. DOI: 10.1109/ACCESS.2015.2499300.

• H. Zhou, S. Mao, and P. Agrawal, “Approximation algorithms for cell association and scheduling in femtocell networks,” IEEE Transactions on Emerging Topics in Computing, Special Section on Emerging Mobile and Ubiquitous Systems, vol.3, no.3, pp.432-443, Sept. 2015. DOI: 10.1109/TETC.2015.2395093.

• M. Feng, S. Mao, and T. Jiang, “Joint duplex mode selection, channel allocation, and power control for full-duplex cognitive femtocell networks,” Elsevier Digital Communications and Networks Journal, vol.1, no.1, pp.30-44, Feb. 2015. DOI: 10.1016/j.dcan.2015.01.002.

• M. Feng, T. Jiang, D. Cheng, and S. Mao, “Cooperative small cell networks: High capacity for hotspots with interference mitigation,” IEEE Wireless Communications, Special Issue on Converged Mobile Networks, vol.21, no.6, pp.108-116, Dec. 2014. DOI: 10.1109/MWC.2014.7000978.

• D. Hu, S. Mao, and X. Su, “Multicast in femtocell networks: A successive interference cancellation approach,” EAI Endorsed Transactions on Mobile Communications and Applications, vol.14, no.4, pp.e3, Sept. 2014. DOI: 10.4108/mca.1.4.e3.

Related Publications (conference)

• K. Wang, W. Zhou, and S. Mao, “Energy efficient joint resource scheduling for delay-aware traffic in Cloud-RAN,” in Proc. IEEE GLOBECOM 2016, Washington DC, Dec. 2016, pp.1-6.

• Z. Jiang and S. Mao, “Energy delay trade-off in cloud offloading for multi-core mobile devices,” in Proc. IEEE GLOBECOM 2015, San Diego, CA, Dec. 2015, pp.1-6.

• Z. Jiang and S. Mao, “Online channel assignment, transmission scheduling, and transmission mode selection in multi-channel full-duplex wireless LANs,” in Proc. The 10th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2015), LNCS 9204, K. Xu and J. Zhu (Eds.), Qufu, P.R. China, Aug. 2015, pp.243-252. DOI: 10.1007/978-3-319-21837-3_24.

• M. Feng, S. Mao, and T. Jiang, “Duplex mode selection and channel allocation for full-duplex cognitive femtocell networks,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.1900-1905.

• Z. Jiang and S. Mao, “Access strategy and dynamic downlink resource allocation for femtocell networks,” in Proc. IEEE GLOBECOM 2013, pp.3528-3533, 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, pp.661-666, Shanghai, China, April 2013.

• Y. Xu and S. Mao, “On interference alignment in multi-user OFDM systems,” in Proc. IEEE GLOBECOM 2012, pp.5339-5344, Anaheim, CA, December 2012.

• Y. Xu, S. Mao, and X. Su, “On adopting Interleave Division Multiple Access to two-tier femtocell networks: The uplink case,” in Proc. IEEE ICC 2012, pp.591-595, Ottawa, Canada, June 2012.

• D. Hu and S. Mao, “Multicast in femtocell networks: A successive interference cancellation approach,” in Proc. IEEE GLOBECOM 2011, pp.1-6, Houston, TX, December 2011.

• D. Hu and S. Mao, “Resource allocation for medium grain scalable videos over femtocell cognitive radio networks,” in Proc. The 31st IEEE International Conference on Distributed Computing Systems (ICDCS 2011), pp.258-267, Minneapolis, MN, June 2011.

• Y. Huang and S. Mao, “Downlink power control for variable bit rate video over multicell wireless networks,” in Proc. IEEE INFOCOM 2011, pp.2561-2569, Shanghai, China, April 2011.

We acknowledge the generous support from our sponsor

• National Science Foundation

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.