Full Duplex for Cognitive Networks

Kannan Srinivasan (OSU) and Lili Qiu (UT Austin)


As new spectrum for data communication becomes available, it is increasingly important to develop cognitive network technologies that can opportunistically use spectrum whenever available and speak different wireless protocols on demand. The main objective of this project is to explore how the current state of the cognitive radio research can be made richer and more efficient with the latest advances in wireless physical layer technologies. Specifically, we explore:

- how in-band full duplex can improve cognitive radio systems

- how to extend the benefit to cellular networks

- how to translate physical layer advances to end-to-end performance gains.


  1. CoReCast: Collision Resilient Broadcasting in Vehicular Networks. In Proc. of ACM MobiSys 2018. Tanmoy Das, Lu Chen, Rupam Kundu, Arjun Bakshi, Prasun Sinha, Kannan Srinivasan, Gaurav Bansal, Takayuki Shimizu. [PDF]
  2. Towards unlicensed cellular networks in TV whitespace. Ghufran Baig, Dan Alistarh, Thomas Karagiannis, Bozidar Radunovic, Matthew Balkwill, and Lili Qiu. ACM CoNEXT 2017. [PDF]
  3. Apurv Bhartia, Deeparnab Chakrabarty, Krishna Kant Chintalapudi, Lili Qiu, Bozidar Radunovic, Ramachandran Ramjee. IQ-Hopping: Distributed Oblivious Channel Selection for Wireless Networks. ACM MobiHoc, May 2016. [PDF]
  4. Owais Khan and Lili Qiu. Accurate WiFi Packet Delivery Rate Estimation and Applications. IEEE INFOCOM, 2016. [PDF]
  5. Wei-Liang Shen, Kate Ching-Ju Lin, Wan-Jie Cheng, Lili Qiu, and Ming-Syan Chen. Concurrent Packet Recovery for Distributed Uplink Multiuser MIMO Networks. IEEE Transactions on Mobile Computing, 2016. [PDF]
  6. Fei Wu, Yang Yang, Ouyang Zhang, Kannan Srinivasan, and Ness B. Shroff. Anonymous-Query based Rate Control for Wireless Multicast: Approaching Optimality with Constant Feedback. ACM MobiHoc 2016.[PDF]
  7. Zhenzhi Qian, Bo Ji, Kannan Srinivasan, and Ness B. Shroff. Achieving Delay Rate-function Optimality in OFDM Downlink with Time-correlated Channels. IEEE Infocom 2016.[PDF]


This project is supported in part by NSF CNS-1547239.