Communication and Information
Sciences Laboratory
Sciences Laboratory
Spectrum situational awareness (SSA) and signals intelligence (SIGNIT)
Wideband autonomous cognitive radio (WACR)Journals
- M. A. Aref, S. K. Jayaweera and Esteban Yepez, “Survey on Cognitive Anti-jamming Communications”,
IET Communications, May 2020.
- M. A. Aref and S. K. Jayaweera, “Jamming-Resilient Wideband Cognitive Radios with Multi-Agent Reinforcement Learning”,
International Journal of Software Science and Computational Intelligence (IJSSCI), Vol. 10, no. 3, pp. 1-23, June 2018.
- M. Bkassiny, A. L. De Sousa and S. K. Jayaweera, “Wideband Spectrum Sensing for Cognitive Radios in Weakly Correlated Non-Gaussian Noise”,
IEEE Communications Letters, Vol. 19, no. 7, pp. 1137-1140, July 2015.
- M. Bkassiny and S. K. Jayaweera, “Robust, Non-Gaussian Wideband Spectrum Sensing in Cognitive Radios”,
IEEE Transactions in Wireless Communications, vol. 13, no. 11, pp. 6410 – 6421, Nov. 2014.
- Y. Li, S. K. Jayaweera, M. Bkassiny and C. Ghosh, “Learning-aided Sub-band Selection Algorithms for Spectrum Sensing in Wide-band Cognitive Radios”,
IEEE Transactions in Wireless Communications, vol. 13, no. 4, pp. 2012 – 2024, April. 2014.
- Y. Li and S. K. Jayaweera, “Dynamic Spectrum Tracking using Energy and Cyclostationarity-based Multi-variate Non-parametric Quickest Detection For Cognitive Radios”, IEEE Trans. Wireless Commun.,
vol. 12, no. 7, pp. 3522-3532, July 2013.
- M. Bkassiny, Y. Li and S. K. Jayaweera, “A survey on machine-learning techniques in cognitive radios”, IEEE Communications Surveys and Tutorials,
vol. 15, no. 3, pp. 1136-1159. Third Quarter 2013
- M. Bkassiny, S. K. Jayaweera and Y. Li, “Multidimensional Dirichlet Process-based Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios”, IEEE Trans. Wireless Commun.,
vol. 12, no. 11, pp. 5413-5423, Nov. 2013.
- M. Bkassiny, Y. Li, G. El-Howayek, S. K. Jayaweera, and C. G. Christodoulou, “Recent Patents on Spectrum Sensing Methods and RF Architectures for Cognitive Radios”, Journal of Recent Patents on Computer Science, Special Issue on Recent Advances in Cognitive Radio Communications, Bentham Science Publishers Ltd., vol.5, no.2, pp.83-92, Aug. 2012.
- M. Bkassiny, S. K. Jayaweera, Y. Li, and K. A. Avery, “Wideband spectrum sensing and non-parametric signal classification for autonomous self-learning cognitive radios”, IEEE Trans. Wireless Commun., vol. 11, no. 7, pp. 2596-2605, July 2012.
Conferences
- M. A. Aref and S. K. Jayaweera, "Multi-task Deep Reinforcement Learning for Cognitive Spectrum-agile Communications",
2019 14th Conference on Industrial and Information Systems (ICIIS), Kandy, Sri Lanka, Dec. 2019.
- D. R. M. Kartchner and S. K. Jayaweera, "A Frequency-Hopping Game Between a Smart Jammer and a Cognitive Radio", 2019 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS), BALI, Indonesia, Nov. 2019.
- M. A. Aref and S. K. Jayaweera, "Robust Deep Reinforcement Learning for interference Avoidance in Wideband Spectrum",
IEEE Cognitive Communications for Aerospace Applications Workshop (IEEE-CCAA’19), Cleveland, OH, USA, Jun. 2019.
- M. A. Aref and S. K. Jayaweera, "Spectrum-agile Cognitive Interference Avoidance through Deep Reinforcement Learning",
14th EAI International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM’19), Poznan, Poland, Jun. 2019.
- M. A. Aref and S. K. Jayaweera, "Classification of Radar and Communications Signals using Wideband Autonomous Cognitive Radios",
IEEE Global Communications Conference (Globecom’18), Abu Dhabi, UAE, Dec. 2018.
- S. K. Jayaweera and M. A. Aref, "Cognitive Engine Design for Spectrum Situational Awareness and Signals Intelligence",
The 21st International Symposium On Wireless Personal Multimedia Communications (WPMC'18), Chiang Rai, Thailand, Nov. 2018.
- M. Bkassiny and S. K. Jayaweera, "Independent Component Analysis-based Source Separation with Noise Cancelling for Cyclostationary Detection in Cognitive Radios",
The 2018 IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, USA, Aug. 2018.
- D. R. M. Kartchner and S. K. Jayaweera, "A Modified Test Statistic for Maximum-Minimum Eigenvalue Detection Based on Asymptotic Distribution Thresholds",
4th International Multidisciplinary Engineering Research Conference (MERCon'18), University of Moratuwa, Sri Lanka, May 2018.
- M. A. Aref and S. K. Jayaweera, "A Cognitive Anti-jamming and Interference-Avoidance Stochastic Game",
16th IEEE International Conference on Cognitive Informatics & Cognirive Computing (ICCI*CC' 17), University of Oxford, UK, Jul. 2017.
- M. A. Aref and S. K. Jayaweera, "A Novel Cognitive Anti-jamming Stochastic Game",
IEEE Cognitive Communications for Aerospace Applications Workshop (IEEE-CCAA’17), Cleveland, OH, USA, Jun. 2017.
- J. S. Perez, S. K. Jayaweera and S. Lane, "Machine Learning Aided Cognitive RAT Selection for 5G Heterogeneous Networks",
IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom '17), Istanbul, Turkey, Jun. 2017.
- M. A. Aref, S. K. Jayaweera and S. Machuzak, "Multi-agent Reinforcement Learning Based Cognitive Anti-jamming",
IEEE Wireless Communications and Networking Conference (WCNC'17), San Francisco, CA, USA, March. 2017.
- M. A. Aref, S. Machuzak, S. K. Jayaweera and S. Lane, "Replicated Q-learning based sub-band selection for wideband spectrum sensing in cognitive radios",
IEEE/CIC International Conference on Communications in China (ICCC), Chengdu China, July. 2016.
- S. Machuzak and S. K. Jayaweera, "Reinforcement learning based anti-jamming with wideband autonomous cognitive radios",
IEEE/CIC International Conference on Communications in China (ICCC), Chengdu China, July. 2016.
- P. Das and S. K. Jayaweera, "Robust wideband spectrum sensing with compressive sampling in cognitive radios",
IEEE Vehicular Technology Conference (VTC Fall), Boston, MA, Sep. 2015.
- M. Bkassiny and S. K. Jayaweera, "Low-complexity sequential non-parametric signal classification for wideband cognitive radios",
The 8th International conference on telecommunication system, services, and application (TSSA’14), Kuta Bali, Indonesia, Oct. 2014.
- Y. Li, S. K. Jayaweera, C. Ghosh and M. Bkassiny, "Learning-aided Sensing Scheduling for Wide-band Cognitive Radios", Worskshop on Wideband Cognitive Radio Communications and Networks (WCRCN) at IEEE Vehicular Technology Conference (VTC-Fall ‘13), Las Vegas, NV, USA, Sep., 2013.
- Y. Li, S. K. Jayaweera and C. G. Christodoulou, "Wideband PHY/MAC bandwidth aggregation optimization for cognitive radios", Third International Workshop on Cognitive Information Processing, Parador de Baiona, Spain, May, 2012.
- C. G. Christodoulou, Y. Tawk, and S. K. Jayaweera, "Cognitive radio, reconfigurable antennas and Radiobots", IEEE International Workshop on Antenna Technology (iWAT '12), Chiangmai, Tuscan, AZ, USA, Mar. 2012.
- M. Bkassiny, S. K. Jayaweera, Y, Li and K. A. Avery, "Blind cyclostationary feature detection based spectrum sensing for Autonomous self-learning cognitive radios", IEEE International Conference on Communications (ICC '12), Ottawa, Canada, June 2012.
- Y. Tawk, S. K. Jayaweera, C. G. Christodoulou and J. Costantine, "A comparison between different cognitive radio antenna systems",
IEEE Intelligent Signal Processing and Communication systems (ISPACS '11),
Chiangmai, Thailand, Dec. 2011.
- S. K. Jayaweera, Y. Li, M. Bkassiny, C. G. Christodoulou and K. A. Avery, "Radiobots: The autonomous, self-learning future cognitive radios",
IEEE Intelligent Signal Processing and Communication systems (ISPACS '11),
Chiangmai, Thailand, Dec. 2011.
Distributed coherent communications Cognitive radio networks Cooperative and MIMO communications SmartGrid Communications and Optimization Space situational Awareness Distributed detection and estimation in wireless sensor network Consensus tracking/estimation in mobile sensor networks Information theory of network control system