Top Downloads in IEEE Xplore

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Top Downloads in IEEE Xplore

Hong Zhao
Each "Reader’s Choice" column focuses on a different publication of the IEEE Signal Processing Society. This month we are highlighting articles in IEEE Transactions on Signal and Information Processing over Networks (T-SIPN).
T-SIPN publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g., time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks and applications of distributed signal processing.
This issue’s “Reader’s Choice” column lists the top 10 articles of T-SIPN most downloaded from January 2017 to August 2018. Your suggestions and comments are welcome and should be sent to Associate Editor H. Vicky Zhao (
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Sardellitti, S.; Scutari, G.; Barbarossa, S. Migration of computationally expensive tasks from mobile devices to a common cloud server in a multiple-input, multiple-output multicell system is considered in this paper, and the problem is formulated as the joint optimization of the radio resources and the computational resources with latency constraints. The authors propose an iterative algorithm that converges to a local optimal solution, and its implementation is distributed and parallel, requiring only limited coordination with the cloud.

SPS on Twitter

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting…
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in…
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat…
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special…
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:…

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel