Tietotekniikan laitos

Signal Processing and Wireless Communication

last modified Feb 22, 2017 12:04 PM
The research group focuses on the research of signal processing and wireless communications, including but not limit to the following areas: signal processing for communications, brain signal processing, machine learning for signal processing, cognitive radio, dynamic spectrum access, radio resource management and optimization for heterogenous wireless networks, green wireless communication systems, cloud/edge computing and self-organizing networks.


Research Group

Prof. Tapani Ristaniemi, Dr. Zheng Chang, Dr. Younes AbdiPhD students Riaz Mondal, Valeri Tsatsishvili, Jia Liu, Zongwen Peng, Deqing Wang, Rui Yan, Chaoxiang Ye, Ren Ye, Yongjie Zhu.

Affiliated: Prof. Fengyu Cong (Dalian University of Technology, Dalian, China), Prof. Zhisheng Niu (Tsinghua University, Beijing, China), Prof. Zhu Han (University of Houston, Houston, TX)

Selected Recent Publications

Full list can be found here

Wireless Communications 

  1. Y. Abdi and T. Ristaniemi, "Random Interruptions in Cooperation for Spectrum Sensing in Cognitive Radio Networks", IEEE Transactions on Communications, 2017 (JUFO-3)
  2. Z. Chang, S. Zhou, T. Ristaniemi and Z. Niu, "Collaborative Mobile Clouds: An Energy Efficient Paradigm for Content Sharing," IEEE Wireless Communications, 2017 (JUFO-2)
  3. Z. Chang, J. Gong, Y. Li, Z. Zhou, T. Ristaniemi, G. Shi, Z. Han and Z. Niu, ”Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds,” IEEE Journal on Selected Topics in Communications, 2016 (JUFO-3)
  4. Z. Chang, J. Gong, T. Ristaniemi and Z. Niu, ”Energy Efficient Resource Allocation and User scheduling for Collaborative Mobile Clouds with Hybrid Receivers,” IEEE Transaction on Vehicular Technology, 2016 (JUFO-2)
  5. Y. Abdi and T. Ristaniemi ,Joint Local Quantization and Linear Cooperation in Spectrum Sensing for Cognitive Radio Networks”, IEEE Transactions on Signal Processing, 2014 (JUFO-3)
  6. Z. Chang, T. Ristaniemi and Z. Niu, “Radio Resource Allocation for Collaborative OFDMA Relay Networks with Imperfect Channel State Information”, IEEE Transactions on Wireless Communications, vol. 13, no. 5, 2014 (JUFO-3)

Signal Processing

  1. C. Ye, Z. Hu, T. Ristaniemi, M. Gendron and Q. Liu, "Retro-dimension-cue benefit in visual working memory",
    Scientific Reports, 2016 (JUFO-2)
  2. I. Burunat, P. Toiviainen, V. Alluri, B. Bogert, T. Ristaniemi, M. Sams and E. Brattico, "The reliability of continuous brain responses during naturalistic listening to music", NeuroImage, 2015 (JUFO-2)
  3. T. Sipola, T. Ristaniemi and A. Averbuch, “Gear classification and fault detection using a diffusion map framework”, Pattern Recognition Letters, 2014 (JUFO-2)
  4. F. Cong, T. Ristaniemi, and H. Lyytinen, Advanced Signal Processing on Brain Event-related Potentials, World Scientific, Singapore, 2015, 220 pages  (JUFO-1)

  5. F. Cong, Q.-H. Lin, L.-D. Kuang, X.-F. Gong, P. Astikainen, T. Ristaniemi, Tensor Decomposition of EEG Signals: A Brief Review, Journal of Neuroscience Methods 248 (2015) 59–69. (JUFO-1)

  6. F. Cong, V. Alluri, A. Nandi, P. Toiviainen, R. Fa, B. Abu-Jamous, L. Gong, B. Craenen, H. Poikonen, M.Huotilainen and T. Ristaniemi, “Linking Brain Responses to Naturalistic Music through Analysis of Ongoing EEG and Stimulus Features”, IEEE Transactions on Multimedia, 15(5): 1060-1069, 2013 (JUFO-2)


Recent PhD

  • Zhang Chang, "Spectrum and Energy Efficient Solutions For OFDMA Collaborative Wireless Networks", University of Jyvaskyla, 2013.
  • Tuomo Sipola, "Knowledge Discovery Using Diffusion Maps", University of Jyvaskyla, 2013.
  • Jussi Turkka, "Aspects of Knowledge Mining on Minimizing Drive Tests in Self-Organizing Cellular Networks", Tampere University of Technology, 2014.
  • M.G.S. Sriyananda, "Analysis and Performance of FBMC Techniques with Application to Relay Networks", University of Jyvaskyla, 2014.
  • Chen Tao, "Advanced Voice and Data Solutions for Evolution of Cellular Network Systems", University of Jyvaskyla, 2014.
  • Frans Laakso, "Studies on High Speed Uplink Packet Access Performance Enhancements", University of Jyvaskyla, 2014.
  • Fedor Chernogorov, "Advanced Performance Monitoring for Self-Healing Cellular Mobile Networks", University of Jyvaskyla, 2015.
  • Younes Abdi, "Cooperative Spectrum Sensing Schemes for Future Dynamic Spectrum Access Infrastructures", University of Jyvaskyla, 2016.
  • Muhammad Asghar Zeeshan, "Design and Evaluation of Self-Healing Solutions for Future Wireless Networks", University of Jyvaskyla, 2016



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