6 research outputs found

    SMARAD - Centre of Excellence in Smart Radios and Wireless Research - Activity Report 2011 - 2013

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    Centre of Excellence in Smart Radios and Wireless Research (SMARAD), originally established with the name Smart and Novel Radios Research Unit, is aiming at world-class research and education in Future radio and antenna systems, Cognitive radio, Millimetre wave and THz techniques, Sensors, and Materials and energy, using its expertise in RF, microwave and millimeter wave engineering, in integrated circuit design for multi-standard radios as well as in wireless communications. SMARAD has the Centre of Excellence in Research status from the Academy of Finland since 2002 (2002-2007 and 2008-2013). Currently SMARAD consists of five research groups from three departments, namely the Department of Radio Science and Engineering, Department of Micro and Nanosciences, and Department of Signal Processing and Acoustics, all within the Aalto University School of Electrical Engineering. The total number of employees within the research unit is about 100 including 8 professors, about 30 senior scientists and about 40 graduate students and several undergraduate students working on their Master thesis. The relevance of SMARAD to the Finnish society is very high considering the high national income from exports of telecommunications and electronics products. The unit conducts basic research but at the same time maintains close co-operation with industry. Novel ideas are applied in design of new communication circuits and platforms, transmission techniques and antenna structures. SMARAD has a well-established network of co-operating partners in industry, research institutes and academia worldwide. It coordinates a few EU projects. The funding sources of SMARAD are diverse including the Academy of Finland, EU, ESA, Tekes, and Finnish and foreign telecommunications and semiconductor industry. As a by-product of this research SMARAD provides highest-level education and supervision to graduate students in the areas of radio engineering, circuit design and communications through Aalto University and Finnish graduate schools. During years 2011 – 2013, 18 doctor degrees were awarded to the students of SMARAD. In the same period, the SMARAD researchers published 197 refereed journal articles and 360 conference papers

    IEEE Journal of Selected Topics In Signal Processing : Vol. 7, No. 5, October 2013

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    1. Feature Search in the Grassmanian in Online Reinforcement Learning / Shalabh Bhatnagar, Vivek S. Borkar, Prabuchandran K.J. 2. Deterministic Sequencing of Exploration and Exploitation for Multi-Armed Bandit Problems / Sattar Vakili, Keqin Liu, Qin Zhao 3. Sequentiality and Adaptivity Gains in Active Hypothesis Testing / Mohammad Naghshvar, Tara Javidi 4. Multistage Adaptive Estimation of Sparse Signals / Dennis Wei, Alfred O. Hero 5. Hypothesis Testing in Feedforward Networks with Broadcast Failures / Zhenliang Zhang, et al. 6. Learning-Based Constraint Satisfaction with Sensing Restrictions / Alessandro Checco, Doughlas J. Leith 7. Distributed Energy-Aware Diffusion Least Mean Squares: game-theoretic learning / Omid Namvar Gharehshiran, Vikram Krishnamurthy 8. Distributed Learning and Multiaccess of On-Off Channels / Shiyao Chen, Lang Tong 9. Winning the Lottery: learning perfect coordination with minimal feedback / William Zame, Jie Xu, Michaela van der Schaar 10. Multiagent Reinforcement Learning Based Spectrum Sensing Policies for Cognitive Radio Networks / Jarmo Lunden, et al. 11. Opportunistic Spectrum Access by Exploiting Primary User Feedbacks in Underlay Cognitive Radio Systems: an optimaly analysis / Kehao Wang, Lin Chen, Quan Liu 12. Maximizing Quality of Information from Multiple Sensor Devices: the exploration vs exploitation tradeoff / Ertugul Necdet Ciftcioglu, Aylin Yener, Michael J. Neely 13. Transmit Power Control Policies for Energy Harvesting Sensors with Retransmissions / Anup Aprem, et al. 14. Robust Reputation Protocol Design for Online Communities: a stochastic stability analysis / Yu Zhang, Michaela van der Schaa
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