Thursday, April 09, 2015

Sparse Signal Processing Concepts for Efficient 5G System Design

Gerhard just sent me the following (the paper was on my backlog, I swear):

Dear Igor,

on behalf of Thomas Strohmer, Holger Boche, Peter Jung and myself, I would like to announce the paper "Sparse Signal Processing Concepts for Efficient 5G System Design"

to appear in IEEE Access this year.

In the paper we link CS to next generation 5G wireless communication system design which has received major attention in various communities recently. We question some of the traditional design rules of wireless networks and outline some potential areas where CS could play a central role. The abstract is below.

Thanks in advance!

Thanks Gerhard !

Sparse Signal Processing Concepts for Efficient 5G System Design by Gerhard Wunder, Holger Boche, Thomas Strohmer, Peter Jung

As it becomes increasingly apparent that 4G will not be able to meet the emerging demands of future mobile communication systems, the question what could make up a 5G system, what are the crucial challenges and what are the key drivers is part of intensive, ongoing discussions. Partly due to the advent of compressive sensing, methods that can optimally exploit sparsity in signals have received tremendous attention in recent years. In this paper we will describe a variety of scenarios in which signal sparsity arises naturally in 5G wireless systems. Signal sparsity and the associated rich collection of tools and algorithms will thus be a viable source for innovation in 5G wireless system design. We will discribe applications of this sparse signal processing paradigm in MIMO random access, cloud radio access networks, compressive channel-source network coding, and embedded security. We will also emphasize important open problem that may arise in 5G system design, for which sparsity will potentially play a key role in their solution. 
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