Top Downloads in IEEE Xplore

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 (vzhao@tsinghua.edu.cn).

 

 

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.