|Thursday, December 8|
|14:00 - 15:40|
|SSPC-1: Sparse Signal Processing for Communications I|
|16:10 - 17:30|
|SSPC-2: Sparse Signal Processing for Communications II|
|Friday, December 9|
|10:00 - 11:00|
|Keynote: SSPC-K1: Georgios B. Giannakis - Sparsity and Low Rank for Inference of Cognitive Network States|
|14:00 - 15:40|
|SSPC-P1: Sparse Signal Processing for Communications Poster I|
Viewed through a statistical inference lens, many network analytics challenges boil down to (non-) parametric regression and classification, dimensionality reduction, or clustering. Adopting such a vantage point, this keynote presentation will put forth novel learning approaches for comprehensive situation awareness of cognitive radio (CR) networks that includes spatio-temporal sensing via RF spectrum and channel gain cartography, flagging of network anomalies, prediction of network processes, and dynamic topology inference. Key emphasis will be placed on parsimonious models leveraging sparsity, low-rank or low-dimensional manifolds, attributes that are instrumental for complexity reduction.
Sparse signal processing has extensively been used in various fields of communications. Most of the communicational signals possess the property of being sparse in some domain which can be leveraged to process them more efficiently and accurately. Using the modern techniques of sparse signal processing, we can make a great progress in the communication areas such as: sparse channel estimation, compressive spectrum sensing and wireless parameter estimation, distributed networks, smart antennas and MIMO systems, wireless sensor networks, radar systems, cognitive radio, smart green. This symposium on “ sparse signal processing for communications” aims to discuss some of the recent advances in this area.
Submissions are welcome on topics including:
Prospective authors are invited to submit full-length papers, with 3 to 5 pages for technical content including figures and possible references. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. Submission is through the GlobalSIP website at http://2016.ieeeglobalsip.org/Papers.asp.
|Paper Submission Deadline|
|Review Results Announced|
|Camera-Ready Papers Due||September 30, 2016|